FourSquare API with Python.ipynb

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    "\n",
    "\n",
    "<h1 align=center><font size = 5>Learning FourSquare API with Python</font></h1>"
   ]
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    "   "
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   "source": [
    "## Introduction\n",
    "\n",
    "In this lab, you will learn in details how to make calls to the Foursquare API for different purposes. You will learn how to construct a URL to send a request to the API to search for a specific type of venues, to explore a particular venue, to explore a Foursquare user, to explore a geographical location, and to get trending venues around a location. Also, you will learn how to use the visualization library, Folium, to visualize the results."
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   "source": [
    "## Table of Contents\n",
    "\n",
    "1. <a href=\"#item1\">Foursquare API Search Function</a>\n",
    "2. <a href=\"#item2\">Explore a Given Venue</a>  \n",
    "3. <a href=\"#item3\">Explore a User</a>  \n",
    "4. <a href=\"#item4\">Foursquare API Explore Function</a>  \n",
    "5. <a href=\"#item5\">Get Trending Venues</a>  "
   ]
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   "source": [
    "### Import necessary Libraries"
   ]
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     "text": [
      "Requirement already satisfied: geopy in c:\\python37\\lib\\site-packages (1.21.0)\n",
      "Requirement already satisfied: geographiclib<2,>=1.49 in c:\\python37\\lib\\site-packages (from geopy) (1.50)\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING: You are using pip version 19.3.1; however, version 20.0.2 is available.\n",
      "You should consider upgrading via the 'python -m pip install --upgrade pip' command.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Collecting folium\n",
      "  Downloading https://files.pythonhosted.org/packages/fd/a0/ccb3094026649cda4acd55bf2c3822bb8c277eb11446d13d384e5be35257/folium-0.10.1-py2.py3-none-any.whl (91kB)\n",
      "Requirement already satisfied: numpy in c:\\python37\\lib\\site-packages (from folium) (1.17.4)\n",
      "Requirement already satisfied: jinja2>=2.9 in c:\\python37\\lib\\site-packages (from folium) (2.10.3)\n",
      "Requirement already satisfied: requests in c:\\python37\\lib\\site-packages (from folium) (2.22.0)\n",
      "Collecting branca>=0.3.0\n",
      "  Downloading https://files.pythonhosted.org/packages/81/6d/31c83485189a2521a75b4130f1fee5364f772a0375f81afff619004e5237/branca-0.4.0-py3-none-any.whl\n",
      "Requirement already satisfied: MarkupSafe>=0.23 in c:\\python37\\lib\\site-packages (from jinja2>=2.9->folium) (1.1.1)\n",
      "Requirement already satisfied: chardet<3.1.0,>=3.0.2 in c:\\python37\\lib\\site-packages (from requests->folium) (3.0.4)\n",
      "Requirement already satisfied: idna<2.9,>=2.5 in c:\\python37\\lib\\site-packages (from requests->folium) (2.8)\n",
      "Requirement already satisfied: certifi>=2017.4.17 in c:\\python37\\lib\\site-packages (from requests->folium) (2019.9.11)\n",
      "Requirement already satisfied: urllib3!=1.25.0,!=1.25.1,<1.26,>=1.21.1 in c:\\python37\\lib\\site-packages (from requests->folium) (1.25.7)\n",
      "Requirement already satisfied: six in c:\\python37\\lib\\site-packages (from branca>=0.3.0->folium) (1.13.0)\n",
      "Installing collected packages: branca, folium\n",
      "Successfully installed branca-0.4.0 folium-0.10.1\n"
     ]
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     "text": [
      "WARNING: You are using pip version 19.3.1; however, version 20.0.2 is available.\n",
      "You should consider upgrading via the 'python -m pip install --upgrade pip' command.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Folium installed\n",
      "Libraries imported.\n"
     ]
    }
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   "source": [
    "import requests # library to handle requests\n",
    "import pandas as pd # library for data analsysis\n",
    "import numpy as np # library to handle data in a vectorized manner\n",
    "import random # library for random number generation\n",
    "\n",
    "!pip install geopy \n",
    "from geopy.geocoders import Nominatim # module to convert an address into latitude and longitude values\n",
    "\n",
    "# libraries for displaying images\n",
    "from IPython.display import Image \n",
    "from IPython.core.display import HTML \n",
    "    \n",
    "# tranforming json file into a pandas dataframe library\n",
    "from pandas.io.json import json_normalize\n",
    "\n",
    "!pip install folium\n",
    "import folium # plotting library\n",
    "\n",
    "print('Folium installed')\n",
    "print('Libraries imported.')"
   ]
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   "source": [
    "### Define Foursquare Credentials and Version"
   ]
  },
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   "source": [
    "##### Make sure that you have created a Foursquare developer account and have your credentials handy"
   ]
  },
  {
   "cell_type": "code",
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     "text": [
      "Your credentails:\n",
      "CLIENT_ID: SMK2Y0HXMLZF4VCSY50K533LTY1AWP1BMWZNVZOITBCYMLXM\n",
      "CLIENT_SECRET:UKXCIKHLIBRPMODA1K5KA50MPYWR01E0JVYWT0DC5GTL31XE\n"
     ]
    }
   ],
   "source": [
    "CLIENT_ID = 'SMK2Y0HXMLZF4VCSY50K533LTY1AWP1BMWZNVZOITBCYMLXM' # your Foursquare ID\n",
    "CLIENT_SECRET = 'UKXCIKHLIBRPMODA1K5KA50MPYWR01E0JVYWT0DC5GTL31XE' # your Foursquare Secret\n",
    "VERSION = '20180604'\n",
    "LIMIT = 30\n",
    "print('Your credentails:')\n",
    "print('CLIENT_ID: ' + CLIENT_ID)\n",
    "print('CLIENT_SECRET:' + CLIENT_SECRET)"
   ]
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    "  "
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   "source": [
    "#### Let's again assume that you are staying at the Conrad hotel. So let's start by converting the Contrad Hotel's address to its latitude and longitude coordinates."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In order to define an instance of the geocoder, we need to define a user_agent. We will name our agent <em>foursquare_agent</em>, as shown below."
   ]
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     "text": [
      "40.7149555 -74.0153365\n"
     ]
    }
   ],
   "source": [
    "address = '102 North End Ave, New York, NY'\n",
    "\n",
    "geolocator = Nominatim(user_agent=\"foursquare_agent\")\n",
    "location = geolocator.geocode(address)\n",
    "latitude = location.latitude\n",
    "longitude = location.longitude\n",
    "print(latitude, longitude)"
   ]
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    "   "
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   "source": [
    "<a id=\"item1\"></a>"
   ]
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   "source": [
    "## 1. Search for a specific venue category\n",
    "> `https://api.foursquare.com/v2/venues/`**search**`?client_id=`**CLIENT_ID**`&client_secret=`**CLIENT_SECRET**`&ll=`**LATITUDE**`,`**LONGITUDE**`&v=`**VERSION**`&query=`**QUERY**`&radius=`**RADIUS**`&limit=`**LIMIT**"
   ]
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   "source": [
    "#### Now, let's assume that it is lunch time, and you are craving Italian food. So, let's define a query to search for Italian food that is within 500 metres from the Conrad Hotel. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
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    "button": false,
    "new_sheet": false,
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     "text": [
      "Italian .... OK!\n"
     ]
    }
   ],
   "source": [
    "search_query = 'Italian'\n",
    "radius = 500\n",
    "print(search_query + ' .... OK!')"
   ]
  },
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   "source": [
    "#### Define the corresponding URL"
   ]
  },
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   "cell_type": "code",
   "execution_count": 7,
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    {
     "data": {
      "text/plain": [
       "'https://api.foursquare.com/v2/venues/search?client_id=SMK2Y0HXMLZF4VCSY50K533LTY1AWP1BMWZNVZOITBCYMLXM&client_secret=UKXCIKHLIBRPMODA1K5KA50MPYWR01E0JVYWT0DC5GTL31XE&ll=40.7149555,-74.0153365&v=20180604&query=Italian&radius=500&limit=30'"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "url = 'https://api.foursquare.com/v2/venues/search?client_id={}&client_secret={}&ll={},{}&v={}&query={}&radius={}&limit={}'.format(CLIENT_ID, CLIENT_SECRET, latitude, longitude, VERSION, search_query, radius, LIMIT)\n",
    "url"
   ]
  },
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   "metadata": {
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    "new_sheet": false,
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   },
   "source": [
    "#### Send the GET Request and examine the results"
   ]
  },
  {
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     "data": {
      "text/plain": [
       "{'meta': {'code': 200, 'requestId': '5e8cd7b8c94979001bd6fe00'},\n",
       " 'response': {'venues': [{'id': '4fa862b3e4b0ebff2f749f06',\n",
       "    'name': \"Harry's Italian Pizza Bar\",\n",
       "    'location': {'address': '225 Murray St',\n",
       "     'lat': 40.71521779064671,\n",
       "     'lng': -74.01473940209351,\n",
       "     'labeledLatLngs': [{'label': 'display',\n",
       "       'lat': 40.71521779064671,\n",
       "       'lng': -74.01473940209351},\n",
       "      {'label': '?', 'lat': 40.715361, 'lng': -74.014975}],\n",
       "     'distance': 58,\n",
       "     'postalCode': '10282',\n",
       "     'cc': 'US',\n",
       "     'city': 'New York',\n",
       "     'state': 'NY',\n",
       "     'country': 'United States',\n",
       "     'formattedAddress': ['225 Murray St',\n",
       "      'New York, NY 10282',\n",
       "      'United States']},\n",
       "    'categories': [{'id': '4bf58dd8d48988d1ca941735',\n",
       "      'name': 'Pizza Place',\n",
       "      'pluralName': 'Pizza Places',\n",
       "      'shortName': 'Pizza',\n",
       "      'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/food/pizza_',\n",
       "       'suffix': '.png'},\n",
       "      'primary': True}],\n",
       "    'delivery': {'id': '294544',\n",
       "     'url': 'https://www.seamless.com/menu/harrys-italian-pizza-bar-225-murray-st-new-york/294544?affiliate=1131&utm_source=foursquare-affiliate-network&utm_medium=affiliate&utm_campaign=1131&utm_content=294544',\n",
       "     'provider': {'name': 'seamless',\n",
       "      'icon': {'prefix': 'https://fastly.4sqi.net/img/general/cap/',\n",
       "       'sizes': [40, 50],\n",
       "       'name': '/delivery_provider_seamless_20180129.png'}}},\n",
       "    'referralId': 'v-1586288591',\n",
       "    'hasPerk': False},\n",
       "   {'id': '4f3232e219836c91c7bfde94',\n",
       "    'name': 'Conca Cucina Italian Restaurant',\n",
       "    'location': {'address': '63 W Broadway',\n",
       "     'lat': 40.714484000000006,\n",
       "     'lng': -74.00980600000001,\n",
       "     'labeledLatLngs': [{'label': 'display',\n",
       "       'lat': 40.714484000000006,\n",
       "       'lng': -74.00980600000001}],\n",
       "     'distance': 469,\n",
       "     'postalCode': '10007',\n",
       "     'cc': 'US',\n",
       "     'city': 'New York',\n",
       "     'state': 'NY',\n",
       "     'country': 'United States',\n",
       "     'formattedAddress': ['63 W Broadway',\n",
       "      'New York, NY 10007',\n",
       "      'United States']},\n",
       "    'categories': [{'id': '4d4b7105d754a06374d81259',\n",
       "      'name': 'Food',\n",
       "      'pluralName': 'Food',\n",
       "      'shortName': 'Food',\n",
       "      'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/food/default_',\n",
       "       'suffix': '.png'},\n",
       "      'primary': True}],\n",
       "    'referralId': 'v-1586288591',\n",
       "    'hasPerk': False},\n",
       "   {'id': '3fd66200f964a520f4e41ee3',\n",
       "    'name': 'Ecco',\n",
       "    'location': {'address': '124 Chambers St',\n",
       "     'crossStreet': 'btwn Church St & W Broadway',\n",
       "     'lat': 40.71533713859952,\n",
       "     'lng': -74.00884766217825,\n",
       "     'labeledLatLngs': [{'label': 'display',\n",
       "       'lat': 40.71533713859952,\n",
       "       'lng': -74.00884766217825},\n",
       "      {'label': '?', 'lat': 40.715202, 'lng': -74.008779}],\n",
       "     'distance': 549,\n",
       "     'postalCode': '10007',\n",
       "     'cc': 'US',\n",
       "     'city': 'New York',\n",
       "     'state': 'NY',\n",
       "     'country': 'United States',\n",
       "     'formattedAddress': ['124 Chambers St (btwn Church St & W Broadway)',\n",
       "      'New York, NY 10007',\n",
       "      'United States']},\n",
       "    'categories': [{'id': '4bf58dd8d48988d110941735',\n",
       "      'name': 'Italian Restaurant',\n",
       "      'pluralName': 'Italian Restaurants',\n",
       "      'shortName': 'Italian',\n",
       "      'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/food/italian_',\n",
       "       'suffix': '.png'},\n",
       "      'primary': True}],\n",
       "    'referralId': 'v-1586288591',\n",
       "    'hasPerk': False}]}}"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "results = requests.get(url).json()\n",
    "results"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "button": false,
    "new_sheet": false,
    "run_control": {
     "read_only": false
    }
   },
   "source": [
    "#### Get relevant part of JSON and transform it into a *pandas* dataframe"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "button": false,
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       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>name</th>\n",
       "      <th>categories</th>\n",
       "      <th>referralId</th>\n",
       "      <th>hasPerk</th>\n",
       "      <th>location.address</th>\n",
       "      <th>location.lat</th>\n",
       "      <th>location.lng</th>\n",
       "      <th>location.labeledLatLngs</th>\n",
       "      <th>location.distance</th>\n",
       "      <th>...</th>\n",
       "      <th>location.state</th>\n",
       "      <th>location.country</th>\n",
       "      <th>location.formattedAddress</th>\n",
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       "      <th>delivery.url</th>\n",
       "      <th>delivery.provider.name</th>\n",
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       "      <th>delivery.provider.icon.sizes</th>\n",
       "      <th>delivery.provider.icon.name</th>\n",
       "      <th>location.crossStreet</th>\n",
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       "  </thead>\n",
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       "      <th>0</th>\n",
       "      <td>4fa862b3e4b0ebff2f749f06</td>\n",
       "      <td>Harry's Italian Pizza Bar</td>\n",
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       "      <td>v-1586288591</td>\n",
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       "      <td>225 Murray St</td>\n",
       "      <td>40.715218</td>\n",
       "      <td>-74.014739</td>\n",
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       "      <td>58</td>\n",
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       "      <td>NY</td>\n",
       "      <td>United States</td>\n",
       "      <td>[225 Murray St, New York, NY 10282, United Sta...</td>\n",
       "      <td>294544</td>\n",
       "      <td>https://www.seamless.com/menu/harrys-italian-p...</td>\n",
       "      <td>seamless</td>\n",
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       "      <th>1</th>\n",
       "      <td>4f3232e219836c91c7bfde94</td>\n",
       "      <td>Conca Cucina Italian Restaurant</td>\n",
       "      <td>[{'id': '4d4b7105d754a06374d81259', 'name': 'F...</td>\n",
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       "      <td>NY</td>\n",
       "      <td>United States</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3fd66200f964a520f4e41ee3</td>\n",
       "      <td>Ecco</td>\n",
       "      <td>[{'id': '4bf58dd8d48988d110941735', 'name': 'I...</td>\n",
       "      <td>v-1586288591</td>\n",
       "      <td>False</td>\n",
       "      <td>124 Chambers St</td>\n",
       "      <td>40.715337</td>\n",
       "      <td>-74.008848</td>\n",
       "      <td>[{'label': 'display', 'lat': 40.71533713859952...</td>\n",
       "      <td>549</td>\n",
       "      <td>...</td>\n",
       "      <td>NY</td>\n",
       "      <td>United States</td>\n",
       "      <td>[124 Chambers St (btwn Church St &amp; W Broadway)...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>btwn Church St &amp; W Broadway</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3 rows × 23 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                         id                             name  \\\n",
       "0  4fa862b3e4b0ebff2f749f06        Harry's Italian Pizza Bar   \n",
       "1  4f3232e219836c91c7bfde94  Conca Cucina Italian Restaurant   \n",
       "2  3fd66200f964a520f4e41ee3                             Ecco   \n",
       "\n",
       "                                          categories    referralId  hasPerk  \\\n",
       "0  [{'id': '4bf58dd8d48988d1ca941735', 'name': 'P...  v-1586288591    False   \n",
       "1  [{'id': '4d4b7105d754a06374d81259', 'name': 'F...  v-1586288591    False   \n",
       "2  [{'id': '4bf58dd8d48988d110941735', 'name': 'I...  v-1586288591    False   \n",
       "\n",
       "  location.address  location.lat  location.lng  \\\n",
       "0    225 Murray St     40.715218    -74.014739   \n",
       "1    63 W Broadway     40.714484    -74.009806   \n",
       "2  124 Chambers St     40.715337    -74.008848   \n",
       "\n",
       "                             location.labeledLatLngs  location.distance  ...  \\\n",
       "0  [{'label': 'display', 'lat': 40.71521779064671...                 58  ...   \n",
       "1  [{'label': 'display', 'lat': 40.71448400000000...                469  ...   \n",
       "2  [{'label': 'display', 'lat': 40.71533713859952...                549  ...   \n",
       "\n",
       "  location.state location.country  \\\n",
       "0             NY    United States   \n",
       "1             NY    United States   \n",
       "2             NY    United States   \n",
       "\n",
       "                           location.formattedAddress delivery.id  \\\n",
       "0  [225 Murray St, New York, NY 10282, United Sta...      294544   \n",
       "1  [63 W Broadway, New York, NY 10007, United Sta...         NaN   \n",
       "2  [124 Chambers St (btwn Church St & W Broadway)...         NaN   \n",
       "\n",
       "                                        delivery.url delivery.provider.name  \\\n",
       "0  https://www.seamless.com/menu/harrys-italian-p...               seamless   \n",
       "1                                                NaN                    NaN   \n",
       "2                                                NaN                    NaN   \n",
       "\n",
       "              delivery.provider.icon.prefix delivery.provider.icon.sizes  \\\n",
       "0  https://fastly.4sqi.net/img/general/cap/                     [40, 50]   \n",
       "1                                       NaN                          NaN   \n",
       "2                                       NaN                          NaN   \n",
       "\n",
       "                delivery.provider.icon.name         location.crossStreet  \n",
       "0  /delivery_provider_seamless_20180129.png                          NaN  \n",
       "1                                       NaN                          NaN  \n",
       "2                                       NaN  btwn Church St & W Broadway  \n",
       "\n",
       "[3 rows x 23 columns]"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# assign relevant part of JSON to venues\n",
    "venues = results['response']['venues']\n",
    "\n",
    "# tranform venues into a dataframe\n",
    "dataframe = json_normalize(venues)\n",
    "dataframe.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "button": false,
    "new_sheet": false,
    "run_control": {
     "read_only": false
    }
   },
   "source": [
    "#### Define information of interest and filter dataframe"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "button": false,
    "new_sheet": false,
    "run_control": {
     "read_only": false
    },
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>name</th>\n",
       "      <th>categories</th>\n",
       "      <th>address</th>\n",
       "      <th>lat</th>\n",
       "      <th>lng</th>\n",
       "      <th>labeledLatLngs</th>\n",
       "      <th>distance</th>\n",
       "      <th>postalCode</th>\n",
       "      <th>cc</th>\n",
       "      <th>city</th>\n",
       "      <th>state</th>\n",
       "      <th>country</th>\n",
       "      <th>formattedAddress</th>\n",
       "      <th>crossStreet</th>\n",
       "      <th>id</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Harry's Italian Pizza Bar</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>225 Murray St</td>\n",
       "      <td>40.715218</td>\n",
       "      <td>-74.014739</td>\n",
       "      <td>[{'label': 'display', 'lat': 40.71521779064671...</td>\n",
       "      <td>58</td>\n",
       "      <td>10282</td>\n",
       "      <td>US</td>\n",
       "      <td>New York</td>\n",
       "      <td>NY</td>\n",
       "      <td>United States</td>\n",
       "      <td>[225 Murray St, New York, NY 10282, United Sta...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4fa862b3e4b0ebff2f749f06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Conca Cucina Italian Restaurant</td>\n",
       "      <td>Food</td>\n",
       "      <td>63 W Broadway</td>\n",
       "      <td>40.714484</td>\n",
       "      <td>-74.009806</td>\n",
       "      <td>[{'label': 'display', 'lat': 40.71448400000000...</td>\n",
       "      <td>469</td>\n",
       "      <td>10007</td>\n",
       "      <td>US</td>\n",
       "      <td>New York</td>\n",
       "      <td>NY</td>\n",
       "      <td>United States</td>\n",
       "      <td>[63 W Broadway, New York, NY 10007, United Sta...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4f3232e219836c91c7bfde94</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Ecco</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>124 Chambers St</td>\n",
       "      <td>40.715337</td>\n",
       "      <td>-74.008848</td>\n",
       "      <td>[{'label': 'display', 'lat': 40.71533713859952...</td>\n",
       "      <td>549</td>\n",
       "      <td>10007</td>\n",
       "      <td>US</td>\n",
       "      <td>New York</td>\n",
       "      <td>NY</td>\n",
       "      <td>United States</td>\n",
       "      <td>[124 Chambers St (btwn Church St &amp; W Broadway)...</td>\n",
       "      <td>btwn Church St &amp; W Broadway</td>\n",
       "      <td>3fd66200f964a520f4e41ee3</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                              name          categories          address  \\\n",
       "0        Harry's Italian Pizza Bar         Pizza Place    225 Murray St   \n",
       "1  Conca Cucina Italian Restaurant                Food    63 W Broadway   \n",
       "2                             Ecco  Italian Restaurant  124 Chambers St   \n",
       "\n",
       "         lat        lng                                     labeledLatLngs  \\\n",
       "0  40.715218 -74.014739  [{'label': 'display', 'lat': 40.71521779064671...   \n",
       "1  40.714484 -74.009806  [{'label': 'display', 'lat': 40.71448400000000...   \n",
       "2  40.715337 -74.008848  [{'label': 'display', 'lat': 40.71533713859952...   \n",
       "\n",
       "   distance postalCode  cc      city state        country  \\\n",
       "0        58      10282  US  New York    NY  United States   \n",
       "1       469      10007  US  New York    NY  United States   \n",
       "2       549      10007  US  New York    NY  United States   \n",
       "\n",
       "                                    formattedAddress  \\\n",
       "0  [225 Murray St, New York, NY 10282, United Sta...   \n",
       "1  [63 W Broadway, New York, NY 10007, United Sta...   \n",
       "2  [124 Chambers St (btwn Church St & W Broadway)...   \n",
       "\n",
       "                   crossStreet                        id  \n",
       "0                          NaN  4fa862b3e4b0ebff2f749f06  \n",
       "1                          NaN  4f3232e219836c91c7bfde94  \n",
       "2  btwn Church St & W Broadway  3fd66200f964a520f4e41ee3  "
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# keep only columns that include venue name, and anything that is associated with location\n",
    "filtered_columns = ['name', 'categories'] + [col for col in dataframe.columns if col.startswith('location.')] + ['id']\n",
    "dataframe_filtered = dataframe.loc[:, filtered_columns]\n",
    "\n",
    "# function that extracts the category of the venue\n",
    "def get_category_type(row):\n",
    "    try:\n",
    "        categories_list = row['categories']\n",
    "    except:\n",
    "        categories_list = row['venue.categories']\n",
    "        \n",
    "    if len(categories_list) == 0:\n",
    "        return None\n",
    "    else:\n",
    "        return categories_list[0]['name']\n",
    "\n",
    "# filter the category for each row\n",
    "dataframe_filtered['categories'] = dataframe_filtered.apply(get_category_type, axis=1)\n",
    "\n",
    "# clean column names by keeping only last term\n",
    "dataframe_filtered.columns = [column.split('.')[-1] for column in dataframe_filtered.columns]\n",
    "\n",
    "dataframe_filtered"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "button": false,
    "new_sheet": false,
    "run_control": {
     "read_only": false
    }
   },
   "source": [
    "#### Let's visualize the Italian restaurants that are nearby"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "button": false,
    "new_sheet": false,
    "run_control": {
     "read_only": false
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0          Harry's Italian Pizza Bar\n",
       "1    Conca Cucina Italian Restaurant\n",
       "2                               Ecco\n",
       "Name: name, dtype: object"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dataframe_filtered.name"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "button": false,
    "new_sheet": false,
    "run_control": {
     "read_only": false
    },
    "scrolled": false
   },
   "outputs": [
    {
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      "text/plain": [
       "<folium.folium.Map at 0x1d382840eb8>"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "venues_map = folium.Map(location=[latitude, longitude], zoom_start=13) # generate map centred around the Conrad Hotel\n",
    "\n",
    "# add a red circle marker to represent the Conrad Hotel\n",
    "folium.vector_layers.CircleMarker(\n",
    "    [latitude, longitude],\n",
    "    radius=10,\n",
    "    color='red',\n",
    "    popup='Conrad Hotel',\n",
    "    fill = True,\n",
    "    fill_color = 'red',\n",
    "    fill_opacity = 0.6\n",
    ").add_to(venues_map)\n",
    "\n",
    "# add the Italian restaurants as blue circle markers\n",
    "for lat, lng, label in zip(dataframe_filtered.lat, dataframe_filtered.lng, dataframe_filtered.categories):\n",
    "    folium.vector_layers.CircleMarker(\n",
    "        [lat, lng],\n",
    "        radius=5,\n",
    "        color='blue',\n",
    "        popup=label,\n",
    "        fill = True,\n",
    "        fill_color='blue',\n",
    "        fill_opacity=0.6\n",
    "    ).add_to(venues_map)\n",
    "\n",
    "# display map\n",
    "venues_map"
   ]
  },
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   "cell_type": "markdown",
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    "new_sheet": false,
    "run_control": {
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    "   "
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  },
  {
   "cell_type": "markdown",
   "metadata": {
    "button": false,
    "new_sheet": false,
    "run_control": {
     "read_only": false
    }
   },
   "source": [
    "<a id=\"item2\"></a>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "button": false,
    "new_sheet": false,
    "run_control": {
     "read_only": false
    }
   },
   "source": [
    "## 2. Explore a Given Venue\n",
    "> `https://api.foursquare.com/v2/venues/`**VENUE_ID**`?client_id=`**CLIENT_ID**`&client_secret=`**CLIENT_SECRET**`&v=`**VERSION**"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "button": false,
    "new_sheet": false,
    "run_control": {
     "read_only": false
    }
   },
   "source": [
    "### A. Let's explore the closest Italian restaurant -- _Harry's Italian Pizza Bar_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "button": false,
    "new_sheet": false,
    "run_control": {
     "read_only": false
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'https://api.foursquare.com/v2/venues/4fa862b3e4b0ebff2f749f06?client_id=SMK2Y0HXMLZF4VCSY50K533LTY1AWP1BMWZNVZOITBCYMLXM&client_secret=UKXCIKHLIBRPMODA1K5KA50MPYWR01E0JVYWT0DC5GTL31XE&v=20180604'"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "venue_id = '4fa862b3e4b0ebff2f749f06' # ID of Harry's Italian Pizza Bar\n",
    "url = 'https://api.foursquare.com/v2/venues/{}?client_id={}&client_secret={}&v={}'.format(venue_id, CLIENT_ID, CLIENT_SECRET, VERSION)\n",
    "url"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "button": false,
    "new_sheet": false,
    "run_control": {
     "read_only": false
    }
   },
   "source": [
    "#### Send GET request for result"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "button": false,
    "new_sheet": false,
    "run_control": {
     "read_only": false
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "dict_keys(['id', 'name', 'contact', 'location', 'canonicalUrl', 'categories', 'verified', 'stats', 'url', 'price', 'hasMenu', 'likes', 'dislike', 'ok', 'rating', 'ratingColor', 'ratingSignals', 'delivery', 'menu', 'allowMenuUrlEdit', 'beenHere', 'specials', 'photos', 'reasons', 'hereNow', 'createdAt', 'tips', 'shortUrl', 'timeZone', 'listed', 'hours', 'popular', 'seasonalHours', 'defaultHours', 'pageUpdates', 'inbox', 'attributes', 'bestPhoto', 'colors'])\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "{'id': '4fa862b3e4b0ebff2f749f06',\n",
       " 'name': \"Harry's Italian Pizza Bar\",\n",
       " 'contact': {'phone': '2126081007', 'formattedPhone': '(212) 608-1007'},\n",
       " 'location': {'address': '225 Murray St',\n",
       "  'lat': 40.71521779064671,\n",
       "  'lng': -74.01473940209351,\n",
       "  'labeledLatLngs': [{'label': 'display',\n",
       "    'lat': 40.71521779064671,\n",
       "    'lng': -74.01473940209351},\n",
       "   {'label': '?', 'lat': 40.715361, 'lng': -74.014975}],\n",
       "  'postalCode': '10282',\n",
       "  'cc': 'US',\n",
       "  'city': 'New York',\n",
       "  'state': 'NY',\n",
       "  'country': 'United States',\n",
       "  'formattedAddress': ['225 Murray St',\n",
       "   'New York, NY 10282',\n",
       "   'United States']},\n",
       " 'canonicalUrl': 'https://foursquare.com/v/harrys-italian-pizza-bar/4fa862b3e4b0ebff2f749f06',\n",
       " 'categories': [{'id': '4bf58dd8d48988d1ca941735',\n",
       "   'name': 'Pizza Place',\n",
       "   'pluralName': 'Pizza Places',\n",
       "   'shortName': 'Pizza',\n",
       "   'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/food/pizza_',\n",
       "    'suffix': '.png'},\n",
       "   'primary': True},\n",
       "  {'id': '4bf58dd8d48988d110941735',\n",
       "   'name': 'Italian Restaurant',\n",
       "   'pluralName': 'Italian Restaurants',\n",
       "   'shortName': 'Italian',\n",
       "   'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/food/italian_',\n",
       "    'suffix': '.png'}}],\n",
       " 'verified': False,\n",
       " 'stats': {'tipCount': 57},\n",
       " 'url': 'http://harrysitalian.com',\n",
       " 'price': {'tier': 2, 'message': 'Moderate', 'currency': '$'},\n",
       " 'hasMenu': True,\n",
       " 'likes': {'count': 120,\n",
       "  'groups': [{'type': 'others', 'count': 120, 'items': []}],\n",
       "  'summary': '120 Likes'},\n",
       " 'dislike': False,\n",
       " 'ok': False,\n",
       " 'rating': 7.0,\n",
       " 'ratingColor': 'C5DE35',\n",
       " 'ratingSignals': 212,\n",
       " 'delivery': {'id': '294544',\n",
       "  'url': 'https://www.seamless.com/menu/harrys-italian-pizza-bar-225-murray-st-new-york/294544?affiliate=1131&utm_source=foursquare-affiliate-network&utm_medium=affiliate&utm_campaign=1131&utm_content=294544',\n",
       "  'provider': {'name': 'seamless',\n",
       "   'icon': {'prefix': 'https://fastly.4sqi.net/img/general/cap/',\n",
       "    'sizes': [40, 50],\n",
       "    'name': '/delivery_provider_seamless_20180129.png'}}},\n",
       " 'menu': {'type': 'Menu',\n",
       "  'label': 'Menu',\n",
       "  'anchor': 'View Menu',\n",
       "  'url': 'https://foursquare.com/v/harrys-italian-pizza-bar/4fa862b3e4b0ebff2f749f06/menu',\n",
       "  'mobileUrl': 'https://foursquare.com/v/4fa862b3e4b0ebff2f749f06/device_menu'},\n",
       " 'allowMenuUrlEdit': True,\n",
       " 'beenHere': {'count': 0,\n",
       "  'unconfirmedCount': 0,\n",
       "  'marked': False,\n",
       "  'lastCheckinExpiredAt': 0},\n",
       " 'specials': {'count': 0, 'items': []},\n",
       " 'photos': {'count': 147,\n",
       "  'groups': [{'type': 'venue',\n",
       "    'name': 'Venue photos',\n",
       "    'count': 147,\n",
       "    'items': [{'id': '4fad980de4b091b4626c3633',\n",
       "      'createdAt': 1336776717,\n",
       "      'source': {'name': 'Foursquare for Android',\n",
       "       'url': 'https://foursquare.com/download/#/android'},\n",
       "      'prefix': 'https://fastly.4sqi.net/img/general/',\n",
       "      'suffix': '/ya1iQFI7pLjuIJp1PGDKlrZS3OJdHCF7tpILMmjv_2w.jpg',\n",
       "      'width': 480,\n",
       "      'height': 640,\n",
       "      'user': {'id': '13676709',\n",
       "       'firstName': 'Leony',\n",
       "       'lastName': 'N',\n",
       "       'photo': {'prefix': 'https://fastly.4sqi.net/img/user/',\n",
       "        'suffix': '/T0ANFNGNMCHUDEUE.jpg'}},\n",
       "      'visibility': 'public'}]}]},\n",
       " 'reasons': {'count': 1,\n",
       "  'items': [{'summary': 'Lots of people like this place',\n",
       "    'type': 'general',\n",
       "    'reasonName': 'rawLikesReason'}]},\n",
       " 'hereNow': {'count': 0, 'summary': 'Nobody here', 'groups': []},\n",
       " 'createdAt': 1336435379,\n",
       " 'tips': {'count': 57,\n",
       "  'groups': [{'type': 'others',\n",
       "    'name': 'All tips',\n",
       "    'count': 57,\n",
       "    'items': [{'id': '53d27909498e0523841340b6',\n",
       "      'createdAt': 1406302473,\n",
       "      'text': \"Harry's Italian Pizza bar is known for it's amazing pizza, but did you know that the brunches here are amazing too? Try the Nutella French toast and we know you'll be sold.\",\n",
       "      'type': 'user',\n",
       "      'canonicalUrl': 'https://foursquare.com/item/53d27909498e0523841340b6',\n",
       "      'lang': 'en',\n",
       "      'likes': {'count': 4,\n",
       "       'groups': [{'type': 'others',\n",
       "         'count': 4,\n",
       "         'items': [{'id': '369426',\n",
       "           'firstName': 'P.',\n",
       "           'lastName': 'M',\n",
       "           'photo': {'prefix': 'https://fastly.4sqi.net/img/user/',\n",
       "            'suffix': '/JPQYUWJKUT0H2OO4.jpg'}},\n",
       "          {'id': '87587879',\n",
       "           'firstName': 'Diane',\n",
       "           'lastName': 'D',\n",
       "           'photo': {'prefix': 'https://fastly.4sqi.net/img/user/',\n",
       "            'suffix': '/87587879-ESLRSZLQ2CBE2P4W.jpg'}},\n",
       "          {'id': '87591341',\n",
       "           'firstName': 'Tim',\n",
       "           'lastName': 'S',\n",
       "           'photo': {'prefix': 'https://fastly.4sqi.net/img/user/',\n",
       "            'suffix': '/-Z4YK4VKE0JSVXIY1.jpg'}},\n",
       "          {'id': '87473404',\n",
       "           'firstName': 'TenantKing.com',\n",
       "           'photo': {'prefix': 'https://fastly.4sqi.net/img/user/',\n",
       "            'suffix': '/87473404-HI5DTBTK0HX401CA.png'},\n",
       "           'type': 'page'}]}],\n",
       "       'summary': '4 likes'},\n",
       "      'logView': True,\n",
       "      'agreeCount': 4,\n",
       "      'disagreeCount': 0,\n",
       "      'todo': {'count': 0},\n",
       "      'user': {'id': '87473404',\n",
       "       'firstName': 'TenantKing.com',\n",
       "       'photo': {'prefix': 'https://fastly.4sqi.net/img/user/',\n",
       "        'suffix': '/87473404-HI5DTBTK0HX401CA.png'},\n",
       "       'type': 'page'}}]}]},\n",
       " 'shortUrl': 'http://4sq.com/JNblHV',\n",
       " 'timeZone': 'America/New_York',\n",
       " 'listed': {'count': 54,\n",
       "  'groups': [{'type': 'others',\n",
       "    'name': 'Lists from other people',\n",
       "    'count': 54,\n",
       "    'items': [{'id': '4fa32fd0e4b04193744746b1',\n",
       "      'name': 'Manhattan Haunts',\n",
       "      'description': '',\n",
       "      'type': 'others',\n",
       "      'user': {'id': '24592223',\n",
       "       'firstName': 'Becca',\n",
       "       'lastName': 'M',\n",
       "       'photo': {'prefix': 'https://fastly.4sqi.net/img/user/',\n",
       "        'suffix': '/24592223-RAW2UYM0GIB1U40K.jpg'}},\n",
       "      'editable': False,\n",
       "      'public': True,\n",
       "      'collaborative': False,\n",
       "      'url': '/becca_mcarthur/list/manhattan-haunts',\n",
       "      'canonicalUrl': 'https://foursquare.com/becca_mcarthur/list/manhattan-haunts',\n",
       "      'createdAt': 1336094672,\n",
       "      'updatedAt': 1380845377,\n",
       "      'photo': {'id': '4e8cc9461081e3b3544e12e5',\n",
       "       'createdAt': 1317849414,\n",
       "       'prefix': 'https://fastly.4sqi.net/img/general/',\n",
       "       'suffix': '/0NLVU2HC1JF4DXIMKWUFW3QBUT31DC11EFNYYHMJG3NDWAPS.jpg',\n",
       "       'width': 492,\n",
       "       'height': 330,\n",
       "       'user': {'id': '742542',\n",
       "        'firstName': 'Time Out New York',\n",
       "        'photo': {'prefix': 'https://fastly.4sqi.net/img/user/',\n",
       "         'suffix': '/XXHKCBSQHBORZNSR.jpg'},\n",
       "        'type': 'page'},\n",
       "       'visibility': 'public'},\n",
       "      'followers': {'count': 22},\n",
       "      'listItems': {'count': 187,\n",
       "       'items': [{'id': 'v4fa862b3e4b0ebff2f749f06',\n",
       "         'createdAt': 1342934485}]}},\n",
       "     {'id': '4fae817be4b085f6b2a74d19',\n",
       "      'name': 'USA NYC MAN FiDi',\n",
       "      'description': 'Where to go for decent eats in the restaurant wasteland of Downtown NYC aka FiDi, along with Tribeca & Battery Park City.',\n",
       "      'type': 'others',\n",
       "      'user': {'id': '12113441',\n",
       "       'firstName': 'Kino',\n",
       "       'photo': {'prefix': 'https://fastly.4sqi.net/img/user/',\n",
       "        'suffix': '/12113441-K5HTHFLU2MUCM0CM.jpg'}},\n",
       "      'editable': False,\n",
       "      'public': True,\n",
       "      'collaborative': False,\n",
       "      'url': '/kinosfault/list/usa-nyc-man-fidi',\n",
       "      'canonicalUrl': 'https://foursquare.com/kinosfault/list/usa-nyc-man-fidi',\n",
       "      'createdAt': 1336836475,\n",
       "      'updatedAt': 1556754919,\n",
       "      'photo': {'id': '55984992498e13ba75e353bb',\n",
       "       'createdAt': 1436043666,\n",
       "       'prefix': 'https://fastly.4sqi.net/img/general/',\n",
       "       'suffix': '/12113441_iOa6Uh-Xi8bhj2-gpzkkw8MKiAIs7RmOcz_RM7m8ink.jpg',\n",
       "       'width': 540,\n",
       "       'height': 960,\n",
       "       'user': {'id': '12113441',\n",
       "        'firstName': 'Kino',\n",
       "        'photo': {'prefix': 'https://fastly.4sqi.net/img/user/',\n",
       "         'suffix': '/12113441-K5HTHFLU2MUCM0CM.jpg'}},\n",
       "       'visibility': 'public'},\n",
       "      'followers': {'count': 20},\n",
       "      'listItems': {'count': 273,\n",
       "       'items': [{'id': 'v4fa862b3e4b0ebff2f749f06',\n",
       "         'createdAt': 1373909433}]}},\n",
       "     {'id': '4fddeff0e4b0e078037ac0d3',\n",
       "      'name': 'NYC Resturants',\n",
       "      'description': '',\n",
       "      'type': 'others',\n",
       "      'user': {'id': '21563126',\n",
       "       'firstName': 'Richard',\n",
       "       'lastName': 'R',\n",
       "       'photo': {'prefix': 'https://fastly.4sqi.net/img/user/',\n",
       "        'suffix': '/21563126_v05J1KPw_SVj6Ehq9g8B9jeAGjFUMsU5QGl-NZ8inUQ7pKQm5bKplW37EmR7jS2A7GYPBBAtl.jpg'}},\n",
       "      'editable': False,\n",
       "      'public': True,\n",
       "      'collaborative': True,\n",
       "      'url': '/rickr7/list/nyc-resturants',\n",
       "      'canonicalUrl': 'https://foursquare.com/rickr7/list/nyc-resturants',\n",
       "      'createdAt': 1339944944,\n",
       "      'updatedAt': 1582232663,\n",
       "      'photo': {'id': '5072dd13e4b09145cdf782d1',\n",
       "       'createdAt': 1349704979,\n",
       "       'prefix': 'https://fastly.4sqi.net/img/general/',\n",
       "       'suffix': '/208205_fGh2OuAZ9qJ4agbAA5wMVNOSIm9kNUlRtNwj1N-adqg.jpg',\n",
       "       'width': 800,\n",
       "       'height': 800,\n",
       "       'user': {'id': '208205',\n",
       "        'firstName': 'Thalia',\n",
       "        'lastName': 'K',\n",
       "        'photo': {'prefix': 'https://fastly.4sqi.net/img/user/',\n",
       "         'suffix': '/SNOOLCAW2AG04ZKD.jpg'}},\n",
       "       'visibility': 'public'},\n",
       "      'followers': {'count': 12},\n",
       "      'listItems': {'count': 194,\n",
       "       'items': [{'id': 'v4fa862b3e4b0ebff2f749f06',\n",
       "         'createdAt': 1581655865}]}},\n",
       "     {'id': '5266c68a498e7c667807fe09',\n",
       "      'name': 'Foodie Love in NY - 02',\n",
       "      'description': '',\n",
       "      'type': 'others',\n",
       "      'user': {'id': '547977',\n",
       "       'firstName': 'WiLL',\n",
       "       'photo': {'prefix': 'https://fastly.4sqi.net/img/user/',\n",
       "        'suffix': '/-Q5NYGDMFDMOITQRR.jpg'}},\n",
       "      'editable': False,\n",
       "      'public': True,\n",
       "      'collaborative': False,\n",
       "      'url': '/sweetiewill/list/foodie-love-in-ny--02',\n",
       "      'canonicalUrl': 'https://foursquare.com/sweetiewill/list/foodie-love-in-ny--02',\n",
       "      'createdAt': 1382467210,\n",
       "      'updatedAt': 1391995585,\n",
       "      'followers': {'count': 7},\n",
       "      'listItems': {'count': 200,\n",
       "       'items': [{'id': 'v4fa862b3e4b0ebff2f749f06',\n",
       "         'createdAt': 1386809936}]}}]}]},\n",
       " 'hours': {'status': 'Open until 11:00 PM',\n",
       "  'richStatus': {'entities': [], 'text': 'Open until 11:00 PM'},\n",
       "  'isOpen': True,\n",
       "  'isLocalHoliday': False,\n",
       "  'dayData': [],\n",
       "  'timeframes': [{'days': 'Mon–Wed, Sun',\n",
       "    'includesToday': True,\n",
       "    'open': [{'renderedTime': '11:30 AM–11:00 PM'}],\n",
       "    'segments': []},\n",
       "   {'days': 'Thu–Sat',\n",
       "    'open': [{'renderedTime': '11:30 AM–Midnight'}],\n",
       "    'segments': []}]},\n",
       " 'popular': {'isOpen': False,\n",
       "  'isLocalHoliday': False,\n",
       "  'timeframes': [{'days': 'Today',\n",
       "    'includesToday': True,\n",
       "    'open': [{'renderedTime': 'Noon–2:00 PM'},\n",
       "     {'renderedTime': '5:00 PM–10:00 PM'}],\n",
       "    'segments': []},\n",
       "   {'days': 'Wed–Thu',\n",
       "    'open': [{'renderedTime': 'Noon–2:00 PM'},\n",
       "     {'renderedTime': '5:00 PM–10:00 PM'}],\n",
       "    'segments': []},\n",
       "   {'days': 'Fri',\n",
       "    'open': [{'renderedTime': 'Noon–3:00 PM'},\n",
       "     {'renderedTime': '5:00 PM–11:00 PM'}],\n",
       "    'segments': []},\n",
       "   {'days': 'Sat',\n",
       "    'open': [{'renderedTime': 'Noon–11:00 PM'}],\n",
       "    'segments': []},\n",
       "   {'days': 'Sun',\n",
       "    'open': [{'renderedTime': 'Noon–3:00 PM'},\n",
       "     {'renderedTime': '5:00 PM–8:00 PM'}],\n",
       "    'segments': []},\n",
       "   {'days': 'Mon',\n",
       "    'open': [{'renderedTime': 'Noon–2:00 PM'},\n",
       "     {'renderedTime': '6:00 PM–8:00 PM'}],\n",
       "    'segments': []}]},\n",
       " 'seasonalHours': [],\n",
       " 'defaultHours': {'status': 'Open until 11:00 PM',\n",
       "  'richStatus': {'entities': [], 'text': 'Open until 11:00 PM'},\n",
       "  'isOpen': True,\n",
       "  'isLocalHoliday': False,\n",
       "  'dayData': [],\n",
       "  'timeframes': [{'days': 'Mon–Wed, Sun',\n",
       "    'includesToday': True,\n",
       "    'open': [{'renderedTime': '11:30 AM–11:00 PM'}],\n",
       "    'segments': []},\n",
       "   {'days': 'Thu–Sat',\n",
       "    'open': [{'renderedTime': '11:30 AM–Midnight'}],\n",
       "    'segments': []}]},\n",
       " 'pageUpdates': {'count': 0, 'items': []},\n",
       " 'inbox': {'count': 0, 'items': []},\n",
       " 'attributes': {'groups': [{'type': 'price',\n",
       "    'name': 'Price',\n",
       "    'summary': '$$',\n",
       "    'count': 1,\n",
       "    'items': [{'displayName': 'Price', 'displayValue': '$$', 'priceTier': 2}]},\n",
       "   {'type': 'payments',\n",
       "    'name': 'Credit Cards',\n",
       "    'summary': 'Credit Cards',\n",
       "    'count': 7,\n",
       "    'items': [{'displayName': 'Credit Cards',\n",
       "      'displayValue': 'Yes (incl. American Express)'}]},\n",
       "   {'type': 'outdoorSeating',\n",
       "    'name': 'Outdoor Seating',\n",
       "    'summary': 'Outdoor Seating',\n",
       "    'count': 1,\n",
       "    'items': [{'displayName': 'Outdoor Seating', 'displayValue': 'Yes'}]},\n",
       "   {'type': 'serves',\n",
       "    'name': 'Menus',\n",
       "    'summary': 'Happy Hour, Brunch & more',\n",
       "    'count': 8,\n",
       "    'items': [{'displayName': 'Brunch', 'displayValue': 'Brunch'},\n",
       "     {'displayName': 'Lunch', 'displayValue': 'Lunch'},\n",
       "     {'displayName': 'Dinner', 'displayValue': 'Dinner'},\n",
       "     {'displayName': 'Happy Hour', 'displayValue': 'Happy Hour'}]},\n",
       "   {'type': 'drinks',\n",
       "    'name': 'Drinks',\n",
       "    'summary': 'Beer, Wine & Cocktails',\n",
       "    'count': 5,\n",
       "    'items': [{'displayName': 'Beer', 'displayValue': 'Beer'},\n",
       "     {'displayName': 'Wine', 'displayValue': 'Wine'},\n",
       "     {'displayName': 'Cocktails', 'displayValue': 'Cocktails'}]},\n",
       "   {'type': 'diningOptions',\n",
       "    'name': 'Dining Options',\n",
       "    'summary': 'Delivery',\n",
       "    'count': 5,\n",
       "    'items': [{'displayName': 'Delivery', 'displayValue': 'Delivery'}]}]},\n",
       " 'bestPhoto': {'id': '4fad980de4b091b4626c3633',\n",
       "  'createdAt': 1336776717,\n",
       "  'source': {'name': 'Foursquare for Android',\n",
       "   'url': 'https://foursquare.com/download/#/android'},\n",
       "  'prefix': 'https://fastly.4sqi.net/img/general/',\n",
       "  'suffix': '/ya1iQFI7pLjuIJp1PGDKlrZS3OJdHCF7tpILMmjv_2w.jpg',\n",
       "  'width': 480,\n",
       "  'height': 640,\n",
       "  'visibility': 'public'},\n",
       " 'colors': {'highlightColor': {'photoId': '4fad980de4b091b4626c3633',\n",
       "   'value': -13619152},\n",
       "  'highlightTextColor': {'photoId': '4fad980de4b091b4626c3633', 'value': -1},\n",
       "  'algoVersion': 3}}"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "result = requests.get(url).json()\n",
    "print(result['response']['venue'].keys())\n",
    "result['response']['venue']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "button": false,
    "new_sheet": false,
    "run_control": {
     "read_only": false
    }
   },
   "source": [
    "### B. Get the venue's overall rating"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "button": false,
    "new_sheet": false,
    "run_control": {
     "read_only": false
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "7.0\n"
     ]
    }
   ],
   "source": [
    "try:\n",
    "    print(result['response']['venue']['rating'])\n",
    "except:\n",
    "    print('This venue has not been rated yet.')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "button": false,
    "new_sheet": false,
    "run_control": {
     "read_only": false
    }
   },
   "source": [
    "That is not a very good rating. Let's check the rating of the second closest Italian restaurant."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "button": false,
    "new_sheet": false,
    "run_control": {
     "read_only": false
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "This venue has not been rated yet.\n"
     ]
    }
   ],
   "source": [
    "venue_id = '4f3232e219836c91c7bfde94' # ID of Conca Cucina Italian Restaurant\n",
    "url = 'https://api.foursquare.com/v2/venues/{}?client_id={}&client_secret={}&v={}'.format(venue_id, CLIENT_ID, CLIENT_SECRET, VERSION)\n",
    "\n",
    "result = requests.get(url).json()\n",
    "try:\n",
    "    print(result['response']['venue']['rating'])\n",
    "except:\n",
    "    print('This venue has not been rated yet.')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "button": false,
    "new_sheet": false,
    "run_control": {
     "read_only": false
    }
   },
   "source": [
    "Since this restaurant has no ratings, let's check the third restaurant."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "button": false,
    "new_sheet": false,
    "run_control": {
     "read_only": false
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "7.4\n"
     ]
    }
   ],
   "source": [
    "venue_id = '3fd66200f964a520f4e41ee3' # ID of Ecco\n",
    "url = 'https://api.foursquare.com/v2/venues/{}?client_id={}&client_secret={}&v={}'.format(venue_id, CLIENT_ID, CLIENT_SECRET, VERSION)\n",
    "\n",
    "result = requests.get(url).json()\n",
    "try:\n",
    "    print(result['response']['venue']['rating'])\n",
    "except:\n",
    "    print('This venue has not been rated yet.')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "button": false,
    "new_sheet": false,
    "run_control": {
     "read_only": false
    }
   },
   "source": [
    "Since this restaurant has a slightly better rating, let's explore it further."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "button": false,
    "new_sheet": false,
    "run_control": {
     "read_only": false
    }
   },
   "source": [
    "### C. Get the number of tips"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "button": false,
    "new_sheet": false,
    "run_control": {
     "read_only": false
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "19"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "result['response']['venue']['tips']['count']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "button": false,
    "new_sheet": false,
    "run_control": {
     "read_only": false
    }
   },
   "source": [
    "### D. Get the venue's tips\n",
    "> `https://api.foursquare.com/v2/venues/`**VENUE_ID**`/tips?client_id=`**CLIENT_ID**`&client_secret=`**CLIENT_SECRET**`&v=`**VERSION**`&limit=`**LIMIT**"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "button": false,
    "new_sheet": false,
    "run_control": {
     "read_only": false
    }
   },
   "source": [
    "#### Create URL and send GET request. Make sure to set limit to get all tips"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "button": false,
    "new_sheet": false,
    "run_control": {
     "read_only": false
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'meta': {'code': 200, 'requestId': '5e8cd846c94979001bd863aa'},\n",
       " 'response': {'tips': {'count': 19,\n",
       "   'items': [{'id': '5ab1cb46c9a517174651d3fe',\n",
       "     'createdAt': 1521601350,\n",
       "     'text': 'A+ Italian food! Trust me on this: my mom’s side of the family is 100% Italian. I was born and bred to know good pasta when I see it, and Ecco is one of my all-time NYC favorites',\n",
       "     'type': 'user',\n",
       "     'canonicalUrl': 'https://foursquare.com/item/5ab1cb46c9a517174651d3fe',\n",
       "     'lang': 'en',\n",
       "     'likes': {'count': 0, 'groups': []},\n",
       "     'logView': True,\n",
       "     'agreeCount': 4,\n",
       "     'disagreeCount': 0,\n",
       "     'todo': {'count': 0},\n",
       "     'user': {'id': '484542633',\n",
       "      'firstName': 'Nick',\n",
       "      'lastName': 'E',\n",
       "      'photo': {'prefix': 'https://fastly.4sqi.net/img/user/',\n",
       "       'suffix': '/484542633_unymNUmw_FdPs3GjXHujmHcYnN4hf8kEPADlOZuIrdcdm97VX3tFqL7fFNMNA_8Gl9NlU1GYg.jpg'}},\n",
       "     'authorInteractionType': 'liked'}]}}}"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "## Ecco Tips\n",
    "limit = 15 # set limit to be greater than or equal to the total number of tips\n",
    "url = 'https://api.foursquare.com/v2/venues/{}/tips?client_id={}&client_secret={}&v={}&limit={}'.format(venue_id, CLIENT_ID, CLIENT_SECRET, VERSION, limit)\n",
    "\n",
    "results = requests.get(url).json()\n",
    "results"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "button": false,
    "new_sheet": false,
    "run_control": {
     "read_only": false
    }
   },
   "source": [
    "#### Get tips and list of associated features"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "button": false,
    "new_sheet": false,
    "run_control": {
     "read_only": false
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dict_keys(['id', 'createdAt', 'text', 'type', 'canonicalUrl', 'lang', 'likes', 'logView', 'agreeCount', 'disagreeCount', 'todo', 'user', 'authorInteractionType'])"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tips = results['response']['tips']['items']\n",
    "\n",
    "tip = results['response']['tips']['items'][0]\n",
    "tip.keys()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "button": false,
    "new_sheet": false,
    "run_control": {
     "read_only": false
    }
   },
   "source": [
    "#### Format column width and display all tips"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "button": false,
    "new_sheet": false,
    "run_control": {
     "read_only": false
    },
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "c:\\python37\\lib\\site-packages\\pandas\\core\\indexing.py:1418: FutureWarning: \n",
      "Passing list-likes to .loc or [] with any missing label will raise\n",
      "KeyError in the future, you can use .reindex() as an alternative.\n",
      "\n",
      "See the documentation here:\n",
      "https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#deprecate-loc-reindex-listlike\n",
      "  return self._getitem_tuple(key)\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>text</th>\n",
       "      <th>agreeCount</th>\n",
       "      <th>disagreeCount</th>\n",
       "      <th>id</th>\n",
       "      <th>user.firstName</th>\n",
       "      <th>user.lastName</th>\n",
       "      <th>user.gender</th>\n",
       "      <th>user.id</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>A+ Italian food! Trust me on this: my mom’s side of the family is 100% Italian. I was born and bred to know good pasta when I see it, and Ecco is one of my all-time NYC favorites</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>5ab1cb46c9a517174651d3fe</td>\n",
       "      <td>Nick</td>\n",
       "      <td>E</td>\n",
       "      <td>NaN</td>\n",
       "      <td>484542633</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                                                                                                                                                 text  \\\n",
       "0  A+ Italian food! Trust me on this: my mom’s side of the family is 100% Italian. I was born and bred to know good pasta when I see it, and Ecco is one of my all-time NYC favorites   \n",
       "\n",
       "   agreeCount  disagreeCount                        id user.firstName  \\\n",
       "0  4           0              5ab1cb46c9a517174651d3fe  Nick            \n",
       "\n",
       "  user.lastName  user.gender    user.id  \n",
       "0  E            NaN           484542633  "
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.set_option('display.max_colwidth', -1)\n",
    "\n",
    "tips_df = json_normalize(tips) # json normalize tips\n",
    "\n",
    "# columns to keep\n",
    "filtered_columns = ['text', 'agreeCount', 'disagreeCount', 'id', 'user.firstName', 'user.lastName', 'user.gender', 'user.id']\n",
    "tips_filtered = tips_df.loc[:, filtered_columns]\n",
    "\n",
    "# display tips\n",
    "tips_filtered"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "button": false,
    "new_sheet": false,
    "run_control": {
     "read_only": false
    }
   },
   "source": [
    "Now remember that because we are using a personal developer account, then we can access only 2 of the restaurant's tips, instead of all 15 tips."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "button": false,
    "new_sheet": false,
    "run_control": {
     "read_only": false
    }
   },
   "source": [
    "   "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "button": false,
    "new_sheet": false,
    "run_control": {
     "read_only": false
    }
   },
   "source": [
    "<a id=\"item3\"></a>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "button": false,
    "new_sheet": false,
    "run_control": {
     "read_only": false
    }
   },
   "source": [
    "## 3. Search a Foursquare User\n",
    "> `https://api.foursquare.com/v2/users/`**USER_ID**`?client_id=`**CLIENT_ID**`&client_secret=`**CLIENT_SECRET**`&v=`**VERSION**"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "button": false,
    "new_sheet": false,
    "run_control": {
     "read_only": false
    }
   },
   "source": [
    "### Define URL, send GET request and display features associated with user"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "button": false,
    "new_sheet": false,
    "run_control": {
     "read_only": false
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'meta': {'code': 401,\n",
       "  'errorType': 'invalid_auth',\n",
       "  'errorDetail': 'Missing oauth_token. See https://developer.foursquare.com/docs/api/configuration/authentication for details.',\n",
       "  'requestId': '5e8cd86dc546f3001b0bb3d2'},\n",
       " 'response': {}}"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "user_id = '484542633' # user ID with most agree counts and complete profile\n",
    "\n",
    "url = 'https://api.foursquare.com/v2/users/{}?client_id={}&client_secret={}&v={}'.format(user_id, CLIENT_ID, CLIENT_SECRET, VERSION) # define URL\n",
    "\n",
    "# send GET request\n",
    "results = requests.get(url).json()\n",
    "results\n",
    "# user_data = results['response']['user']\n",
    "\n",
    "# # display features associated with user\n",
    "# user_data.keys()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "button": false,
    "new_sheet": false,
    "run_control": {
     "read_only": false
    }
   },
   "outputs": [],
   "source": [
    "print('First Name: ' + user_data['firstName'])\n",
    "print('Last Name: ' + user_data['lastName'])\n",
    "print('Home City: ' + user_data['homeCity'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "button": false,
    "new_sheet": false,
    "run_control": {
     "read_only": false
    }
   },
   "source": [
    "#### How many tips has this user submitted?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "button": false,
    "new_sheet": false,
    "run_control": {
     "read_only": false
    }
   },
   "outputs": [],
   "source": [
    "user_data['tips']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "button": false,
    "new_sheet": false,
    "run_control": {
     "read_only": false
    }
   },
   "source": [
    "Wow! So it turns out that Nick is a very active Foursquare user, with more than 250 tips."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "button": false,
    "new_sheet": false,
    "run_control": {
     "read_only": false
    }
   },
   "source": [
    "### Get User's tips"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "button": false,
    "new_sheet": false,
    "run_control": {
     "read_only": false
    },
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "# define tips URL\n",
    "url = 'https://api.foursquare.com/v2/users/{}/tips?client_id={}&client_secret={}&v={}&limit={}'.format(user_id, CLIENT_ID, CLIENT_SECRET, VERSION, limit)\n",
    "\n",
    "# send GET request and get user's tips\n",
    "results = requests.get(url).json()\n",
    "tips = results['response']['tips']['items']\n",
    "\n",
    "# format column width\n",
    "pd.set_option('display.max_colwidth', -1)\n",
    "\n",
    "tips_df = json_normalize(tips)\n",
    "\n",
    "# filter columns\n",
    "filtered_columns = ['text', 'agreeCount', 'disagreeCount', 'id']\n",
    "tips_filtered = tips_df.loc[:, filtered_columns]\n",
    "\n",
    "# display user's tips\n",
    "tips_filtered"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "button": false,
    "new_sheet": false,
    "run_control": {
     "read_only": false
    }
   },
   "source": [
    "#### Let's get the venue for the tip with the greatest number of agree counts"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "button": false,
    "new_sheet": false,
    "run_control": {
     "read_only": false
    }
   },
   "outputs": [],
   "source": [
    "tip_id = '5ab5575d73fe2516ad8f363b' # tip id\n",
    "\n",
    "# define URL\n",
    "url = 'http://api.foursquare.com/v2/tips/{}?client_id={}&client_secret={}&v={}'.format(tip_id, CLIENT_ID, CLIENT_SECRET, VERSION)\n",
    "\n",
    "# send GET Request and examine results\n",
    "result = requests.get(url).json()\n",
    "print(result['response']['tip']['venue']['name'])\n",
    "print(result['response']['tip']['venue']['location'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "button": false,
    "new_sheet": false,
    "run_control": {
     "read_only": false
    }
   },
   "source": [
    "### Get User's friends"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "button": false,
    "new_sheet": false,
    "run_control": {
     "read_only": false
    },
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "user_friends = json_normalize(user_data['friends']['groups'][0]['items'])\n",
    "user_friends"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "button": false,
    "new_sheet": false,
    "run_control": {
     "read_only": false
    }
   },
   "source": [
    "Interesting. Despite being very active, it turns out that Nick does not have any friends on Foursquare. This might definitely change in the future."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "button": false,
    "new_sheet": false,
    "run_control": {
     "read_only": false
    }
   },
   "source": [
    "### Retrieve the User's Profile Image"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "button": false,
    "new_sheet": false,
    "run_control": {
     "read_only": false
    },
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "user_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "button": false,
    "new_sheet": false,
    "run_control": {
     "read_only": false
    }
   },
   "outputs": [],
   "source": [
    "# 1. grab prefix of photo\n",
    "# 2. grab suffix of photo\n",
    "# 3. concatenate them using the image size  \n",
    "Image(url='https://igx.4sqi.net/img/user/300x300/484542633_mK2Yum7T_7Tn9fWpndidJsmw2Hof_6T5vJBKCHPLMK5OL-U5ZiJGj51iwBstcpDLYa3Zvhvis.jpg')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "button": false,
    "new_sheet": false,
    "run_control": {
     "read_only": false
    }
   },
   "source": [
    "  "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "button": false,
    "new_sheet": false,
    "run_control": {
     "read_only": false
    }
   },
   "source": [
    "<a id=\"item4\"></a>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "button": false,
    "new_sheet": false,
    "run_control": {
     "read_only": false
    }
   },
   "source": [
    "## 4. Explore a location\n",
    "> `https://api.foursquare.com/v2/venues/`**explore**`?client_id=`**CLIENT_ID**`&client_secret=`**CLIENT_SECRET**`&ll=`**LATITUDE**`,`**LONGITUDE**`&v=`**VERSION**`&limit=`**LIMIT**"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "button": false,
    "new_sheet": false,
    "run_control": {
     "read_only": false
    }
   },
   "source": [
    "#### So, you just finished your gourmet dish at Ecco, and are just curious about the popular spots around the restaurant. In order to explore the area, let's start by getting the latitude and longitude values of Ecco Restaurant."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "button": false,
    "new_sheet": false,
    "run_control": {
     "read_only": false
    }
   },
   "outputs": [],
   "source": [
    "latitude = 40.715337\n",
    "longitude = -74.008848"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "button": false,
    "new_sheet": false,
    "run_control": {
     "read_only": false
    }
   },
   "source": [
    "#### Define URL"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "button": false,
    "new_sheet": false,
    "run_control": {
     "read_only": false
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'https://api.foursquare.com/v2/venues/explore?client_id=SMK2Y0HXMLZF4VCSY50K533LTY1AWP1BMWZNVZOITBCYMLXM&client_secret=UKXCIKHLIBRPMODA1K5KA50MPYWR01E0JVYWT0DC5GTL31XE&ll=40.715337,-74.008848&v=20180604&radius=500&limit=30'"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "url = 'https://api.foursquare.com/v2/venues/explore?client_id={}&client_secret={}&ll={},{}&v={}&radius={}&limit={}'.format(CLIENT_ID, CLIENT_SECRET, latitude, longitude, VERSION, radius, LIMIT)\n",
    "url"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "button": false,
    "new_sheet": false,
    "run_control": {
     "read_only": false
    }
   },
   "source": [
    "#### Send GET request and examine results"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "button": false,
    "new_sheet": false,
    "run_control": {
     "read_only": false
    }
   },
   "outputs": [],
   "source": [
    "import requests"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "button": false,
    "new_sheet": false,
    "run_control": {
     "read_only": false
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'There are 30 around Ecco restaurant.'"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "results = requests.get(url).json()\n",
    "'There are {} around Ecco restaurant.'.format(len(results['response']['groups'][0]['items']))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "button": false,
    "new_sheet": false,
    "run_control": {
     "read_only": false
    }
   },
   "source": [
    "#### Get relevant part of JSON"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "button": false,
    "new_sheet": false,
    "run_control": {
     "read_only": false
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'reasons': {'count': 0,\n",
       "  'items': [{'summary': 'This spot is popular',\n",
       "    'type': 'general',\n",
       "    'reasonName': 'globalInteractionReason'}]},\n",
       " 'venue': {'id': '4af5d65ff964a52091fd21e3',\n",
       "  'name': 'Korin',\n",
       "  'location': {'address': '57 Warren St',\n",
       "   'crossStreet': 'Church St',\n",
       "   'lat': 40.71482437714839,\n",
       "   'lng': -74.00940425461492,\n",
       "   'labeledLatLngs': [{'label': 'display',\n",
       "     'lat': 40.71482437714839,\n",
       "     'lng': -74.00940425461492},\n",
       "    {'label': '?', 'lat': 40.714727, 'lng': -74.009399}],\n",
       "   'distance': 73,\n",
       "   'postalCode': '10007',\n",
       "   'cc': 'US',\n",
       "   'neighborhood': 'Tribeca',\n",
       "   'city': 'New York',\n",
       "   'state': 'NY',\n",
       "   'country': 'United States',\n",
       "   'formattedAddress': ['57 Warren St (Church St)',\n",
       "    'New York, NY 10007',\n",
       "    'United States']},\n",
       "  'categories': [{'id': '4bf58dd8d48988d1f8941735',\n",
       "    'name': 'Furniture / Home Store',\n",
       "    'pluralName': 'Furniture / Home Stores',\n",
       "    'shortName': 'Furniture / Home',\n",
       "    'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/shops/furniture_',\n",
       "     'suffix': '.png'},\n",
       "    'primary': True}],\n",
       "  'photos': {'count': 0, 'groups': []},\n",
       "  'venuePage': {'id': '33104775'}},\n",
       " 'referralId': 'e-0-4af5d65ff964a52091fd21e3-0'}"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "items = results['response']['groups'][0]['items']\n",
    "items[0]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "button": false,
    "new_sheet": false,
    "run_control": {
     "read_only": false
    }
   },
   "source": [
    "#### Process JSON and convert it to a clean dataframe"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "button": false,
    "new_sheet": false,
    "run_control": {
     "read_only": false
    },
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>name</th>\n",
       "      <th>categories</th>\n",
       "      <th>address</th>\n",
       "      <th>crossStreet</th>\n",
       "      <th>lat</th>\n",
       "      <th>lng</th>\n",
       "      <th>labeledLatLngs</th>\n",
       "      <th>distance</th>\n",
       "      <th>postalCode</th>\n",
       "      <th>cc</th>\n",
       "      <th>neighborhood</th>\n",
       "      <th>city</th>\n",
       "      <th>state</th>\n",
       "      <th>country</th>\n",
       "      <th>formattedAddress</th>\n",
       "      <th>id</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Korin</td>\n",
       "      <td>Furniture / Home Store</td>\n",
       "      <td>57 Warren St</td>\n",
       "      <td>Church St</td>\n",
       "      <td>40.714824</td>\n",
       "      <td>-74.009404</td>\n",
       "      <td>[{'label': 'display', 'lat': 40.71482437714839, 'lng': -74.00940425461492}, {'label': '?', 'lat': 40.714727, 'lng': -74.009399}]</td>\n",
       "      <td>73</td>\n",
       "      <td>10007</td>\n",
       "      <td>US</td>\n",
       "      <td>Tribeca</td>\n",
       "      <td>New York</td>\n",
       "      <td>NY</td>\n",
       "      <td>United States</td>\n",
       "      <td>[57 Warren St (Church St), New York, NY 10007, United States]</td>\n",
       "      <td>4af5d65ff964a52091fd21e3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Los Tacos No. 1</td>\n",
       "      <td>Taco Place</td>\n",
       "      <td>136 Church St</td>\n",
       "      <td>NaN</td>\n",
       "      <td>40.714267</td>\n",
       "      <td>-74.008756</td>\n",
       "      <td>[{'label': 'display', 'lat': 40.714267, 'lng': -74.008756}]</td>\n",
       "      <td>119</td>\n",
       "      <td>10007</td>\n",
       "      <td>US</td>\n",
       "      <td>NaN</td>\n",
       "      <td>New York</td>\n",
       "      <td>NY</td>\n",
       "      <td>United States</td>\n",
       "      <td>[136 Church St, New York, NY 10007, United States]</td>\n",
       "      <td>5d5f24ec09484500079aee00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Takahachi Bakery</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>25 Murray St</td>\n",
       "      <td>at Church St</td>\n",
       "      <td>40.713653</td>\n",
       "      <td>-74.008804</td>\n",
       "      <td>[{'label': 'display', 'lat': 40.713652845301894, 'lng': -74.0088038953017}]</td>\n",
       "      <td>187</td>\n",
       "      <td>10007</td>\n",
       "      <td>US</td>\n",
       "      <td>NaN</td>\n",
       "      <td>New York</td>\n",
       "      <td>NY</td>\n",
       "      <td>United States</td>\n",
       "      <td>[25 Murray St (at Church St), New York, NY 10007, United States]</td>\n",
       "      <td>4c154c9a77cea593c401d260</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Chambers Street Wines</td>\n",
       "      <td>Wine Shop</td>\n",
       "      <td>148 Chambers St</td>\n",
       "      <td>btwn West Broadway &amp; Hudson St</td>\n",
       "      <td>40.715773</td>\n",
       "      <td>-74.009718</td>\n",
       "      <td>[{'label': 'display', 'lat': 40.715773063928374, 'lng': -74.00971823312332}]</td>\n",
       "      <td>88</td>\n",
       "      <td>10007</td>\n",
       "      <td>US</td>\n",
       "      <td>NaN</td>\n",
       "      <td>New York</td>\n",
       "      <td>NY</td>\n",
       "      <td>United States</td>\n",
       "      <td>[148 Chambers St (btwn West Broadway &amp; Hudson St), New York, NY 10007, United States]</td>\n",
       "      <td>4adcf23cf964a520cc6221e3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Juice Press</td>\n",
       "      <td>Vegetarian / Vegan Restaurant</td>\n",
       "      <td>83 Murray St</td>\n",
       "      <td>btwn Greenwich St &amp; W Broadway</td>\n",
       "      <td>40.714788</td>\n",
       "      <td>-74.011132</td>\n",
       "      <td>[{'label': 'display', 'lat': 40.71478769908051, 'lng': -74.0111317502157}]</td>\n",
       "      <td>202</td>\n",
       "      <td>10007</td>\n",
       "      <td>US</td>\n",
       "      <td>NaN</td>\n",
       "      <td>New York</td>\n",
       "      <td>NY</td>\n",
       "      <td>United States</td>\n",
       "      <td>[83 Murray St (btwn Greenwich St &amp; W Broadway), New York, NY 10007, United States]</td>\n",
       "      <td>54148bc6498ea7bb8c05b70a</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Philip Williams Posters</td>\n",
       "      <td>Antique Shop</td>\n",
       "      <td>122 Chambers St</td>\n",
       "      <td>NaN</td>\n",
       "      <td>40.715284</td>\n",
       "      <td>-74.008781</td>\n",
       "      <td>[{'label': 'display', 'lat': 40.71528423132827, 'lng': -74.00878093952018}]</td>\n",
       "      <td>8</td>\n",
       "      <td>10007</td>\n",
       "      <td>US</td>\n",
       "      <td>NaN</td>\n",
       "      <td>New York</td>\n",
       "      <td>NY</td>\n",
       "      <td>United States</td>\n",
       "      <td>[122 Chambers St, New York, NY 10007, United States]</td>\n",
       "      <td>4b747291f964a52042dd2de3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Heyday</td>\n",
       "      <td>Spa</td>\n",
       "      <td>92 Reade St</td>\n",
       "      <td>NaN</td>\n",
       "      <td>40.715726</td>\n",
       "      <td>-74.007767</td>\n",
       "      <td>[{'label': 'display', 'lat': 40.715726, 'lng': -74.007767}, {'label': '?', 'lat': 40.715654, 'lng': -74.00782}]</td>\n",
       "      <td>100</td>\n",
       "      <td>10013</td>\n",
       "      <td>US</td>\n",
       "      <td>NaN</td>\n",
       "      <td>New York</td>\n",
       "      <td>NY</td>\n",
       "      <td>United States</td>\n",
       "      <td>[92 Reade St, New York, NY 10013, United States]</td>\n",
       "      <td>57ad129c498e05b086594d72</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Takahachi</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "      <td>145 Duane St</td>\n",
       "      <td>btwn W Broadway &amp; Church St</td>\n",
       "      <td>40.716526</td>\n",
       "      <td>-74.008101</td>\n",
       "      <td>[{'label': 'display', 'lat': 40.71652647412374, 'lng': -74.00810108466207}]</td>\n",
       "      <td>146</td>\n",
       "      <td>10013</td>\n",
       "      <td>US</td>\n",
       "      <td>NaN</td>\n",
       "      <td>New York</td>\n",
       "      <td>NY</td>\n",
       "      <td>United States</td>\n",
       "      <td>[145 Duane St (btwn W Broadway &amp; Church St), New York, NY 10013, United States]</td>\n",
       "      <td>4a8f2f39f964a520471420e3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Equinox Tribeca</td>\n",
       "      <td>Gym</td>\n",
       "      <td>54 Murray St</td>\n",
       "      <td>at W Broadway</td>\n",
       "      <td>40.714099</td>\n",
       "      <td>-74.009686</td>\n",
       "      <td>[{'label': 'display', 'lat': 40.71409860726041, 'lng': -74.0096857179283}]</td>\n",
       "      <td>154</td>\n",
       "      <td>10007</td>\n",
       "      <td>US</td>\n",
       "      <td>NaN</td>\n",
       "      <td>New York</td>\n",
       "      <td>NY</td>\n",
       "      <td>United States</td>\n",
       "      <td>[54 Murray St (at W Broadway), New York, NY 10007, United States]</td>\n",
       "      <td>4a6e331af964a52031d41fe3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Whole Foods Market</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>270 Greenwich Street</td>\n",
       "      <td>at Warren St</td>\n",
       "      <td>40.715579</td>\n",
       "      <td>-74.011368</td>\n",
       "      <td>[{'label': 'display', 'lat': 40.715579155420606, 'lng': -74.01136823958119}]</td>\n",
       "      <td>214</td>\n",
       "      <td>10007</td>\n",
       "      <td>US</td>\n",
       "      <td>Tribeca</td>\n",
       "      <td>New York</td>\n",
       "      <td>NY</td>\n",
       "      <td>United States</td>\n",
       "      <td>[270 Greenwich Street (at Warren St), New York, NY 10007, United States]</td>\n",
       "      <td>49bc3b0af964a52020541fe3</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                      name                     categories  \\\n",
       "0  Korin                    Furniture / Home Store          \n",
       "1  Los Tacos No. 1          Taco Place                      \n",
       "2  Takahachi Bakery         Bakery                          \n",
       "3  Chambers Street Wines    Wine Shop                       \n",
       "4  Juice Press              Vegetarian / Vegan Restaurant   \n",
       "5  Philip Williams Posters  Antique Shop                    \n",
       "6  Heyday                   Spa                             \n",
       "7  Takahachi                Sushi Restaurant                \n",
       "8  Equinox Tribeca          Gym                             \n",
       "9  Whole Foods Market       Grocery Store                   \n",
       "\n",
       "                address                     crossStreet        lat        lng  \\\n",
       "0  57 Warren St          Church St                       40.714824 -74.009404   \n",
       "1  136 Church St         NaN                             40.714267 -74.008756   \n",
       "2  25 Murray St          at Church St                    40.713653 -74.008804   \n",
       "3  148 Chambers St       btwn West Broadway & Hudson St  40.715773 -74.009718   \n",
       "4  83 Murray St          btwn Greenwich St & W Broadway  40.714788 -74.011132   \n",
       "5  122 Chambers St       NaN                             40.715284 -74.008781   \n",
       "6  92 Reade St           NaN                             40.715726 -74.007767   \n",
       "7  145 Duane St          btwn W Broadway & Church St     40.716526 -74.008101   \n",
       "8  54 Murray St          at W Broadway                   40.714099 -74.009686   \n",
       "9  270 Greenwich Street  at Warren St                    40.715579 -74.011368   \n",
       "\n",
       "                                                                                                                     labeledLatLngs  \\\n",
       "0  [{'label': 'display', 'lat': 40.71482437714839, 'lng': -74.00940425461492}, {'label': '?', 'lat': 40.714727, 'lng': -74.009399}]   \n",
       "1  [{'label': 'display', 'lat': 40.714267, 'lng': -74.008756}]                                                                        \n",
       "2  [{'label': 'display', 'lat': 40.713652845301894, 'lng': -74.0088038953017}]                                                        \n",
       "3  [{'label': 'display', 'lat': 40.715773063928374, 'lng': -74.00971823312332}]                                                       \n",
       "4  [{'label': 'display', 'lat': 40.71478769908051, 'lng': -74.0111317502157}]                                                         \n",
       "5  [{'label': 'display', 'lat': 40.71528423132827, 'lng': -74.00878093952018}]                                                        \n",
       "6  [{'label': 'display', 'lat': 40.715726, 'lng': -74.007767}, {'label': '?', 'lat': 40.715654, 'lng': -74.00782}]                    \n",
       "7  [{'label': 'display', 'lat': 40.71652647412374, 'lng': -74.00810108466207}]                                                        \n",
       "8  [{'label': 'display', 'lat': 40.71409860726041, 'lng': -74.0096857179283}]                                                         \n",
       "9  [{'label': 'display', 'lat': 40.715579155420606, 'lng': -74.01136823958119}]                                                       \n",
       "\n",
       "   distance postalCode  cc neighborhood      city state        country  \\\n",
       "0  73        10007      US  Tribeca      New York  NY    United States   \n",
       "1  119       10007      US  NaN          New York  NY    United States   \n",
       "2  187       10007      US  NaN          New York  NY    United States   \n",
       "3  88        10007      US  NaN          New York  NY    United States   \n",
       "4  202       10007      US  NaN          New York  NY    United States   \n",
       "5  8         10007      US  NaN          New York  NY    United States   \n",
       "6  100       10013      US  NaN          New York  NY    United States   \n",
       "7  146       10013      US  NaN          New York  NY    United States   \n",
       "8  154       10007      US  NaN          New York  NY    United States   \n",
       "9  214       10007      US  Tribeca      New York  NY    United States   \n",
       "\n",
       "                                                                        formattedAddress  \\\n",
       "0  [57 Warren St (Church St), New York, NY 10007, United States]                           \n",
       "1  [136 Church St, New York, NY 10007, United States]                                      \n",
       "2  [25 Murray St (at Church St), New York, NY 10007, United States]                        \n",
       "3  [148 Chambers St (btwn West Broadway & Hudson St), New York, NY 10007, United States]   \n",
       "4  [83 Murray St (btwn Greenwich St & W Broadway), New York, NY 10007, United States]      \n",
       "5  [122 Chambers St, New York, NY 10007, United States]                                    \n",
       "6  [92 Reade St, New York, NY 10013, United States]                                        \n",
       "7  [145 Duane St (btwn W Broadway & Church St), New York, NY 10013, United States]         \n",
       "8  [54 Murray St (at W Broadway), New York, NY 10007, United States]                       \n",
       "9  [270 Greenwich Street (at Warren St), New York, NY 10007, United States]                \n",
       "\n",
       "                         id  \n",
       "0  4af5d65ff964a52091fd21e3  \n",
       "1  5d5f24ec09484500079aee00  \n",
       "2  4c154c9a77cea593c401d260  \n",
       "3  4adcf23cf964a520cc6221e3  \n",
       "4  54148bc6498ea7bb8c05b70a  \n",
       "5  4b747291f964a52042dd2de3  \n",
       "6  57ad129c498e05b086594d72  \n",
       "7  4a8f2f39f964a520471420e3  \n",
       "8  4a6e331af964a52031d41fe3  \n",
       "9  49bc3b0af964a52020541fe3  "
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dataframe = json_normalize(items) # flatten JSON\n",
    "\n",
    "# filter columns\n",
    "filtered_columns = ['venue.name', 'venue.categories'] + [col for col in dataframe.columns if col.startswith('venue.location.')] + ['venue.id']\n",
    "dataframe_filtered = dataframe.loc[:, filtered_columns]\n",
    "\n",
    "# filter the category for each row\n",
    "dataframe_filtered['venue.categories'] = dataframe_filtered.apply(get_category_type, axis=1)\n",
    "\n",
    "# clean columns\n",
    "dataframe_filtered.columns = [col.split('.')[-1] for col in dataframe_filtered.columns]\n",
    "\n",
    "dataframe_filtered.head(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "button": false,
    "new_sheet": false,
    "run_control": {
     "read_only": false
    }
   },
   "source": [
    "#### Let's visualize these items on the map around our location"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {
    "button": false,
    "new_sheet": false,
    "run_control": {
     "read_only": false
    }
   },
   "outputs": [
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</script> onload=\"this.contentDocument.open();this.contentDocument.write(atob(this.getAttribute('data-html')));this.contentDocument.close();\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>"
      ],
      "text/plain": [
       "<folium.folium.Map at 0x1d382942550>"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "venues_map = folium.Map(location=[latitude, longitude], zoom_start=15) # generate map centred around Ecco\n",
    "\n",
    "\n",
    "# add Ecco as a red circle mark\n",
    "folium.vector_layers.CircleMarker(\n",
    "    [latitude, longitude],\n",
    "    radius=10,\n",
    "    popup='Ecco',\n",
    "    fill=True,\n",
    "    color='red',\n",
    "    fill_color='red',\n",
    "    fill_opacity=0.6\n",
    "    ).add_to(venues_map)\n",
    "\n",
    "\n",
    "# add popular spots to the map as blue circle markers\n",
    "for lat, lng, label in zip(dataframe_filtered.lat, dataframe_filtered.lng, dataframe_filtered.categories):\n",
    "    folium.vector_layers.CircleMarker(\n",
    "        [lat, lng],\n",
    "        radius=5,\n",
    "        popup=label,\n",
    "        fill=True,\n",
    "        color='blue',\n",
    "        fill_color='blue',\n",
    "        fill_opacity=0.6\n",
    "        ).add_to(venues_map)\n",
    "\n",
    "# display map\n",
    "venues_map"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "button": false,
    "new_sheet": false,
    "run_control": {
     "read_only": false
    }
   },
   "source": [
    "   "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "button": false,
    "new_sheet": false,
    "run_control": {
     "read_only": false
    }
   },
   "source": [
    "<a id=\"item5\"></a>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "button": false,
    "new_sheet": false,
    "run_control": {
     "read_only": false
    }
   },
   "source": [
    "## 5. Explore Trending Venues\n",
    "> `https://api.foursquare.com/v2/venues/`**trending**`?client_id=`**CLIENT_ID**`&client_secret=`**CLIENT_SECRET**`&ll=`**LATITUDE**`,`**LONGITUDE**`&v=`**VERSION**"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "button": false,
    "new_sheet": false,
    "run_control": {
     "read_only": false
    }
   },
   "source": [
    "#### Now, instead of simply exploring the area around Ecco, you are interested in knowing the venues that are trending at the time you are done with your lunch, meaning the places with the highest foot traffic. So let's do that and get the trending venues around Ecco."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "button": false,
    "new_sheet": false,
    "run_control": {
     "read_only": false
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'meta': {'code': 200, 'requestId': '5e8ce0950de0d90023f9d697'},\n",
       " 'response': {'venues': []}}"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# define URL\n",
    "url = 'https://api.foursquare.com/v2/venues/trending?client_id={}&client_secret={}&ll={},{}&v={}'.format(CLIENT_ID, CLIENT_SECRET, latitude, longitude, VERSION)\n",
    "\n",
    "# send GET request and get trending venues\n",
    "results = requests.get(url).json()\n",
    "results"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "button": false,
    "new_sheet": false,
    "run_control": {
     "read_only": false
    }
   },
   "source": [
    "### Check if any venues are trending at this time"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {
    "button": false,
    "new_sheet": false,
    "run_control": {
     "read_only": false
    }
   },
   "outputs": [],
   "source": [
    "if len(results['response']['venues']) == 0:\n",
    "    trending_venues_df = 'No trending venues are available at the moment!'\n",
    "    \n",
    "else:\n",
    "    trending_venues = results['response']['venues']\n",
    "    trending_venues_df = json_normalize(trending_venues)\n",
    "\n",
    "    # filter columns\n",
    "    columns_filtered = ['name', 'categories'] + ['location.distance', 'location.city', 'location.postalCode', 'location.state', 'location.country', 'location.lat', 'location.lng']\n",
    "    trending_venues_df = trending_venues_df.loc[:, columns_filtered]\n",
    "\n",
    "    # filter the category for each row\n",
    "    trending_venues_df['categories'] = trending_venues_df.apply(get_category_type, axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {
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    "new_sheet": false,
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    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'No trending venues are available at the moment!'"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# display trending venues\n",
    "trending_venues_df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "button": false,
    "new_sheet": false,
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   },
   "source": [
    "Now, depending on when you run the above code, you might get different venues since the venues with the highest foot traffic are fetched live. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
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   },
   "source": [
    "### Visualize trending venues"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {
    "button": false,
    "new_sheet": false,
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   "source": [
    "if len(results['response']['venues']) == 0:\n",
    "    venues_map = 'Cannot generate visual as no trending venues are available at the moment!'\n",
    "\n",
    "else:\n",
    "    venues_map = folium.Map(location=[latitude, longitude], zoom_start=15) # generate map centred around Ecco\n",
    "\n",
    "\n",
    "    # add Ecco as a red circle mark\n",
    "    folium.vector_layers.CircleMarker(\n",
    "        [latitude, longitude],\n",
    "        radius=10,\n",
    "        popup='Ecco',\n",
    "        fill=True,\n",
    "        color='red',\n",
    "        fill_color='red',\n",
    "        fill_opacity=0.6\n",
    "    ).add_to(venues_map)\n",
    "\n",
    "\n",
    "    # add the trending venues as blue circle markers\n",
    "    for lat, lng, label in zip(trending_venues_df['location.lat'], trending_venues_df['location.lng'], trending_venues_df['name']):\n",
    "        folium.vector_layers.CircleMarker(\n",
    "            [lat, lng],\n",
    "            radius=5,\n",
    "            poup= label,\n",
    "            fill=True,\n",
    "            color='blue',\n",
    "            fill_color='blue',\n",
    "            fill_opacity=0.6\n",
    "        ).add_to(venues_map)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {
    "button": false,
    "new_sheet": false,
    "run_control": {
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    },
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Cannot generate visual as no trending venues are available at the moment!'"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# display map\n",
    "venues_map"
   ]
  },
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   "cell_type": "markdown",
   "metadata": {
    "button": false,
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   "source": [
    "<a id=\"item6\"></a>"
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    "   "
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