A python script to parse your spotify extended history and provide interesting statistics
NOTE: This only works for the extended history generated via Spotify's official data download request. The process may take upto 30 days
This is a simple python script to go through your spotify data and provide interesting statistics such as the most played songs/albums/artists or the most Listened songs/albums/artists. Unlike spotify wrapped, spotify's extended history lets you view your lifetime streaming history
Python 3.7.17+
- Clone this repo/download the spotifyParser.py file
- Place spotifyParser.py into a folder containing all of the spotify history extended jsons
- Open spotifyParser.py in a text editor of your choice and in
if __name__ == __main__uncomment the required function - Run spotifyParser.py
| Function | Use |
|---|---|
list_ranges |
Lists out the possible range of values each key in the json file can have (Debug Purposes) |
print_most_listened_days |
Prints a list of the days where most time was spent on Spotify |
print_first_items |
Prints a list of the first items a user has listened to in spotify |
print_most_on_repeat_item |
Prints out the longest streak of repeating songs |
print_item_time |
For a given item, it prints out the total time listened |
print_item_count |
For a given item, it prints out the total number of times listened |
print_most_played_item_by_time |
Displays a list of the most played items based on total listening time |
print_most_played_item_by_count |
Displays a list of the most played items based on total play count |
print_most_skipped_item |
Displays a list of the most skipped item |
Note: An item may be "artist", "album" or "track"
- Create a CLI interface for the script
- Create a GUI for the script
- Make the script more efficient by using pandas
- Add typing support
- Turn the script into a python module and instead of printing values, return them instead