Recommendation System: Data Collection

In the first part of this series, I will be collecting approximately 2000 random songs and I would like to find out which songs / music I would like based on my playlists. Once I have the data, I will be using those data to make a recommendation system using Non-negative Matrix Factorization (NMF).

Since I am a Spotify subscriber, I can use their API to get songs' metadata. Unfortunately, I had finished writing my own function after stumbling upon a framework called Spotipy that can be used to interact with Spotify API.

Click here to see the script on GitHub.

There are endpoints that I used to collect the metadata of songs in my own playlist and also songs in the playlists that I never listened to:

1. https://accounts.spotify.com/authorize to get the access token
2. https://accounts.spotify.com/api/token to get the refresh token
3. https://api.spotify.com/v1/me/playlists to get all of my playlists
4. https://api.spotify.com/v1/browse/categories/{category_id}/playlists to get all of the playlists in a category
5. https://api.spotify.com/v1/playlists/{playlist['id']}/tracks to get all of the tracks in a playlist
6. https://api.spotify.com/v1/tracks?ids={track_ids} to get the tracks' metadata in a bulk
7. https://api.spotify.com/v1/audio-features?ids={track_ids} to get the tracks' audio features in a bulk

Here is one of the examples of the metadata that Spotify API returns:

{
  "id": "2i2gDpKKWjvnRTOZRhaPh2",
  "title": "Moonlight",
  "artist(s)": "Kali Uchis",
  "popularity": 88,
  "danceability": 0.639,
  "energy": 0.723,
  "key": 7,
  "loudness": -6.462,
  "mode": 0,
  "speechiness": 0.0532,
  "acousticness": 0.511,
  "instrumentalness": 0.0,
  "liveness": 0.167,
  "valence": 0.878,
  "tempo": 136.872,
  "type": "audio_features",
  "uri": "spotify:track:2i2gDpKKWjvnRTOZRhaPh2",
  "track_href": "https://api.spotify.com/v1/tracks/2i2gDpKKWjvnRTOZRhaPh2",
  "analysis_url": "https://api.spotify.com/v1/audio-analysis/2i2gDpKKWjvnRTOZRhaPh2",
  "duration_ms": 187558,
  "time_signature": 4
}