🎧 Spoti Pitchfork

Spoti Pitchfork is a command-line interface that allows users to create playlists including the best new tracks, albums and reissues as reviewed by Pitchfork.

Features

• Parses the Pitchfork RSS feeds to get the names of the best reviewed tracks, albums, and reissues
• Uses the Spotify API to search for these items in the Spotify library
• Automatically generates playlists for these tracks, albums and/or reissues for a specific user

Requirements

The CLI requires a Spotify Developer account and application with a Client ID and Client Secret

Usage

1. Clone the repository

2. Install requirements

   $ pip install -r requirements.txt

3. Create a file called spotify_client_credentials.py in the config directory, with your Spotify application Client ID and Client Secret, and your Spotify username

   # Spotify API Credentials
   CLIENT_ID     = <SPOTIFY_API_CLIENT_ID>
   CLIENT_SECRET = <SPOTIFY_API_CLIENT_SECRET>
   REDIRECT_URI  = 'http://google.com/'
   USERNAME      = <SPOTFIY_USERNAME>
   SCOPE         = 'user-library-read playlist-modify-public'

4. Run the script create_playlists.py

   $ python create_playlists.py --help
   
   usage: create_playlist.py [-h] [--tn TN] [--td TD] [--an AN] [--ad AD] [--rn RN] [--rd RD] [-t] [-a] [-r]
   
   Creates Spotify playlists for the user
   
   optional arguments:
   -h, --help      show this help message and exit
   --tn TN         Name of 'best new tracks' playlist
   --td TD         Description of 'best new tracks' playlist
   --an AN         Name of 'best new albums' playlist
   --ad AD         Description of 'best new albums' playlist
   --rn RN         Name of 'best new reissues' playlist
   --rd RD         Description of 'best new reissues' playlist
   -t, --tracks    Create playlist for 'best new tracks'
   -a, --albums    Create playlist for 'best new albums'
   -r, --reissues  Create playlist for 'best new reissues'

   Note: default playlist names and descriptions will be generated if not specified

5. A sample command to create best new tracks and reissues playlists

   $ python create_playlists.py -tr

License

MIT © Emmanuel Macario

Attribution

Made by Emmanuel Macario