album-ranker

This script ranks your liked songs on Spotify by album and generates a CSV file with the top 100 albums based on the percentage of liked tracks. What an "album" is defined as is up to you, currently it is 6 or more songs.

Prerequisites

• Python 3.x
• spotipy library
• Spotify Developer account

Setup

1. Clone the repository:

   git clone https://github.com/nbone455/album-ranker.git
   cd album-ranker

2. Install the required libraries:

   pip install spotipy

3. Set up Spotify API credentials:

   • Go to the Spotify Developer Dashboard and create a new application.
   • Note down the Client ID and Client Secret.
   • Set the Redirect URI to http://localhost:8888/callback.

4. Create a .env file in the project directory and add your Spotify API credentials:

   SPOTIPY_CLIENT_ID='your_client_id'
   SPOTIPY_CLIENT_SECRET='your_client_secret'
   SPOTIPY_REDIRECT_URI='http://localhost:8888/callback'

5. Fetch your liked songs:

   • Run the fetch_liked_songs.py script to cache your liked songs.

   python fetch_liked_songs.py

This might take a while but creates a liked songs cache that can be used for other things.

6. Run the album ranker script:

   python spotify_album_ranker.py

Output

The script will generate a CSV file named spotify_top_100_albums.csv with the top 100 albums ranked by the percentage of liked tracks.