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🎶 What's the scene?

Automated Spotify playlist creation based on who's playing in your town using Spotify and Songkick APIs.

This project is currently a work in progress.

Requirements + How To Run:

  • Install spotipy and requests using the requirements.txt file. This can be done by running the command pip install -r requirements.txt. Ideally, this is done within a virtual environment.

  • Ensure that you have a Songkick API key and a Spotify API client ID, secret, and your Spotify username. These must be put into a config.py file in the same folder as run.py, in the following format:

    CLIENT_ID = 'insert-your-client-id-as-a-string-here'
CLIENT_SECRET = 'insert-your-client-secret-as-a-string-here'
CLIENT_USERNAME = 'insert-your-spotify-username-here'
SONGKICK_API_KEY = 'insert-your-songkick-api-key-here'

  • For more information on the Spotify API, click here.

  • For more information on the Songkick API, click here.

  • Run run.py with your city as the sole argument. For example, if you live in Philadelphia, python run.py philadelphia.

  • The current setup only creates a playlist for artists playing in your city for the next two days. This can be adjusted by adding another argument to your command line statement. For example, if you want a playlist for the next week, use python run.py philadelphia 7.

Project To-Dos:

  • Error handling for user input.
  • Spotify
    • Ensure songs are not duplicated in a playlist
    • Ensure each playlist is of a certain size
    • Pick songs from top songs at random (this is a debatable feature)
    • train + use binary classifier to enhance song selection