mkply

Create a Spotify Playlist for yourself or a joint playlist with your friends.

This package is a wrapper around Spotipy.

Installation

$ pip install git+https://github.com/elena-krismer/mkply.git

Usage

User Authenification

get client_id and client_secret https://developer.spotify.com/documentation/general/guides/authorization/app-settings/
specify redirect_uri in your spotify developer account
Plus, to save your playlist you require your user_id, which you can find in your Spotify account (-> account)

More details about the authorization you can find on Spotipy.

Create playlist for myself

import mkply
sp = mkply.Listener(client_id="your_client_id",
                             client_secret="your_client_secret",
                             redirect_uri = "your_redirect_uri", 
                             user_id = "your_user_id")
sp.create_playlist(save = True)

Create playlist with friends

import mkply
friend_1 = mkply.Listener(client_id="friend_1_client_id",
                             client_secret="friend_1_client_secret",
                             redirect_uri = "friend_1_redirect_uri")
friend_2 = mkply.Listener(client_id="friend_2_client_id",
                             client_secret="friend_2_client_secret",
                             redirect_uri = "friend_2_redirect_uri") 

# Spotify main account - here playlists will be saved
main_account = mkply.Listener(client_id="your_client_id",
                             client_secret="your_client_secret",
                             redirect_uri = "your_redirect_uri", 
                             user_id = "your_user_id")

sp = mkply.MultiListener(list_of_listeners = [friend_1, friend_2, main_account] , spotify_account = main_account)             
sp.create_playlist(save = True)

Contributing

Interested in contributing? Check out the contributing guidelines. Please note that this project is released with a Code of Conduct. By contributing to this project, you agree to abide by its terms.

License

mkply was created by Elena Krismer. It is licensed under the terms of the MIT license.

Credits

mkply was created with cookiecutter and the py-pkgs-cookiecutter template.

elena-krismer / mkply