• Spotify has a Discover Weekly Playlist which has new songs every week. I use it all the time for discovering new music and I also save a lot of these songs to my library to listen to after the week is over.
• My problem was that I either didn't get around to listening to the full playlist within the week or I incorrectly remembered saving songs to my library. Then, after the week was over I lost those songs forever and missed the chance of finding my new favorite song.
• This script (when setup with a scheduler) will automatically create a copy of the Discover Weekly playlist every week so that you don't need to worry about losing your music after the week is done.

1. Clone this repository, e.g.

   git clone https://github.com/VishalRamesh50/spotify-weekly-scheduler.git

2. Copy .vscode.example to .vscode to get linting settings (optional)

   cp -r .vscode.example .vscode

3. Copy .env.example to .env

   cp .env.example .env

4. Replace the SPOTIFY_USERNAME and SPOTIFY_PASSWORD in the .env file for the desired user.
5. Install dependencies

   pip3 install -r requirements.txt
   poetry install

6. Run the program!

   poetry run python main.py

1. Add the following buildpacks

   • heroku/python
   • https://github.com/heroku/heroku-buildpack-chromedriver
   • https://github.com/heroku/heroku-buildpack-google-chrome

2. Add these config/environment variables

   • CHROMEDRIVER_PATH=/app/.chromedriver/bin/chromedriver
   • GOOGLE_CHROME_BIN=/app/.apt/usr/bin/google-chrome
   • SPOTIFY_USERNAME=your_spotify_username
   • SPOTIFY_PASSWORD=your_spotify_password

Note: This application does not store or send your username and password anywhere. However, they are necessary in order to give this application access to read/create your private Spotify playlists. You can learn more about Spotify Authorization Flow here. You can learn more about Spotify Authorization Scopes here.

3. Add a scheduling extension of your choice and let it run this shell script every Monday:

   poetry install --no-dev && poetry run python main.py

   What I Use: Advanced Scheduler