For Spotify, this automated workflow creates and maintains a "Downloads" playlist, ensuring it always contains up to 50 of your latest liked tracks. It checks for new songs, adds them to the playlist, and removes the oldest tracks when the limit is exceeded, keeping your music library fresh and organized. The workflow runs on a set schedule, freeing up space on your device while ensuring you always have access to your favorite tunes.
This workflow is ideal for:
- Music Enthusiasts: Users who want to keep their favorite tracks organized and easily accessible in a dedicated playlist.
- Spotify Users: Those who frequently like songs on Spotify and want to automate the process of maintaining a playlist of their liked tracks.
- Automation Lovers: Individuals who seek to streamline their music management without manual intervention.
- Developers: Tech-savvy users who are familiar with n8n and want to build upon or modify existing workflows for personal use.
This workflow addresses the challenge of managing a Spotify playlist by:
- Automating Playlist Creation: It automatically creates a playlist named "Downloads" if it doesn't already exist.
- Maintaining a Limit: Users can define a limit (up to 50 tracks) for the number of songs in the playlist, ensuring it doesn't become overcrowded.
- Filtering New Tracks: The workflow checks for newly liked tracks and only adds those that are not already in the playlist, preventing duplicates.
- Removing Old Tracks: It ensures that once the limit is reached, the oldest tracks are removed, keeping the playlist fresh and relevant.
Users can customize this workflow by:
- Adjusting the Download Limit: Modify the download_limit
variable in the Globals step to set a different maximum number of tracks in the playlist.
- Changing the Playlist Name: Update the name parameter in the Create Downloads Playlist step to use a different name for the playlist.
- Modifying the Schedule: Adjust the schedule trigger settings to change how often the workflow runs (e.g., daily, weekly).
- Adding Additional Filters: Users can add more conditions in the filtering steps to refine which tracks get added or removed based on their preferences.