CompareDatasets Automate

This workflow is ideal for:

• Music Curators: Individuals who manage playlists on Spotify and YouTube, seeking to keep their playlists updated without duplicates.
• Content Creators: YouTubers who want to promote their music content on Spotify seamlessly.
• Music Enthusiasts: Anyone who enjoys creating personalized playlists and wants to synchronize their music across platforms.
• Data Analysts: Users interested in comparing datasets to enhance their music collections and ensure they have the latest tracks.

This workflow addresses the challenge of duplicating tracks when syncing playlists between Spotify and YouTube. It automates the process of comparing tracks from a YouTube playlist against a Spotify playlist, ensuring that only new tracks are added, thereby maintaining a clean and organized playlist without redundancy.

1. Manual Trigger: The workflow begins when the user clicks ‘Test workflow’.
2. Get YouTube Tracks: It retrieves all tracks from a specified YouTube playlist.
3. Get Spotify Tracks: It fetches all tracks from a designated Spotify playlist.
4. Batch Processing: The workflow processes the retrieved YouTube tracks in batches for efficient handling.
5. Extract Track IDs: For each track, it extracts the Spotify track ID and the YouTube track ID.
6. Search on Spotify: The workflow searches for each YouTube track on Spotify to find corresponding Spotify track IDs.
7. Compare Datasets: It compares the existing Spotify tracks with the new YouTube tracks to identify which ones are not already in the Spotify playlist.
8. Add New Tracks: Finally, it adds the new tracks to the Spotify playlist that are not already present, ensuring the playlist is updated with fresh content.