Automated Spotify Track Archiving & Playlist Classification Workflow

This n8n workflow automates the process of archiving monthly Spotify liked tracks into Google Sheets with detailed categorization. It fetches user playlists and tracks, retrieves audio features via Spotify API, and logs new tracks. The workflow then employs an AI model to classify tracks into multiple playlists based on characteristics like genre, mood, and tempo. It updates playlists accordingly, ensuring thorough organization and historical tracking of listening habits.

Starting with a schedule trigger, the workflow retrieves user playlists and library tracks. It filters tracks not previously logged, fetches their detailed audio features, and stores this data in Google Sheets. The workflow then uses AI to analyze each track and classify it into suitable playlists, which are subsequently updated automatically. This setup is particularly useful for music enthusiasts and content creators seeking systematic organization of their listening history and playlist management, saving time and enhancing music curation.