Automated Spotify Track Archiving and Playlist Classification

This n8n workflow automates the process of tracking, archiving, and categorizing Spotify tracks into personalized playlists using AI classification. Starting with a scheduled trigger, it retrieves the user’s Spotify playlists and liked tracks, then gathers detailed audio features for each track via Spotify’s API. The data is then merged, filtered for duplicates against logged tracks in Google Sheets, and archived systematically. Using Claude 3.5 AI, the workflow classifies each track into suitable playlists based on detailed characteristics such as genre, mood, and tempo. It then updates the playlists with new tracks, ensuring organized and up-to-date music collections. This workflow is ideal for users who want to maintain a well-organized, automatically updated music catalog, combining manual review and AI-driven categorization for comprehensive music management.