Automated Spotify Music Categorization Workflow

This sophisticated n8n workflow automates the process of archiving, analyzing, and classifying Spotify tracks into various playlists, offering a seamless way to organize your music collection. The workflow begins with a scheduled trigger, which can also be manually initiated, and efficiently retrieves user playlists and liked tracks from Spotify. It fetches detailed audio features for each track via Spotify’s API, then consolidates this information while filtering out previously logged tracks stored in Google Sheets. Using an AI-powered classification model, it assigns tracks to relevant playlists based on characteristics like genre, mood, and style. The final step updates the playlists on Spotify by adding new tracks based on AI recommendations, ensuring your music library remains organized and up-to-date. This workflow is ideal for music enthusiasts who want an automated, ongoing system to categorize and expand their playlist collections, maintaining a structured listening experience without manual effort.