This comprehensive n8n workflow automates the process of archiving Spotify liked tracks into Google Sheets and classifying them into appropriate playlists using AI. It fetches user playlists and tracks, retrieves detailed audio features via Spotify API, and checks for existing logged tracks to avoid duplicates. Leveraging AI classification, it assigns tracks to multiple curated playlists based on their musical features, then updates Spotify playlists accordingly. The workflow is ideal for music enthusiasts who want to maintain an organized, historical record of their listening habits and generate AI-driven playlist suggestions. It involves services like Spotify API, Google Sheets, and AI language models, with scheduled or manual triggers for seamless automation. This workflow is practical for users wanting continual music curation, archival, and intelligent playlist management.
Automated Spotify Tracks Archiving & Playlist Classification
Node Count | >20 Nodes |
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Nodes Used | @n8n/n8n-nodes-langchain.chainLlm, @n8n/n8n-nodes-langchain.lmChatAnthropic, @n8n/n8n-nodes-langchain.outputParserStructured, code, filter, googleSheets, httpRequest, limit, merge, noOp, scheduleTrigger, set, splitOut, spotify, stickyNote |
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