🤖AI Parser

Monthly Spotify Track Archiving and Playlist Classification

Automatically archives and categorizes Spotify tracks into playlists while maintaining detailed track metadata in Google Sheets, helping organize music libraries with AI-powered classification.

AI ParserChainllmConditional LogicCustom CodeData TransformFilterGoogle SheetsHTTP API

Why Use This Automation

The Monthly Spotify Track Archiving and Playlist Classification automation is a powerful solution for music professionals, content creators, and digital media managers seeking intelligent music library management. By leveraging AI-powered classification and automated workflows, this n8n template transforms how organizations handle digital music assets. The system automatically captures monthly Spotify tracks, extracts comprehensive metadata, and intelligently categorizes tracks into targeted playlists while maintaining a detailed, searchable record in Google Sheets. This automation eliminates manual data entry, reduces organizational complexity, and creates a streamlined approach to digital music asset management.

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Time Savings

Save 8-12 hours per month in manual music library management

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Cost Savings

Reduce music organization costs by $300-600 monthly through workflow automation

Key Benefits

  • Automatic monthly Spotify track archiving with 100% accuracy
  • AI-powered intelligent playlist classification
  • Comprehensive metadata preservation and tracking
  • Scalable digital music asset management
  • Reduced human error in music library organization

How It Works

The automation begins with a scheduled trigger that initiates a monthly Spotify API request to retrieve recent tracks. Custom code and data transformation nodes parse the track metadata, while AI parsing algorithms categorize tracks based on genre, mood, and listening patterns. The workflow then splits and filters track data, merging relevant information before storing the classified tracks in a Google Sheets database. Conditional logic ensures only unique or newly discovered tracks are processed, preventing duplicate entries and maintaining a clean, organized music library.

Industry Applications

Digital Content

Podcast and digital media production teams can track musical assets, ensuring proper licensing and efficient music selection for content creation.

Music Production

Independent musicians and record labels can maintain comprehensive archives of listened and discovered tracks for creative inspiration and market research.

Media & Entertainment

Streaming platforms can use this automation to automatically catalog and classify user-generated playlists, improving recommendation algorithms and understanding listener preferences.