Monthly Spotify Song Archiving and Intelligent Playlist Categorization

Workflow Name

Monthly Spotify Song Archiving and Intelligent Playlist Categorization

Key Features and Highlights

• Automatically fetches user playlists and saved tracks data from Spotify
• Retrieves detailed audio features of songs via the Spotify API
• Automatically records newly added songs that are not yet archived into Google Sheets for systematic historical data storage
• Utilizes AI (Anthropic Claude 3.5 model) for multi-dimensional music style and mood analysis of new songs
• Intelligently categorizes songs into multiple personalized playlists for precise playlist content management
• Supports batch processing to improve efficiency and avoid duplicate archiving

Core Problems Addressed

Helps Spotify users automate the management and archiving of large volumes of music data, solving the tediousness and risk of omission associated with manual playlist organization. At the same time, AI-driven intelligent classification enhances playlist personalization and professionalism, making music collections more orderly and easier to retrieve.

Use Cases

• Music enthusiasts who want to systematically save their favorite songs each month and build a long-term listening archive
• Spotify users seeking automatic, feature-based intelligent classification to enrich and optimize their personal playlists
• Content creators or music curators needing to quickly organize and analyze large amounts of music data
• Users who want to leverage AI-assisted recommendation and classification to elevate the intelligence level of playlist management

Main Process Steps

1. Scheduled Trigger: Automatically start the workflow monthly (or trigger manually)
2. Fetch Spotify Playlists and Tracks: Call Spotify API to retrieve user playlists and saved tracks
3. Filter and Extract Song Information: Select target playlists and extract basic song details (title, artist, album, etc.)
4. Batch Retrieve Audio Features: Use Spotify’s audio features API to batch fetch song audio parameters (tempo, energy, danceability, etc.)
5. Data Merging and Deduplication: Combine song info with audio features and exclude songs already archived
6. Archive New Songs to Google Sheets: Append new song data to a Google Sheets spreadsheet
7. AI Classification Analysis: Invoke Anthropic Claude 3.5 model for in-depth analysis and multi-playlist categorization of new songs
8. Batch Update Spotify Playlists: Add songs to corresponding Spotify playlists based on AI classification results
9. Manual Verification (Optional): Provide merged data to assist manual review ensuring classification accuracy

Involved Systems and Services

• Spotify API: For retrieving user playlists, track information, and audio features
• Google Sheets: Serves as the archival database for songs and playlist information
• Anthropic Claude 3.5 AI Model: Performs intelligent classification of music styles and moods
• n8n Automation Platform: Enables automated scheduling and data workflow orchestration

Target Users and Value

• Individual Spotify users, especially those with large music collections who prefer systematic music library management
• Music content planners and DJs who need to quickly organize and categorize tracks
• Music lovers seeking AI-enhanced playlist personalization and classification accuracy
• Users wanting to regularly back up and track their listening history

This workflow significantly reduces the time and effort required for manual song organization and archiving. By leveraging AI, it enables smarter playlist maintenance, allowing users to better enjoy personalized music experiences and convenient historical data management.