Automated Monthly Spotify Track Archiving and Playlist Classification

Overview

This workflow automates the monthly process of archiving Spotify tracks and classifying playlists using AI-driven analysis. It leverages Spotify's API and integrates with Anthropic's language model for intelligent playlist categorization.

Key Features

• Retrieves and batches Spotify track and playlist data
• Uses AI (Anthropic Chat Model) for advanced playlist classification
• Parses and structures output for easy downstream processing
• Filters and organizes playlists based on custom criteria

Benefits

• Saves significant manual effort in playlist management
• Ensures consistent, accurate classification using AI
• Enables scalable archiving and organization of large music libraries
• Reduces errors and improves data quality

Use Cases

• Music curators and content managers seeking automated playlist organization
• Businesses or individuals archiving monthly listening history
• Enhanced music analytics and reporting

Integrations & Automation

• Spotify API for track and playlist data
• Anthropic language model for classification
• Automated data parsing, filtering, and structuring

Business Value

This workflow streamlines music data management, freeing up time and ensuring reliable, AI-powered playlist insights.