Workflow Title

This workflow is ideal for Spotify users who want to systematically archive their listening history and organize their tracks into custom playlists. Specifically:

• Music Enthusiasts: Those who frequently discover and enjoy new music and want to keep a record of their favorites.
• Playlist Creators: Individuals looking to create curated playlists based on personal preferences or specific themes.
• Data-Driven Users: People who appreciate insights into their music preferences and wish to analyze their listening habits over time.
• Social Media Influencers: Creators who want to share their music tastes and playlists with their audience in a structured manner.

This workflow automates the monthly process of tracking, storing, and categorizing Spotify tracks into relevant playlists. It addresses the challenge of:

• Manual Archiving: Eliminating the need for users to manually log their liked tracks and playlists, saving valuable time.
• Playlist Organization: Helping users maintain well-organized music collections by automatically classifying tracks into appropriate playlists based on their characteristics.
• Historical Record Keeping: Ensuring users have a historical record of their listening habits, which can be useful for reflection or sharing with others.

1. Trigger Options: The workflow can be initiated either manually or on a set schedule (monthly).
2. Retrieve Playlists: It fetches the current playlists owned by the user to gather relevant data.
3. Get Tracks: The workflow retrieves all tracks liked by the user from their Spotify library.
4. Audio Features Fetching: It uses the Spotify API to get detailed audio features for each track, such as danceability, energy, and tempo.
5. Data Merging: The workflow merges track information with their audio features for a comprehensive dataset.
6. Duplicate Checking: It filters out tracks that have already been logged in Google Sheets to avoid redundancy.
7. Data Logging: New tracks are archived into a Google Sheet for future reference.
8. AI Classification: An AI model analyzes the tracks and classifies them into suitable playlists based on their characteristics.
9. Playlist Updates: Finally, the classified tracks are added to the corresponding playlists on Spotify.