Monthly Spotify Track Archiving and AI Classification
For Spotify, this automated workflow archives your monthly liked tracks into Google Sheets, capturing essential details like track names, artists, and audio features. It filters out previously logged tracks, ensuring only new entries are recorded. The workflow classifies tracks into relevant playlists using AI, enhancing your music organization. Triggered monthly, it streamlines the process of maintaining a well-curated music library, saving you time and effort while keeping your listening history organized.
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Workflow Overview
For Spotify, this automated workflow archives your monthly liked tracks into Google Sheets, capturing essential details like track names, artists, and audio features. It filters out previously logged tracks, ensuring only new entries are recorded. The workflow classifies tracks into relevant playlists using AI, enhancing your music organization. Triggered monthly, it streamlines the process of maintaining a well-curated music library, saving you time and effort while keeping your listening history organized.
This workflow is ideal for Spotify users who want to systematically archive their listening history and organize their tracks into custom playlists. It is particularly beneficial for:
- Music Enthusiasts: Individuals who regularly listen to and collect music on Spotify.
- Content Creators: Musicians, DJs, or influencers looking to categorize their music library effectively.
- Data Analysts: Users who want to analyze their music preferences and trends over time.
- Casual Listeners: Anyone who wants to maintain a historical record of their listening habits and easily access their favorite tracks.
This workflow automates the monthly process of tracking, storing, and categorizing Spotify tracks into relevant playlists. It addresses the challenges of:
- Manual Tracking: Eliminating the tedious task of manually logging tracks into a spreadsheet.
- Playlist Management: Helping users maintain well-organized music collections and ensuring that tracks are categorized into appropriate playlists based on their characteristics.
- Historical Record Keeping: Providing a systematic way to archive listening history, making it easier to revisit favorite tracks.
- Trigger: The workflow can be initiated either manually or on a set schedule (monthly).
- Playlist Retrieval: It fetches current playlists from the user's Spotify account and filters them based on the owner.
- Track Collection: Retrieves details of liked tracks from the user's library, including track ID and popularity.
- Audio Features Fetching: Uses Spotify's API to gather audio features for each track, such as danceability and energy.
- Data Merging: Combines track information with their respective audio features for comprehensive data analysis.
- Duplicate Checking: Filters out tracks that have already been logged in Google Sheets to avoid redundancy.
- Data Logging: Archives new tracks into a Google Sheet for future reference.
- AI Classification: Utilizes an AI model to classify tracks into suitable playlists based on their characteristics.
- Playlist Updates: Adds classified tracks to the corresponding playlists, ensuring they are well-organized.