Spotify Monthly Liked Songs Auto-Organization and Synchronization Workflow
This workflow can automatically organize and synchronize the Spotify songs that users save each month, avoiding the hassle of manual operations. Through scheduled triggers, the system creates playlists named with "Month + Year," ensuring timely updates and archiving of song information each month, thus preventing data confusion. Users can easily manage their musical preferences, making it convenient to review and share, while also supporting content creators and tech enthusiasts in achieving automated management to enhance work efficiency.
Workflow Name
Spotify Monthly Liked Songs Auto-Organization and Synchronization Workflow
Key Features and Highlights
This workflow automatically retrieves the user’s recently liked Spotify songs, checks whether these tracks already exist in the current month’s playlist and database, and if not, creates or updates the corresponding playlist and synchronizes the songs. Triggered on a scheduled basis, it maintains a dedicated playlist named by “Month + Year” every month, enabling effortless management and archiving of personal favorite music.
Core Problems Addressed
- Manual organization of Spotify liked songs is tedious and prone to omissions
- Difficulty in systematically archiving and managing favorite songs on a monthly basis
- Inconsistencies between playlists and database records causing data confusion
Use Cases
- Music enthusiasts who want to automatically archive their monthly liked songs for easy review and sharing
- Content creators or music curators needing to regularly update themed playlists
- Software developers or automation operators aiming to automate Spotify data management and backup
Main Workflow Steps
- Scheduled Trigger: Initiate the workflow at fixed intervals (e.g., every minute).
- Retrieve Current Month and Year: Generate a month label in the format like “July '24” to be used as the playlist name.
- Fetch All User Playlists and filter to find the playlist matching the current month’s name.
- Check if the Current Month Playlist Exists in Both Database and Spotify:
- If not found, automatically create the playlist and insert a corresponding record in the database.
- Retrieve the User’s 10 Most Recently Liked Songs and check each against the database:
- Insert any new songs into the database.
- Fetch Songs Already Present in the Current Month Playlist and compare with database records.
- Add Songs Present in the Database but Missing from the Spotify Playlist to the current month’s playlist, ensuring completeness.
- End Workflow and Await Next Trigger.
Involved Systems and Services
- Spotify API: For retrieving user playlists and liked songs, creating playlists, and adding tracks
- NocoDB: No-code database platform used to store playlist and song data, enabling persistent storage and querying
- n8n Scheduler: Periodically triggers the workflow to ensure automated execution
Target Users and Value Proposition
- General Music Users: Enjoy the convenience of automatic archiving without manual sorting of liked songs
- Content Operators: Automatically maintain themed playlists, improving operational efficiency
- Tech Enthusiasts and Automation Practitioners: Learn to design automated workflows integrating Spotify API with database management
- Data Management Professionals: Achieve structured management and backup of Spotify data to prevent loss
This workflow intelligently integrates Spotify’s music services with the NocoDB database to automate the archiving of liked songs and playlist maintenance, effectively saving time and effort while enhancing the music management experience.