Automate Your Music Scrobbling

skribidi-scrobbler is a powerful tool designed to bridge the gap between YouTube Music on iOS and Last.fm. With no native integration available, this project ensures your listening history is automatically scrobbled to Last.fm every two hours, without any manual intervention. Utilizing GitHub Actions, it operates entirely in the cloud, eliminating the need for a server or third-party services that access your Google account.

Key Features

• Fetches your top 50 recently played tracks from YouTube Music using browser cookie authentication.

• Compares new plays against the last saved snapshot to identify new tracks.

• Scrobbles new tracks to Last.fm with approximate timestamps, spaced three minutes apart.

• Commits the updated snapshot back to the repository for future runs.

This open-source project leverages Python and libraries like ytmusicapi and pylast to deliver a seamless experience. Whether you're a music enthusiast or a developer looking to contribute, skribidi-scrobbler offers a robust solution for automated music tracking.

Backgrond story: https://pqrs.in/blog/skribidi-scrobbler