personal-data-harvester

You can collect your personal content history into a local SQLite database by using browser automation and share-sheet link intake to pull records from Douban and Bilibili into one structured place.

The best way to export Kindle and WeRead history locally is by parsing local cache files and using fallback scraping, which normalizes titles, notes, and timestamps directly into an SQLite database.

Yes, Playwright browser automation works for scraping Xiaohongshu and Douyin data by utilizing persistent sessions and health checks to reliably extract your personal records.

Yes, you can sync your scattered reading and watching records into SQLite automatically by setting up a recurring sync pipeline that normalizes titles, ratings, and statuses across platforms.

If browser automation fails when extracting personal data, the system uses fallback scraping and share-sheet link intake paths to ensure your records are still captured into the local database.

You normalize titles and ratings from multiple platforms into a local database by applying cross-platform harvesting techniques that structure diverse metadata fields into a unified SQLite format.