nmcassa/letterboxdpy v6.5.10

on GitHub

What's Changed

• fix(extract_movie_popular_reviews): fix rating parsing and extract review likes by @Investigamer in #189
• fix(movie_profile): add review type hints and integration test by @fastfingertips in 76d7834
• fix(list): set page size to 100 films and eliminate redundant requests by @fastfingertips in fe80024

Highlights

• List Pagination Optimization: Letterboxd lists display 100 films per page (5 columns × 20 rows). Previously, UserList used 60, causing an unnecessary extra HTTP request for any list with 60–99 films on its last page. Updated to standard FILMS_PER_PAGE = 100, eliminating redundant network requests and improving scraping performance.
• Movie Popular Reviews Fix: Fixed review rating extraction to accurately match rating classes and added review like count extraction (likes).
• Type Hints & Tests: Standardized review type hints (ReviewData, ReviewsData) across movie endpoints and added integration tests for popular reviews and list pagination.

Special Thanks

• @Investigamer: For contributing the popular review rating fix and like count extraction in #189.

Full Changelog: v6.5.9...v6.5.10