letterboxd-list-toolkit is a Python package that enables users to build reproducible datasets from Letterboxd movie lists. It features resilient scraping, list algebra operations, filtering, validation, and auditable CSV exports. Primarily intended for developers, data analysts, and film enthusiasts who work with movie-watching data.
letterboxd-list-toolkit sits in PulseGate's Other dev tools category. It focuses on creating reproducible, auditable datasets from Letterboxd movie lists without manual scraping and cleaning. letterboxd-list-toolkit is an open-source project aimed at data analysts and film enthusiasts. The project is open source (MIT). letterboxd-list-toolkit is available on the command line.
It is developed by danyelbarboza, and the product first shipped in 2026. The project is developed in the open on GitHub with 6 commits in the last 90 days. Among its 5 catalogued features are web scraping, list algebra, and data filtering.
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