1700 Underrated Movies Discovered via Wikipedia Data Mining
2025-05-15
Tired of failing movie recommendation algorithms? A programmer spent 12 hours using Python to scrape 150GB of English Wikipedia data, uncovering over 1700 critically acclaimed films from 83 countries, spanning 19 genres, and dating back to the 1910s. Most of these movies are not featured on mainstream recommendation platforms, offering cinephiles a unique opportunity to discover hidden gems. The project is not a streaming service but provides a website listing these films; purchases include lifetime free updates.