Two joinable datasets on every Academy Award-winning film since the first ceremony: 1,401 winners (award year, awards won, nominations, plus the standard movie columns: release date, director, stars, runtime, country, budget and box office in millions) and 6,344 star-per-film credits covering 3,823 unique stars, each enriched from their own article: ages at release, career spans, birthplaces, marriages and children.
7,745 rows across 2 joinable files, with 31 columns in total: Title, Award Year, Awards, Nominations, Release Date, Director, Stars, Run Time (min), Country, Budget (millions), Budget Range, Box Office (millions), Wikipedia Link, Movie Title, Movie Release Date, Star, Star Wikipedia Link, Birth Date, Age at Release, Death Date, Years From Release to Death, Year Started Acting, Year Ended Acting, Years Acting at Release, Birth City, Birth State, Birth Country, Number of Marriages, Avg Marriage Length (years), Number of Children, Age Started Acting.
It is built by programmatically scraping en.wikipedia.org, last pulled on 2026-08-31. Datasets are versioned; older versions stay downloadable.
Yes. Every CodeSights dataset is completely free as a CSV download; a free account is all it takes. Anyone can preview the data without signing in.
Yes. The exact Python scraper that built it is viewable on the dataset page by any signed-in member, so every number is reproducible.
Join the files on movie title + release date, the same key as the studio movie datasets, which these cross-join with.
Automated scraping leaves room for error and the underlying sources change over time, so no version is guaranteed accurate or complete. If a number matters, verify it against the original source.