#1 GroupLens Research
GroupLens MovieLens Datasets
- Grain
- Rating-event, tag-application and movie-tag genome grains, joinable on…
- Coverage
- Global rater base
Industry hub · Movies & entertainment data provider
Movies & Entertainment Data, Delivered Clean
Datadory covers movies & entertainment data provider with 14 datasets spanning GroupLens MovieLens Datasets , IMDb Non-Commercial Datasets and The Movie Database (TMDB) API v3 . Delivered daily, weekly, or hourly — your call.
14 datasets 11 publishers Delivery: API, files, or your warehouse. Daily, weekly, or hourly.
The manifest
Every catch in this slice, ranked by our quality rubric — depth of documentation, freshness, breadth. Pick one, sample it, ship it.
#2
IMDb Non-Commercial Datasets
- Coverage
- Global: all film, television, short, video and video…
#3
The Movie Database (TMDB) API v3
- Coverage
- Global catalog of movies
#4
OMDb API - The Open Movie Database
- Coverage
- Global film and television titles indexed by IMDb…
#5 British Film Institute
BFI Industry Data & Insights
- Coverage
- United Kingdom - UK box office and UK screen-sector…
#6
Rotten Tomatoes Movies & TV
- Coverage
- US-centric coverage of theatrical and streaming releases…
Plus 4 more in this slice — each with its field dictionary and sample rows on its own page.
The lay of the water
Where movies & entertainment data provider data actually comes from.
Pick your catch
Three to start with. The rest of the board is above.
Movies & entertainment data provider Global rater base · January 9, 1995 through October 12…
GroupLens MovieLens Datasets
userId · movieId · rating …+8 more
Movies & entertainment data provider Global: all film, television, short… · Titles from cinema's beginnings to…
IMDb Non-Commercial Datasets
tconst · titleType · primaryTitle …+27 more
Movies & entertainment data provider Global catalog of movies · Full film and TV history through…
The Movie Database (TMDB) API v3
id · imdb_id · title / original_title / original_language …+11 more
Movies & entertainment data provider Global film and television titles… · Titles from the earliest IMDb entries…
OMDb API - The Open Movie Database
imdbID · Title · Year …+15 more
Movies & entertainment data provider United Kingdom - UK box office and UK… · Weekly box-office reports 2017-present
BFI Industry Data & Insights
Rank · Film · Country of Origin …+7 more
Movies & entertainment data provider US-centric coverage of theatrical and… · Current releases plus a deep back…
Rotten Tomatoes Movies & TV
tomatometer_score · critic_review_count · popcornmeter_score …+14 more
Movies & entertainment data provider Global films present in the GroupLens… · Films released on or before July 2017…
Kaggle - The Movies Dataset (TMDB + MovieLens)
id / imdb_id · title / original_title · budget …+15 more
Movies & entertainment data provider United States/domestic market… · Daily grosses from the early 1980s…
Box Office Mojo
rank · release_title · gross_usd …+8 more
Movies & entertainment data provider Worldwide film releases reviewed by… · Classics through current releases
Metacritic Movie Browse
id · type · title …+16 more
Movies & entertainment data provider About 100 country editions across… · Current catalog snapshot per edition…
JustWatch Streaming Guide
title · originalReleaseYear · shortDescription …+8 more
Who fishes here
- Competitive Intelligence & Product Teams Movies & entertainment data for competitive intel product teams starts with three relevance-3 trackers: Box Office Mojo for title-level box-office moves, JustWatch for platform catalog shifts and The Numbers for studio financial comparisons.
- Data Scientists & ML Engineers
- Developers & Data-Product Builders
- Market Researchers & Consultants Movies & entertainment data for market researchers starts with three relevance-3 records: BFI Industry Data & Insights, Box Office Mojo and The Numbers.
Choosing between them
Pick by question, not by brand.
Revenue questions resolve on geography and period - the BFI versus Kaggle-bundle pairing shows how official statistics and community bundles differ in kind, and JustWatch versus Metacritic separates windowing from sentiment.
When two records overlap, the tiebreakers that matter are temporal span, grain and key hygiene - all three are printed on every product card below.
Frequently asked questions
Where does bulk movie title metadata come from?
Two corpora dominate: IMDb's seven-file set covering more than 12 million titles and 16 million people, and The Movie Database's catalog of roughly one million movies with artwork and credits in dozens of languages. OMDb wraps the same identifier space into single-title records. Datadory joins all three on shared keys.
What is the deepest movie rating dataset?
GroupLens MovieLens ml-32m: 32 million rating events from January 1995 through October 2023, plus tags and a 1.8 GB tag-genome scoring label relevance per movie. The Kaggle Movies Dataset complements it with 26 million ratings from 270,000 users joined to budget, cast and crew for 45,000 films.
How far back do box-office histories reach?
Deepest in the US: Box Office Mojo carries day-, week-, month- and year-level grosses back to the early 1980s with theater counts, and The Numbers' archive dates to 1997 with distributor market shares and per-theater averages. UK figures run through BFI's film-level weekend Top 15 from 2017.
Can you see where a movie streams, country by country?
Yes. JustWatch contributes per-title, per-country, per-provider availability records across roughly 100 country editions - hundreds of thousands of titles and several hundred providers in the US edition alone - plus popularity charts and weekly Top 10 rails for windowing and exclusivity work.
Is there a point-in-time Netflix catalog snapshot?
The Kaggle Netflix Movies and TV Shows table freezes 8,807 titles at September 2021, one row per title with type, director, cast, country, date_added, release year, maturity rating, duration, genre lists and description - the standard base for SVOD content-mix studies.
What movie data comes from government sources?
Less than you would hope: Data.gov's catalog exceeds 552,000 datasets, but its movies-tagged slice runs to single digits, city filming-location ledgers such as SF Film Locations and Chicago Movies in the Parks among them. The citable national statistics live in BFI's yearbook, with editions back to 2002.
Which critic scores pair cleanly with revenue for modelling?
Metacritic's weighted Metascores across 17,312 ranked movies and Rotten Tomatoes' Tomatometer and Popcornmeter aggregates with review counts both join to gross histories. Datadory aligns them on shared title keys, so consensus-versus-box-office studies become a column mapping rather than a fuzzy-match project.
How current does the catalog stay?
Coverage runs from cinema's beginnings through current releases, and deliveries arrive at whatever cadence your pipeline wants - daily, weekly, or hourly, your call. Snapshot vintages are labelled on every delivery (July 2017 for the 45,000-film economics bundle, September 2021 for the Netflix table) so nothing stale goes unlabelled.
See the rows before you commit
Any catch on this board, sampled against your own question. API, files, or your warehouse. Daily, weekly, or hourly..