Movies & Entertainment Data, Delivered Clean · Head-to-head
The Movie Database (TMDB) API v3 vs OMDb API - The Open Movie Database
Which movies & entertainment data, delivered clean data fits your job: The Movie Database API v3, or OMDb API - The Open Movie Database. API, files, or your warehouse. Daily, weekly, or hourly.
The Movie Database (TMDB) API v3
OMDb API - The Open Movie Database
Where the fields line up
No shared field names. These two answer different questions.
| Field | The Movie Database API v3 | OMDb API - The Open Movie Database |
|---|---|---|
id | Native numeric identifier for the movie, show, person or other object. | not in this set |
imdb_id | Crosswalk to the tt-prefixed IMDb identifier where one exists. | not in this set |
title / original_title / original_language | Localized display title, title in the original language, and ISO code of that language. | not in this set |
overview | Plot synopsis text. | not in this set |
tagline | Marketing tagline. | not in this set |
budget / revenue | Production budget and worldwide gross in US dollars as recorded by contributors. | not in this set |
genres | Array of {id, name} genre objects. | not in this set |
release_date / runtime / status | Theatrical release date, runtime in minutes, and release status. | not in this set |
poster_path / backdrop_path | Relative image paths resolved against a configured base URL and size token. | not in this set |
production_companies / production_countries / spoken_languages / origin_country | Arrays describing participating companies, countries (iso_3166_1) and languages (iso_639_1). | not in this set |
belongs_to_collection | Franchise/collection reference with id, name and artwork paths. | not in this set |
homepage / video | Official website and a boolean flag for whether a primary trailer exists. | not in this set |
Coverage, side by side
| The Movie Database API v3 | OMDb API - The Open Movie Database | |
|---|---|---|
| Geographic | Global; titles localized into dozens of translation languages | Global; titles indexed by IMDb identifier |
| Temporal | Full film/TV history through current releases, present tense only | Earliest IMDb-era titles through current releases, present tense only |
What each contains
Pick by fit, not by loyalty.
| The Movie Database API v3 | OMDb API - The Open Movie Database | |
|---|---|---|
| Publisher | The Movie Database (operated by TiVo Platform Technologies LLC) | OMDb (community-contributed) |
| Subject lens | Production metadata per title: budget, revenue, genres, collections, companies, artwork, popularity | Reception card per title: multi-source ratings, Metascore, awards, box office, plot, poster |
| Verified example width | 26 fields on the movie-detail example | 25 fields on the title response |
| Field dictionary | 14 documented field groups | 19 documented field entries |
| Geographic coverage | Global; titles localized into dozens of translation languages | Global; titles indexed by IMDb identifier |
| Temporal coverage | Full film/TV history through current releases, present tense only | Earliest IMDb-era titles through current releases, present tense only |
| Object types | Movie, TV series/season/episode, person, collection, network, keyword, production company | Movie, series, episode via Type, with Season/Episode drill-down |
| Distribution signal | Popularity metric plus vote_average/vote_count | imdbRating, imdbVotes, Metascore, Rotten Tomatoes via Ratings array |
| Best for | Franchise economics, TV footprints, discovery across 30+ filters | Per-title verdict panels, awards text, box office |
What each does better
The Movie Database API v3
Scale and structural depth. Roughly one million movies, two million TV seasons' worth of episode data and millions of people records - and not only movies: the catalog spans seven object types (movie, TV series, person, collection, network, keyword, production company), so casts, crews and franchises are first-class citizens rather than text blobs.
Money as numbers, proven with a row. The verified record reads: id 11, Star Wars, budget 11,000,000 US dollars, genres Adventure and Action, filed under the Star Wars Collection. Integer budget and revenue roll up cleanly through belongs_to_collection, which turns franchise economics into a group-by rather than a parsing exercise (weekly gross context lives separately in the weekend box office chart).
Query leverage. The discover surface exposes over 30 filters and sort options for movie and TV alike, one call can be widened with up to 20 sub-resources via append_to_response, TV gets dedicated series/season/episode records with images at every level, and titles localize into dozens of translation languages.
OMDb API - The Open Movie Database
Reception, pre-aggregated in one read. Where TMDB gives you its own community's verdict, OMDb hands over the whole judging panel: a Ratings array pairing Internet Movie Database, Rotten Tomatoes and Metascore sources with their values, Metascore isolated on its own (95 for The Social Network), imdbRating and imdbVotes adding the crowd view (7.8 from 812,001), and an Awards field that summarizes honors in plain text - Won 3 Oscars. 174 wins & 188 nominations total.
Commerce and release trivia ride along. Domestic BoxOffice arrives in the same row ($96,962,694 for that title), beside DVD, Production and Website fields the TMDB verified example simply does not carry.
Three lookup shapes for three jobs: pin one title by its identifier, match by title plus year, or sweep search results across up to 100 pages - with Season and Episode parameters drilling down to a single episode of a series. Its poster service alone advertises over 280,000 images at resolutions up to 2000x3000.
Where they're equivalent
More than the field counts suggest. Both dictionaries were verified during research. Both catalogs are community products - TMDB's records are written by its member base, and OMDb states plainly that all content and images are contributed and maintained by users. Both index the whole planet: TMDB localizes into dozens of languages, OMDb reaches titles wherever an IMDb identifier exists.
Both are present-tense catalogs - neither retains historical snapshots, so any before-and-after analysis means collecting on a schedule rather than querying the past. Both distinguish movie from series from episode, both return structured JSON, and both sit at the top of their slice: 10/10 and 9/10 on the Datadory rubric, where the other twelve Movies & Entertainment datasets average 7.6.
The verdict
Verdict: sample both, pick by fit - these are instruments pointed at different halves of the same filmography.
Anything that starts "how many" or "how much" lands here.
Anything that starts "how well was it received" lands here. Production questions go to TMDB, reception questions go to OMDb, and either way request a sample first - ten rows will tell you which dictionary speaks your schema.
Sample both, pick by fit. See The Movie Database API v3 · See OMDb API - The Open Movie Database
Or take both in one feed
Yes - and the seam barely shows, because both dictionaries carry an IMDb identifier. Profile the slate on the TMDB side: what each film spent, who made it, which franchise it belongs to, how its TV footprint extends it. Then staple the reception card on per title: multi-source ratings, Metascore, awards text, box office.
Three alignment rules keep the merge honest. Normalize TMDB's integer dollars against OMDb's formatted currency strings before aggregating. Treat TMDB popularity as a platform-specific score and never average it with imdbRating. Reconcile the maturity models - boolean adult versus printed Rated certificates - before any content filter trusts either. With those settled, delivered daily, weekly, or hourly - your call - the pair becomes one title-level fact base recording both what a film spent and what the world decided it was worth. Or take both in one feed.
API, files, or your warehouse. Daily, weekly, or hourly.
Fair questions
Do TMDB and OMDb cover the same movies?
Largely, and both globally - but not the same universe. Both span full film history through current releases and both carry an IMDb identifier, so nearly any title in one exists in the other. TMDB extends outward to TV series, seasons, episodes, people, collections, networks and companies; OMDb stays title-centric and drills to episodes only through Season and Episode parameters. Overlap on movies, divergence on everything around them.
Which dataset documents more fields per title?
Near parity, different kinds of width. The verified TMDB movie example carries 26 fields; the verified OMDb title response carries 25. In dictionary terms that is 14 field groups versus 19 entries, because OMDb spells credits out field by field. What actually separates them is kind, not count: TMDB spends its width on budget, revenue, collections and TV structure, OMDb on ratings panels, awards, DVD, production company and website.
Which dataset should a film-analytics project sample first?
Start with TMDB to establish structure: budgets and revenues by genre and franchise, TV footprints, discovery queries across 30-plus filters to define the cohort. Then attach OMDb per title for the reception layer - multi-source ratings, Metascore, awards text, box office. Because both sides carry the IMDb identifier, the join is one column wide. Sample ten rows of each before committing.
Can Datadory deliver TMDB and OMDb data together?
Yes - alone or merged onto one title list along the IMDb crosswalk, delivered daily, weekly, or hourly, your call. Each arrives normalized to its documented dictionary with sample rows to inspect before anything ships, and the merge notes that matter come included: integer-versus-string money, popularity versus rating scales, and reconciling adult flags with Rated certificates.