Rotten Tomatoes Movies & TV Data

It is the review aggregator's catalog turned inside out: every title that has ever earned a percentage, with both scores and everything behind them. Rotten Tomatoes rates movies and television on two axes - the Tomatometer, defined as "the percentage of professional critic reviews that are positive for a given film or television show," and the Popcornmeter, scored by verified ticket-buying and viewing audiences.

Each title record carries more than the headline number. A current-release example shows the shape: a 94 Tomatometer resting on 499 counted critic reviews, a 97 Popcornmeter backed by an average audience rating of 4.8 out of 5 and like/dislike counts in the tens of thousands, banded display figures such as "25,000+ Verified Ratings," sentiment labels and Certified Fresh flags on both sides. Around the scores sit the descriptive layer - advisory rating, genre list, synopsis, trailer, director, producers and a cast array with celebrity-page references.

Titles live at /m/{slug} for movies and /tv/{slug}/s{season} for TV seasons, so a long-running series resolves per season rather than per show. The catalog spans current releases and a deep back catalog, and homepage rails plus browse charts surface hundreds of titles at a time: new theatrical releases, popular streaming movies, coming soon, Top 10 Box Office, Latest Certified Fresh and weekly staff picks. Datadory normalizes all of it into title-level records in your movies & entertainment base - see best movies & entertainment datasets for how this collection stacks against the others.

One row per title - per season, for TV. The leading record, a current theatrical release:

# one row per movie or TV title, per season for TV
# leading record shown: a current theatrical release
title                  : The Odyssey (2026)
title_path             : /m/the_odyssey_2026
tomatometer            : 94
critic_review_count    : 499
popcornmeter_verified  : 97
audience_avg_rating    : 4.8
audience_liked_count   : 28382
audience_notliked_ct   : 981
content_rating         : R
genres                 : Adventure | Action | Fantasy
director               : Christopher Nolan
cast                   : Matt Damon; Tom Holland; Anne Hathaway;
                         Robert Pattinson; Lupita Nyong'o
certified_flags        : critics_certified=true audience_certified=true

# the same title continues with its scorecard detail rows:
# one row per critic review listing under the aggregate, and
# banded audience-rating counts ('25,000+ Verified Ratings')
# alongside them, joined by the title path

The pattern worth noticing: both score families sit on the same row as the creative credits, so a single table answers critics and crowds at once without a join. Aggregate scores fan out to per-review listings underneath, which means counting rows means counting review listings, not counting titles - aggregate by title path first. Rows reflect the August 2026 review pass; a fresh pull arrives current to the day it ships.

Seventeen fields complete the core schema, verified against live title-page output during the research pass:

• tomatometer_score and critic_review_count - the critics' percentage and the number of reviews behind it.
• popcornmeter_score, audience_average_rating, audience_liked_count and audience_not_liked_count - the audience side, including verified-audience distinctions and raw like/dislike volume.
• verified_ratings_band - the banded display figure such as "25,000+ Verified Ratings."
• certified_fresh_flag - whether the critics' side currently carries the Certified Fresh designation.
• cast, director and producer - creative credits with person names and celebrity-page references.
• genres and content_rating - the classification layer, e.g. Adventure/Action/Fantasy at rating R.
• release_date_created, synopsis and trailer - catalog metadata and promo media.
• title_path - the canonical /m/{slug} or /tv/{slug}/s{season} locator, the join key back to the source universe.

Full definitions and examples appear in the field dictionary below. Where a field needs more depth than the core schema carries, extra columns fold out at sample request rather than bloating every delivery.

Geographically, coverage follows the US-centric pool of approved critics and the theatrical and streaming releases they review, which makes the scores directly comparable across the whole catalog rather than regionally fragmented.

Temporally, the catalog holds current releases alongside a deep back catalog of movies and TV, and scores move as reviews and ratings arrive - opening-weekend titles and decades-old catalog entries sit in the same schema.

At grain, one record covers one movie or one TV season, each carrying aggregated scores plus per-critic-review listings underneath. That depth is why the same title can support both a headline-score analysis and a reviewer-level one from a single collection.

Rotten Tomatoes supplies the critical-and-audience consensus layer. Pair it and the picture completes:

• Box Office Mojo adds the commercial outcome - grosses over time - so consensus can be read against revenue. See Box Office Mojo and the direct head-to-head in Box Office Mojo vs Rotten Tomatoes Movies & TV.
• JustWatch Streaming Guide adds where each title watches today, turning score tables into availability-aware ones. See JustWatch Streaming Guide.
• MovieLens-style corpora add user-generated ratings at individual level when behavioral modeling needs interactions, not aggregates.
• US government movie-tagged datasets add public-sector film records for grant-funded and archival work. See Data.gov movies-tagged datasets.

Join key in every pairing: the title path, which stays stable while scores move underneath.