Rotten Tomatoes Scraper

hipersoft/rottentomatoes-scraper

Scrape Rotten Tomatoes movie and TV data: Tomatometer critics score, audience score, sentiment, title, year, genres, content rating, director, cast, description and poster. Just pass titles or URLs. One row per title as JSON, CSV or Excel.

Run this scraper →See the API call

Total users

Monthly users

Total runs

Per title scraped

$0.002

Last rebuilt

Oct 26, 2026

Overview

Pull Rotten Tomatoes movie and TV data with the Rotten Tomatoes Scraper. Pass a list of titles or URLs and export each one's Tomatometer critics score, audience score, sentiment, title, year, genres, content rating, director, cast, description and poster — one clean row per title as JSON, CSV or Excel.

Built for entertainment apps, recommendation engines, media research, dashboards and data enrichment, it turns a list of movies and shows into a structured ratings dataset.

What it does

🍅 Tomatometer & audience scores — the critics score, audience score and overall sentiment.
🎬 Movies and TV — works for both film and television titles.
🎭 Full detail — title, year, genres, content rating, director(s), producer(s) and top cast.
📝 Synopsis & poster — description and poster image.
🔗 Flexible input — plain titles (inception), slugs (/tv/the_last_of_us) or full URLs.
📤 Export anywhere — JSON, CSV or Excel, or straight into an app, sheet or dashboard.

Example output

{
  "title": "Inception",
  "year": "2010",
  "type": "Movie",
  "criticsScore": 86,
  "audienceScore": 91,
  "sentiment": "POSITIVE",
  "genres": ["Sci-Fi", "Mystery & Thriller", "Action"],
  "directors": ["Christopher Nolan"],
  "cast": ["Leonardo DiCaprio", "Joseph Gordon-Levitt", "Elliot Page"],
  "url": "https://www.rottentomatoes.com/m/inception"
}

How to use it

Add a list of movies / TV shows — titles, slugs or URLs.
Set Max titles if you want a cap.
Run, and download the results as JSON, CSV or Excel.

Input fields

Field	Description
Movies / TV shows	Titles, slugs or Rotten Tomatoes URLs. A bare title is treated as a movie.
Max titles	Maximum titles to process (0 = no limit).

Output fields

path, found, title, type, year, criticsScore, audienceScore, sentiment, aggregateRating, contentRating, genres, directors, producers, cast, description, image, url.

Popular use cases

Entertainment apps — show critics and audience scores next to titles.
Recommendation engines — enrich a catalog with ratings and genres.
Media research — compare scores across films, shows and genres.
Dashboards — track how titles are rated over time.
Data enrichment — add ratings and cast to an existing movie/TV list.

FAQ

Do I need an account or key? No. Add titles or URLs and run.

Does it cover both movies and TV? Yes — use /m/<slug> for movies and /tv/<slug> for TV, or paste full URLs. A bare title defaults to a movie.

What scores are included? The Tomatometer critics score, the audience score, and the overall sentiment, plus the structured aggregate rating.

Can I export to Excel or Google Sheets? Yes — results download as JSON, CSV or Excel and integrate with Sheets, apps and dashboards.

Structured Rotten Tomatoes ratings — critics and audience scores, genres, cast and more — clean and export-ready for entertainment apps and research.

Input

Field	Type	Description
`titles` Movies / TV shows	array	Movie or TV titles, slugs or Rotten Tomatoes URLs — e.g. 'inception', '/tv/the_last_of_us', or 'https://www.rottentomatoes.com/m/parasite_2019'. A bare title is treated as a movie slug.
`maxItems` Max titles	integer	Maximum number of titles to process (0 = no limit). Default: `0`

API

curl -X POST "https://api.apify.com/v2/acts/hipersoft~rottentomatoes-scraper/run-sync-get-dataset-items?token=$APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
  "titles": [
    "inception",
    "/tv/the_last_of_us"
  ]
}'

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("hipersoft/rottentomatoes-scraper").call(run_input={
    "titles": [
        "inception",
        "/tv/the_last_of_us"
    ]
})

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });
const run = await client.actor('hipersoft/rottentomatoes-scraper').call({
  "titles": [
    "inception",
    "/tv/the_last_of_us"
  ]
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

Pricing

Event	Price	Paid plans from
Title scraped Charged for each movie/TV title returned.	$0.002	$0.001

You pay only for what the run returns. Set a maximum cost per run and it stops cleanly at that limit.

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