# Rotten Tomatoes Scraper - Movie & TV Ratings (`lulzasaur/rottentomatoes-scraper`) Actor

Scrape Rotten Tomatoes movie and TV show ratings. Extract Tomatometer, audience scores, critic consensus, cast, and full metadata. Search by keyword or scrape specific URLs.

- **URL**: https://apify.com/lulzasaur/rottentomatoes-scraper.md
- **Developed by:** [lulz bot](https://apify.com/lulzasaur) (community)
- **Categories:** Other
- **Stats:** 5 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $10.00 / 1,000 results

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## Rotten Tomatoes Scraper - Movie & TV Ratings

Scrape movie and TV show ratings from [Rotten Tomatoes](https://www.rottentomatoes.com) -- the most trusted review-aggregation service for film and television.

### What it does

- **Search mode**: Search for movies and TV shows by keyword and extract full rating data
- **Details mode**: Provide direct Rotten Tomatoes URLs to scrape specific titles

Extracts data from **JSON-LD structured data** and inline score JSON embedded in each page -- no JavaScript rendering needed.

### Input Parameters

| Parameter | Type | Description |
|-----------|------|-------------|
| `mode` | string | `search` (keyword search) or `details` (direct URLs). Default: `search` |
| `searchQueries` | string\[] | Search keywords (e.g. "inception", "breaking bad"). Used in search mode |
| `startUrls` | array | List of rottentomatoes.com URLs. Used in details mode |
| `limit` | integer | Max number of results. Default: 10, max: 1000 |
| `proxyConfiguration` | object | Proxy settings (residential recommended) |

### Output Fields

Each result contains:

| Field | Type | Description |
|-------|------|-------------|
| `title` | string | Movie or TV show title |
| `year` | integer | Release year |
| `tomatoMeter` | integer | Tomatometer (critics) score as percentage |
| `audienceScore` | integer | Audience score as percentage |
| `synopsis` | string | Plot summary / description |
| `genre` | string\[] | Genre list (e.g. \["Sci-Fi", "Action"]) |
| `rating` | string | Content rating (PG-13, R, TV-MA, etc.) |
| `runtime` | string | Runtime (e.g. "2h 28m") |
| `director` | string | Director name(s) |
| `cast` | string\[] | Cast member names |
| `criticsConsensus` | string | Critics consensus summary |
| `imageUrl` | string | Poster image URL |
| `url` | string | Source Rotten Tomatoes URL |
| `type` | string | "movie" or "tv" |
| `scrapedAt` | string | ISO 8601 timestamp |

### Example Output

```json
{
  "title": "Inception",
  "year": 2010,
  "tomatoMeter": 87,
  "audienceScore": 91,
  "synopsis": "Dom Cobb is a thief with the rare ability to enter people's dreams...",
  "genre": ["Sci-Fi", "Mystery & Thriller", "Action"],
  "rating": "PG-13",
  "runtime": "2h 28m",
  "director": "Christopher Nolan",
  "cast": ["Leonardo DiCaprio", "Joseph Gordon-Levitt", "Elliot Page", "Tom Hardy"],
  "criticsConsensus": "Smart, innovative, and thrilling, Inception is that rare summer blockbuster...",
  "imageUrl": "https://resizing.flixster.com/...",
  "url": "https://www.rottentomatoes.com/m/inception",
  "type": "movie",
  "scrapedAt": "2026-04-26T10:00:00.000Z"
}
```

### Example Inputs

#### Search for movies by keyword

```json
{
  "mode": "search",
  "searchQueries": ["inception", "the dark knight"],
  "limit": 20
}
```

#### Scrape specific movie URLs

```json
{
  "mode": "details",
  "startUrls": [
    { "url": "https://www.rottentomatoes.com/m/inception" },
    { "url": "https://www.rottentomatoes.com/tv/breaking_bad" }
  ]
}
```

### How it works

1. **Search mode**: Fetches the RT search page which contains SSR `<search-page-media-row>` web components with score attributes and title links. Extracts URLs, then fetches each detail page.
2. **Details mode**: Directly fetches provided URLs.
3. **Data extraction**: Each detail page has JSON-LD Movie/TVSeries schema plus inline JSON blobs containing audience scores, critics scores, synopsis, and consensus.

### Notes

- Tomatometer represents the percentage of professional critic reviews that are positive.
- Audience Score represents the percentage of audience members who rated the film/show positively.
- Search results include both movies and TV shows.
- Residential proxies recommended to avoid rate limiting.

# Actor input Schema

## `mode` (type: `string`):

Search for movies/TV by keyword, or scrape specific Rotten Tomatoes URLs directly.

## `searchQueries` (type: `array`):

List of search keywords (e.g. 'inception', 'breaking bad'). Used in search mode.

## `startUrls` (type: `array`):

List of rottentomatoes.com movie or TV URLs to scrape (e.g. https://www.rottentomatoes.com/m/inception). Used in details mode.

## `limit` (type: `integer`):

Maximum number of results to scrape.

## `proxyConfiguration` (type: `object`):

Select proxies to be used by your scraper.

## Actor input object example

```json
{
  "mode": "search",
  "searchQueries": [
    "inception"
  ],
  "startUrls": [],
  "limit": 10,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "searchQueries": [
        "inception"
    ],
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": [
            "RESIDENTIAL"
        ]
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("lulzasaur/rottentomatoes-scraper").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "searchQueries": ["inception"],
    "proxyConfiguration": {
        "useApifyProxy": True,
        "apifyProxyGroups": ["RESIDENTIAL"],
    },
}

# Run the Actor and wait for it to finish
run = client.actor("lulzasaur/rottentomatoes-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "searchQueries": [
    "inception"
  ],
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}' |
apify call lulzasaur/rottentomatoes-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,lulzasaur/rottentomatoes-scraper"
        }
    }
}

```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/6A5arC6KlAhq1zNAD/builds/AgOD9IltOnebYu1ay/openapi.json