# Rotten Tomatoes Reviews Scraper (`plowdata/rotten-tomatoes-reviews-scraper`) Actor Scrape Rotten Tomatoes critic and audience reviews from movie pages. Export quotes, star ratings, sentiment, publication metadata, verified flags, reaction counts, and raw API data without proxies. - **URL**: https://apify.com/plowdata/rotten-tomatoes-reviews-scraper.md - **Developed by:** [Frederic](https://apify.com/plowdata) (community) - **Categories:** Automation, Developer tools, AI - **Stats:** 2 total users, 1 monthly users, 0.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $1.00 / 1,000 reviews This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. 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. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use 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 Reviews Scraper Scrape Rotten Tomatoes reviews from movie pages and export structured critic and audience review data. This Actor extracts critic quotes, audience ratings, sentiment, publication metadata, verified audience flags, Top Critic indicators, reaction counts, source URLs, movie IDs, and the raw API response for full traceability. Use it to build movie review datasets, compare critic and audience reception, run sentiment analysis, monitor film reception over time, or feed review text into NLP and recommendation systems. Paste one or more Rotten Tomatoes movie URLs, choose critic reviews, audience reviews, or both, and run the scraper. Pagination is handled automatically, and no proxies are required in normal use. Great for: - 🎬 Film sentiment analysis & critic vs. audience divergence studies - 📊 Entertainment market research & trend tracking - 🤖 Training review classification or NLP models - 🧬 Academic research on critical reception ### 🔍 What data do you get? | Data type | Description | |:----------------:|:---------------------------------------------------------------------------------------------:| | Critic reviews | Quote, score, sentiment, publication, critic profile, top critic flags, reaction counts | | Audience reviews | Rating (star-based), review text, verified status, super reviewer flag, reaction counts | | Provenance | Source URL, movie ID, scrape timestamp – for traceability and deduplication | ### 🔋 Why use this scraper? - ⚡ **No proxies needed**: Works directly on shared IPs – no extra cost, no setup - 🎭 **Both review types**: Critic and audience reviews in one run, with a unified output schema - 🔍 **Granular filters**: Top critics only, verified audience only, date ranges - ⚙️ **Typed output**: Schema-validated with a full `raw` field for complete fidelity - 🔢 **Pagination handled**: Fetches all pages automatically, or stops at your configured limit - 🚀 **Multi-format export**: CSV, JSON, Excel, XML, and more via the Apify platform ### ✏️ Input fields - `urls` (required) – List of Rotten Tomatoes movie URLs, e.g. `https://www.rottentomatoes.com/m/inception` - `reviewType` (optional) – `critic`, `audience`, or `both` (default: `both`) - `maxReviewsPerMovie` (optional) – Cap on reviews per movie, applied independently to each review type - `topCriticReviewsOnly` (optional) – Only return reviews from top critics (critic reviews only) - `verifiedAudienceReviewsOnly` (optional) – Only return verified audience reviews (audience reviews only) ### 🔧 Output format All reviews are emitted into a single dataset with a unified schema. The `type` field distinguishes critic from audience reviews. A `raw` field contains the full, unmodified API response for each review. #### Shared fields (all reviews) ```json { "id": "abc123", "type": "critic", "createDate": "2024-03-15T10:22:00.000Z", "text": "A masterclass in tension and restraint.", "sentiment": "POSITIVE", "authorDisplayName": "Jane Smith", "authorInitials": "JS", "authorImageUrl": "https://...", "authorIsVerified": true, "reactionTotalCount": 42, "isTop": true, "provenance": { "sourceUrl": "https://www.rottentomatoes.com/m/inception", "movieId": "emsid_abc123", "scrapedAt": "2025-05-06T08:00:00.000Z" }, "raw": { ... } } ```` #### Critic-only fields (in `raw`) ```json { "reviewId": "abc123", "originalScore": "4/5", "scoreSentiment": "POSITIVE", "isTopReview": true, "publicationReviewUrl": "https://somepublication.com/review/inception", "reviewQuote": "A masterclass in tension and restraint.", "language": "en", "critic": { "displayName": "Jane Smith", "isTopCritic": true, "tomatometerApproved": true, "rottenTomatoesUrl": "https://www.rottentomatoes.com/critics/jane-smith" }, "publication": { "name": "Some Publication", "isTopPublication": true, "tomatometerApproved": true }, "reactionSummary": { "reactions": [{ "reaction": "HELPFUL", "count": 38 }], "totalCount": 42 } } ``` #### Audience-only fields (in `raw`) ```json { "ratingId": "xyz789", "rating": "STAR_4_5", "review": "One of the best films I've seen in years.", "isVerified": true, "isSuperReviewer": false, "hasSpoilers": false, "hasProfanity": false, "user": { "displayName": "MovieFan99", "realm": "rotten_tomatoes", "profileHandle": "moviefan99" }, "reactionSummary": { "reactions": [{ "reaction": "HELPFUL", "count": 5 }], "totalCount": 5 }, "audienceScore": { "isActivelyModerated": false } } ``` #### Sentiment normalization - **Critic reviews**: `sentiment` is provided directly by Rotten Tomatoes (`POSITIVE` / `NEGATIVE`) - **Audience reviews**: `sentiment` is inferred from the star rating - 3 stars and above maps to `POSITIVE` ### 👤 Who is it for? - 🔬 **Data scientists & NLP researchers** – Sentiment analysis, critic vs. audience divergence, review embedding datasets - 🎓 **Film studies academics** – Reception history, publication bias, critical consensus tracking - 💻 **Developers** – Feed structured review data into recommendation engines or content platforms - 📈 **Entertainment analysts** – Track critical momentum around releases across time *** Built with ❤️ and a healthy appreciation for the Tomatometer. Questions or broken URLs? Drop us a message – we actively maintain this actor. # Actor input Schema ## `urls` (type: `array`): List of Movie URLs to scrape reviews for, e.g. https://www.rottentomatoes.com/m/inception ## `reviewType` (type: `string`): Selects the type of reviews to scrape, can be critic, audience, or both ## `maxReviewsPerMovie` (type: `integer`): Maximum number of reviews to scrape per movie and type, applies to each review type if both are selected (e.g. when this is set to 10 and reviewType is set to both, then the scraper will return after scraping a total of 20, 10 critic and 10 audience reviews), if not specified, all reviews will be scraped ## `topCriticReviewsOnly` (type: `boolean`): Whether to scrape only top critic reviews, applicable only if reviewType includes critic, ignored otherwise ## `verifiedAudienceReviewsOnly` (type: `boolean`): Whether to scrape only verified audience reviews, applicable only if reviewType includes audience, ignored otherwise ## Actor input object example ```json { "urls": [ { "url": "https://www.rottentomatoes.com/m/inception" } ], "reviewType": "both", "topCriticReviewsOnly": false } ``` # Actor output Schema ## `reviews` (type: `string`): Individual reviews extracted from the movie page, including review text, score and author metadata. # 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 '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "urls": [ { "url": "https://www.rottentomatoes.com/m/inception" } ] }; // Run the Actor and wait for it to finish const run = await client.actor("plowdata/rotten-tomatoes-reviews-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 '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "urls": [{ "url": "https://www.rottentomatoes.com/m/inception" }] } # Run the Actor and wait for it to finish run = client.actor("plowdata/rotten-tomatoes-reviews-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "urls": [ { "url": "https://www.rottentomatoes.com/m/inception" } ] }' | apify call plowdata/rotten-tomatoes-reviews-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=plowdata/rotten-tomatoes-reviews-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Rotten Tomatoes Reviews Scraper", "description": "Scrape Rotten Tomatoes critic and audience reviews from movie pages. Export quotes, star ratings, sentiment, publication metadata, verified flags, reaction counts, and raw API data without proxies.", "version": "1.0", "x-build-id": "OceVjUBF0QqgxlaEb" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/plowdata~rotten-tomatoes-reviews-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-plowdata-rotten-tomatoes-reviews-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/plowdata~rotten-tomatoes-reviews-scraper/runs": { "post": { "operationId": "runs-sync-plowdata-rotten-tomatoes-reviews-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/plowdata~rotten-tomatoes-reviews-scraper/run-sync": { "post": { "operationId": "run-sync-plowdata-rotten-tomatoes-reviews-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "required": [ "urls", "reviewType" ], "properties": { "urls": { "title": "Movie URLs", "uniqueItems": true, "type": "array", "description": "List of Movie URLs to scrape reviews for, e.g. https://www.rottentomatoes.com/m/inception", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "reviewType": { "title": "Filter by Reviewer Type", "enum": [ "critic", "audience", "both" ], "type": "string", "description": "Selects the type of reviews to scrape, can be critic, audience, or both", "default": "both" }, "maxReviewsPerMovie": { "title": "Maximum number of reviews to scrape per movie and type", "minimum": 1, "type": "integer", "description": "Maximum number of reviews to scrape per movie and type, applies to each review type if both are selected (e.g. when this is set to 10 and reviewType is set to both, then the scraper will return after scraping a total of 20, 10 critic and 10 audience reviews), if not specified, all reviews will be scraped" }, "topCriticReviewsOnly": { "title": "Filter reviews by top-critic", "type": "boolean", "description": "Whether to scrape only top critic reviews, applicable only if reviewType includes critic, ignored otherwise", "default": false }, "verifiedAudienceReviewsOnly": { "title": "Verified audience reviews only", "type": "boolean", "description": "Whether to scrape only verified audience reviews, applicable only if reviewType includes audience, ignored otherwise" } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```