# IMDb Scraper — Titles, Cast, Ratings, Reviews & Search (`khadinakbar/imdb-scraper`) Actor Scrape IMDb movies, TV shows, people, ratings, reviews, and search/discover results via a fast cookieless API. - **URL**: https://apify.com/khadinakbar/imdb-scraper.md - **Developed by:** [Khadin Akbar](https://apify.com/khadinakbar) (community) - **Categories:** Videos, MCP servers, Developer tools - **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $5.00 / 1,000 results This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. 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 # Actor input Schema ## `queries` (type: `array`): What to scrape. Accepts IMDb title IDs (e.g. 'tt1375666'), person IDs ('nm0000138'), full IMDb URLs (e.g. 'https://www.imdb.com/title/tt0903747/'), or free-text keywords ('Breaking Bad', 'Christopher Nolan'). In auto mode each item is routed automatically: tt->title, nm->person, anything else->search. NOT a CSV file path — paste the values directly. ## `mode` (type: `string`): How to interpret 'queries'. Use 'auto' (default) to detect title/person/search per item. Use 'reviews' to pull user reviews for each given title (ID, URL, or keyword resolved to its top title). Use 'discover' to ignore queries and search by the filters below (genres, titleType, year range, minRating). ## `maxResults` (type: `integer`): Upper bound on rows returned per search, discover, or reviews query (title and person lookups always return one record). Defaults to 50. Range 1-5000. Caps cost: each row is a billable result or review event. ## `genres` (type: `array`): Discover-mode genre filter. Titles must match ALL listed genres. Use IMDb genre names like 'Action', 'Drama', 'Sci-Fi', 'Comedy', 'Horror'. Ignored unless mode is 'discover' (or filters are set with no queries). ## `titleType` (type: `string`): Discover-mode type filter. Restricts results to one kind of title. Choose from the list (e.g. movie, tvSeries). Leave blank to include all types. ## `releaseYearMin` (type: `integer`): Discover-mode lower bound on release year (inclusive), e.g. 2000. Leave blank for no lower bound. Ignored outside discover mode. Pair with 'releaseYearMax' for a window. ## `releaseYearMax` (type: `integer`): Discover-mode upper bound on release year (inclusive), e.g. 2024. Leave blank for no upper bound. Ignored outside discover mode. Pair with 'releaseYearMin' for a window. ## `minRating` (type: `integer`): Discover-mode minimum aggregate IMDb rating, 1-10 (e.g. 7 keeps titles rated 7.0+). Leave blank for no rating floor. Ignored outside discover mode. Combine with genres and year range for curated lists. ## `sortBy` (type: `string`): Discover-mode result ordering. POPULARITY = current IMDb popularity (default), RATING = highest user rating first, VOTES = most-voted first, NEWEST = most recent release first. Ignored outside discover mode. ## `proxyConfiguration` (type: `object`): Proxy settings. Defaults to Apify datacenter proxy, which is sufficient for IMDb's public API. Leave as default unless you have a reason to change it. ## Actor input object example ```json { "queries": [ "tt1375666", "nm0000138", "Breaking Bad" ], "mode": "auto", "maxResults": 50, "genres": [ "Sci-Fi" ], "titleType": "", "sortBy": "POPULARITY", "proxyConfiguration": { "useApifyProxy": true } } ```` # Actor output Schema ## `results` (type: `string`): All scraped IMDb records (titles, people, reviews, search/discover rows). ## `resultsCsv` (type: `string`): Same dataset as CSV. # 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 = { "queries": [ "tt1375666", "nm0000138", "Breaking Bad" ], "genres": [ "Sci-Fi" ] }; // Run the Actor and wait for it to finish const run = await client.actor("khadinakbar/imdb-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 = { "queries": [ "tt1375666", "nm0000138", "Breaking Bad", ], "genres": ["Sci-Fi"], } # Run the Actor and wait for it to finish run = client.actor("khadinakbar/imdb-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 '{ "queries": [ "tt1375666", "nm0000138", "Breaking Bad" ], "genres": [ "Sci-Fi" ] }' | apify call khadinakbar/imdb-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=khadinakbar/imdb-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "IMDb Scraper — Titles, Cast, Ratings, Reviews & Search", "description": "Scrape IMDb movies, TV shows, people, ratings, reviews, and search/discover results via a fast cookieless API.", "version": "0.1", "x-build-id": "a6UHHR6rDJGfy2bcy" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/khadinakbar~imdb-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-khadinakbar-imdb-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/khadinakbar~imdb-scraper/runs": { "post": { "operationId": "runs-sync-khadinakbar-imdb-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/khadinakbar~imdb-scraper/run-sync": { "post": { "operationId": "run-sync-khadinakbar-imdb-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "properties": { "queries": { "title": "IMDb URLs, IDs, or keywords", "type": "array", "description": "What to scrape. Accepts IMDb title IDs (e.g. 'tt1375666'), person IDs ('nm0000138'), full IMDb URLs (e.g. 'https://www.imdb.com/title/tt0903747/'), or free-text keywords ('Breaking Bad', 'Christopher Nolan'). In auto mode each item is routed automatically: tt->title, nm->person, anything else->search. NOT a CSV file path — paste the values directly.", "items": { "type": "string" } }, "mode": { "title": "Mode", "enum": [ "auto", "title", "person", "reviews", "search", "discover" ], "type": "string", "description": "How to interpret 'queries'. Use 'auto' (default) to detect title/person/search per item. Use 'reviews' to pull user reviews for each given title (ID, URL, or keyword resolved to its top title). Use 'discover' to ignore queries and search by the filters below (genres, titleType, year range, minRating).", "default": "auto" }, "maxResults": { "title": "Max results per query", "minimum": 1, "maximum": 5000, "type": "integer", "description": "Upper bound on rows returned per search, discover, or reviews query (title and person lookups always return one record). Defaults to 50. Range 1-5000. Caps cost: each row is a billable result or review event.", "default": 50 }, "genres": { "title": "Genres (discover)", "type": "array", "description": "Discover-mode genre filter. Titles must match ALL listed genres. Use IMDb genre names like 'Action', 'Drama', 'Sci-Fi', 'Comedy', 'Horror'. Ignored unless mode is 'discover' (or filters are set with no queries).", "items": { "type": "string" } }, "titleType": { "title": "Title type (discover)", "enum": [ "", "movie", "tvSeries", "tvMiniSeries", "tvMovie", "short", "video", "videoGame", "tvSpecial" ], "type": "string", "description": "Discover-mode type filter. Restricts results to one kind of title. Choose from the list (e.g. movie, tvSeries). Leave blank to include all types.", "default": "" }, "releaseYearMin": { "title": "Release year from (discover)", "minimum": 1870, "maximum": 2100, "type": "integer", "description": "Discover-mode lower bound on release year (inclusive), e.g. 2000. Leave blank for no lower bound. Ignored outside discover mode. Pair with 'releaseYearMax' for a window." }, "releaseYearMax": { "title": "Release year to (discover)", "minimum": 1870, "maximum": 2100, "type": "integer", "description": "Discover-mode upper bound on release year (inclusive), e.g. 2024. Leave blank for no upper bound. Ignored outside discover mode. Pair with 'releaseYearMin' for a window." }, "minRating": { "title": "Minimum IMDb rating (discover)", "minimum": 1, "maximum": 10, "type": "integer", "description": "Discover-mode minimum aggregate IMDb rating, 1-10 (e.g. 7 keeps titles rated 7.0+). Leave blank for no rating floor. Ignored outside discover mode. Combine with genres and year range for curated lists." }, "sortBy": { "title": "Sort by (discover)", "enum": [ "POPULARITY", "RATING", "VOTES", "NEWEST" ], "type": "string", "description": "Discover-mode result ordering. POPULARITY = current IMDb popularity (default), RATING = highest user rating first, VOTES = most-voted first, NEWEST = most recent release first. Ignored outside discover mode.", "default": "POPULARITY" }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Proxy settings. Defaults to Apify datacenter proxy, which is sufficient for IMDb's public API. Leave as default unless you have a reason to change it.", "default": { "useApifyProxy": true } } } }, "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 } } } } } } } } } } ```