# IMDb Scraper - Movie & TV Search (`longanimous_bracken/imdb-scraper`) Actor Scrape movie and TV show data from IMDb - titles, ratings, cast, genres, descriptions, and more - **URL**: https://apify.com/longanimous\_bracken/imdb-scraper.md - **Developed by:** [petteri mähönen](https://apify.com/longanimous_bracken) (community) - **Categories:** Developer tools, Automation - **Stats:** 2 total users, 1 monthly users, 0.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## 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/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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 ## TMDB Movie & TV Search Search movies and TV shows via The Movie Database (TMDB) API. Returns titles, ratings, cast, genres, plots, posters, and more — no browser automation needed. ### Features - **Fast & reliable** — pure API calls, no scraping, no anti-bot issues - **Search or discover** — keyword search or browse by genre/sort - **Rich detail** — cast, directors, writers, plot, runtime, budget, revenue, Metascore - **IMDb ID mapping** — every result includes the linked IMDb ID - **Pagination** — automatically fetches up to `maxResults` - **Low cost** — runs on 256MB RAM tier (~$0.10 per 50 results) - **Free API** — TMDB gives 4000 requests/hour on the free tier ### Input | Field | Type | Default | Description | |-------|------|---------|-------------| | `tmdbApiKey` | string | `""` | **Required** — free key from https://www.themoviedb.org/settings/api | | `searchQuery` | string | `""` | Search term (leave empty for top results by genre) | | `titleType` | string | `"movie"` | Content type: `movie`, `tvSeries` | | `genres` | string[] | `[]` | Filter by genre(s): action, comedy, drama, horror, sci_fi, etc. | | `sort` | string | `"popularity"` | popularity, user_rating, boxoffice, release_date, alphabetical | | `yearRange` | string | `""` | Year filter (e.g., "2020-", "2010,2020", "1990-2000") | | `maxResults` | integer | `50` | Max results (20 per API page) | | `fetchDetails` | boolean | `true` | Fetch full details (cast, directors, plot, etc.) | | `language` | string | `"en-US"` | Response language code | ### Output | Field | Source | Description | |-------|--------|-------------| | `title` | Search | Movie/TV show title | | `title_id` | System | `tmdb_{type}_{id}` | | `tmdb_id` | Search | TMDB ID | | `imdb_id` | Detail | Linked IMDb ID (ttXXXXXXX) | | `year` | Search | Release year | | `imdb_rating` | Search | TMDB user rating (0-10) | | `num_votes` | Search | Number of votes | | `genres` | Search | Genres array | | `runtime` | Detail | Runtime string (e.g., "2h 18m") | | `metascore` | Detail | Metacritic score | | `poster_url` | Search | Full-size poster URL | | `plot` | Detail | Full plot summary | | `cast` | Detail | Top 10 cast members | | `directors` | Detail | Director names | | `writers` | Detail | Writer/creator names | | `budget` | Detail | Production budget (USD) | | `revenue` | Detail | Box office revenue (USD) | | `languages` | Detail | Spoken languages | | `source` | System | Always "tmdb" | | `scraped_at` | System | ISO timestamp | ### Example ```json { "tmdbApiKey": "your-api-key-here", "searchQuery": "", "genres": ["action", "sci_fi"], "sort": "boxoffice", "maxResults": 50, "fetchDetails": true } ```` ### Pricing | Tier | RAM | Cost per 50 results | |------|-----|-------------------| | Free | 256MB | ~$0.10 | | Hobby | 512MB | ~$0.08 | | Starter | 2GB | ~$0.05 | ### Notes - TMDB API key is free and instant — no review needed - 4000 requests/hour is plenty (50 results with details = ~150 requests) - TMDB ratings are user-submitted and often correlate with IMDb - Poster URLs point to TMDB CDN (fast, global) # Actor input Schema ## `tmdbApiKey` (type: `string`): Your free TMDB API key — get one at https://www.themoviedb.org/settings/api ## `searchQuery` (type: `string`): Search term (e.g., 'action', 'Marvel', 'Christopher Nolan'). Leave empty for top results by genre. ## `titleType` (type: `string`): Type of content to search ## `genres` (type: `array`): Filter by genre(s) — action, comedy, drama, horror, sci\_fi, thriller, romance, fantasy, etc. ## `sort` (type: `string`): Sort results by ## `yearRange` (type: `string`): Filter by year range (e.g., '2020-', '2010,2020', '1990-2000') ## `maxResults` (type: `integer`): Maximum number of results to return (0 = no limit, 20 per page) ## `fetchDetails` (type: `boolean`): Fetch full details for each result (cast, directors, plot, runtime, budget, etc.) ## `language` (type: `string`): Response language code (e.g., 'en-US', 'fi-FI', 'sv-SE') ## Actor input object example ```json { "tmdbApiKey": "", "searchQuery": "", "titleType": "movie", "sort": "popularity", "maxResults": 50, "fetchDetails": true, "language": "en-US" } ``` # 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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("longanimous_bracken/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 = {} # Run the Actor and wait for it to finish run = client.actor("longanimous_bracken/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 '{}' | apify call longanimous_bracken/imdb-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=longanimous_bracken/imdb-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "IMDb Scraper - Movie & TV Search", "description": "Scrape movie and TV show data from IMDb - titles, ratings, cast, genres, descriptions, and more", "version": "0.0", "x-build-id": "NT8dW8pE7TufOpaOG" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/longanimous_bracken~imdb-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-longanimous_bracken-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/longanimous_bracken~imdb-scraper/runs": { "post": { "operationId": "runs-sync-longanimous_bracken-imdb-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/longanimous_bracken~imdb-scraper/run-sync": { "post": { "operationId": "run-sync-longanimous_bracken-imdb-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "tmdbApiKey": { "title": "TMDB API Key", "type": "string", "description": "Your free TMDB API key — get one at https://www.themoviedb.org/settings/api", "default": "" }, "searchQuery": { "title": "Search Query", "type": "string", "description": "Search term (e.g., 'action', 'Marvel', 'Christopher Nolan'). Leave empty for top results by genre.", "default": "" }, "titleType": { "title": "Title Type", "enum": [ "movie", "tvSeries" ], "type": "string", "description": "Type of content to search", "default": "movie" }, "genres": { "title": "Genres", "type": "array", "description": "Filter by genre(s) — action, comedy, drama, horror, sci_fi, thriller, romance, fantasy, etc.", "items": { "type": "string" } }, "sort": { "title": "Sort By", "enum": [ "popularity", "user_rating", "boxoffice", "release_date", "alphabetical" ], "type": "string", "description": "Sort results by", "default": "popularity" }, "yearRange": { "title": "Year Range", "type": "string", "description": "Filter by year range (e.g., '2020-', '2010,2020', '1990-2000')" }, "maxResults": { "title": "Max Results", "minimum": 0, "maximum": 10000, "type": "integer", "description": "Maximum number of results to return (0 = no limit, 20 per page)", "default": 50 }, "fetchDetails": { "title": "Fetch Detail Pages", "type": "boolean", "description": "Fetch full details for each result (cast, directors, plot, runtime, budget, etc.)", "default": true }, "language": { "title": "Language", "type": "string", "description": "Response language code (e.g., 'en-US', 'fi-FI', 'sv-SE')", "default": "en-US" } } }, "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 } } } } } } } } } } ```