# IMDB Scraper (`keen_doughnut/imdb-scraper`) Actor Extract movie and TV series metadata, official ratings, genres, and release tags for free. Uses official IMDb daily public datasets to stream bulk profiles safely at lightning speed with zero proxy costs, zero IP blocks, and completely memory safe. - **URL**: https://apify.com/keen\_doughnut/imdb-scraper.md - **Developed by:** [COMMON\_MAN](https://apify.com/keen_doughnut) (community) - **Categories:** E-commerce, Open source - **Stats:** 2 total users, 1 monthly users, 87.5% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $1.50 / 1,000 imdb title scrapeds 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/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 ## Free IMDb Dataset Extractor An Apify Actor designed to sync metadata, ratings, genre structures, and regional release details directly from IMDb's official public non-commercial data dumps. It operates at lightning speed without standard browser automation overhead or proxy costs. ### Features * **Zero Proxy Overheads:** Downloads zipped dataset segments directly, eliminating costly residential IP proxy requirements. * **Highly Extensible Filtering:** Filter your data pipelines seamlessly by production medium (Movies vs. TV Shows), core genres, or complex rating ranges. * **Memory-Safe Streaming:** Reads files line-by-line via streaming data pipelines to run comfortably on entry-level, cost-efficient container environments. --- ### Input Configuration Options When configuring the actor execution inside your Apify Console, the following options are available: | Field | Type | Description | |---|---|---| | **`maxItems`** | `Integer` | *Required.* Hard ceiling capping dataset storage allocations. Defaults to `100`. | | **`typeFilter`** | `String` | Target media parameters. Choose between `all` (Both), `movie` (Movies Only), or `tvSeries` (TV Series Only). | | **`genres`** | `String` | *Optional.* Comma-separated list matching standard entries (e.g., `Sci-Fi, Action, Drama`). | | **`minRating`** | `Number` | *Optional.* Only includes content scoring greater than or equal to this limit (0.0 to 10.0). | | **`maxRating`** | `Number` | *Optional.* Only includes content scoring less than or equal to this limit (0.0 to 10.0). | --- ### Output Data Structure Example Executing this pipeline yields clean, structured objects stored natively in your Apify Dataset: ```json { "imdbId": "tt0111161", "title": "The Shawshank Redemption", "type": "movie", "releaseYear": 1994, "runtimeMinutes": 142, "genres": [ "Drama" ], "rating": 9.3, "totalVotes": 2900000, "publishingEntities": [ "theatrical", "extended cut" ], "imdbUrl": "[https://www.imdb.com/title/tt0111161/](https://www.imdb.com/title/tt0111161/)" } # Actor input Schema ## `maxItems` (type: `integer`): Cap the scraper to prevent massive storage usage. ## `typeFilter` (type: `string`): Filter by Movies, TV Series, or fetch both. ## `genres` (type: `string`): Comma-separated list of genres to target (e.g., Sci-Fi,Action). Leave blank for all. ## `minRating` (type: `number`): Only include titles with an IMDb score greater than or equal to this setting (e.g., 7.0). ## `maxRating` (type: `number`): Only include titles with an IMDb score less than or equal to this setting (e.g., 5.0). ## Actor input object example ```json { "maxItems": 100, "typeFilter": "all", "genres": "" } ```` # 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("keen_doughnut/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("keen_doughnut/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 keen_doughnut/imdb-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=keen_doughnut/imdb-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "IMDB Scraper", "description": "Extract movie and TV series metadata, official ratings, genres, and release tags for free. Uses official IMDb daily public datasets to stream bulk profiles safely at lightning speed with zero proxy costs, zero IP blocks, and completely memory safe.", "version": "0.0", "x-build-id": "JRKTtJ4gWYvnqC91U" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/keen_doughnut~imdb-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-keen_doughnut-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/keen_doughnut~imdb-scraper/runs": { "post": { "operationId": "runs-sync-keen_doughnut-imdb-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/keen_doughnut~imdb-scraper/run-sync": { "post": { "operationId": "run-sync-keen_doughnut-imdb-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "required": [ "maxItems", "typeFilter" ], "properties": { "maxItems": { "title": "Maximum Titles to Fetch", "minimum": 1, "type": "integer", "description": "Cap the scraper to prevent massive storage usage.", "default": 100 }, "typeFilter": { "title": "Content Type", "enum": [ "all", "movie", "tvSeries" ], "type": "string", "description": "Filter by Movies, TV Series, or fetch both.", "default": "all" }, "genres": { "title": "Genres Filter (Optional)", "type": "string", "description": "Comma-separated list of genres to target (e.g., Sci-Fi,Action). Leave blank for all.", "default": "" }, "minRating": { "title": "Minimum IMDb Rating (Optional)", "minimum": 0, "maximum": 10, "type": "number", "description": "Only include titles with an IMDb score greater than or equal to this setting (e.g., 7.0)." }, "maxRating": { "title": "Maximum IMDb Rating (Optional)", "minimum": 0, "maximum": 10, "type": "number", "description": "Only include titles with an IMDb score less than or equal to this setting (e.g., 5.0)." } } }, "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 } } } } } } } } } } ```