# Facebook Reel Extractor (`ayatullah-ayat/facebook-reel-scraper`) Actor This Actor scrapes publicly available Facebook Reels data including caption title, music track, likes, comments, and shares from a Reel URL or multiple URLs. Results are stored in the dataset for further analysis. - **URL**: https://apify.com/ayatullah-ayat/facebook-reel-scraper.md - **Developed by:** [Ayatullah Khameni](https://apify.com/ayatullah-ayat) (community) - **Categories:** Social media, Videos - **Stats:** 11 total users, 4 monthly users, 100.0% runs succeeded, NaN 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.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 ## Facebook Reel Scraper This Actor scrapes data Facebook Reels. Built with [Crawlee](https://crawlee.dev/) and Playwright, it handles Facebook's dynamic content loading to extract valuable information from Reels. ### Data Extracted For each Facebook Reel, the scraper attempts to extract: - URL - Caption Title / Text - Music Track used - Like Count - Comment Count - Share Count ### Output Data Example Here is an example of the reel details extracted by the scraper: ```json { "url": "https://facebook.com/reel/670388312734832", "captionTitle": "Meet John Doe, Software Quality Assurance Engineer at Mediusware Limited.", "musicTrack": "From building scalable automation frameworks to integrating tes… See more", "likeCount": 0, "commentCount": "23", "shareCount": "3" } ```` ### Input Configuration The scraper accepts the following input parameters: - `reelUrl` (Optional): A single direct URL to a Facebook Reel. - `startUrls` (Optional): An array of Facebook Reel URLs to process in batch. *Note: You must provide either `reelUrl` or `startUrls`.* #### Example Input ```json { "reelUrl": "https://www.facebook.com/reel/670388312734832" } ``` Or for multiple URLs: ```json { "startUrls": [ { "url": "https://www.facebook.com/reel/670388312734832" }, { "url": "https://www.facebook.com/reel/123456789012345" } ] } ``` ### FAQ **Q: Can this scraper extract private reels?** A: No, the scraper can only access publicly available Facebook reels. **Q: Do I need to be logged into Facebook to use this?** A: No, this scraper bypasses the login barrier and extracts publicly visible video details. **Q: How fast is the scraper?** A: Performance depends on the number of URLs provided, but the scraper waits up to a few seconds for Facebook's dynamic content to load on each page to ensure accurate data extraction. # Actor input Schema ## `reelUrl` (type: `string`): URL of a single Facebook Reel to scrape (e.g. https://www.facebook.com/reel/1234567). ## `startUrls` (type: `array`): List of URLs of Facebook Reels to scrape. ## Actor input object example ```json { "reelUrl": "https://www.facebook.com/reel/670388312734832", "startUrls": [] } ``` # Actor output Schema ## `results` (type: `string`): No description # 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 = { "reelUrl": "https://www.facebook.com/reel/670388312734832", "startUrls": [] }; // Run the Actor and wait for it to finish const run = await client.actor("ayatullah-ayat/facebook-reel-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`πŸ’Ύ 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); }); // πŸ“š Want to learn more πŸ“–? Go to β†’ 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 = { "reelUrl": "https://www.facebook.com/reel/670388312734832", "startUrls": [], } # Run the Actor and wait for it to finish run = client.actor("ayatullah-ayat/facebook-reel-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # πŸ“š Want to learn more πŸ“–? Go to β†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "reelUrl": "https://www.facebook.com/reel/670388312734832", "startUrls": [] }' | apify call ayatullah-ayat/facebook-reel-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=ayatullah-ayat/facebook-reel-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Facebook Reel Extractor", "description": "This Actor scrapes publicly available Facebook Reels data including caption title, music track, likes, comments, and shares from a Reel URL or multiple URLs. Results are stored in the dataset for further analysis.", "version": "0.1", "x-build-id": "vFmZHqbMw8BlJakye" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/ayatullah-ayat~facebook-reel-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-ayatullah-ayat-facebook-reel-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/ayatullah-ayat~facebook-reel-scraper/runs": { "post": { "operationId": "runs-sync-ayatullah-ayat-facebook-reel-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/ayatullah-ayat~facebook-reel-scraper/run-sync": { "post": { "operationId": "run-sync-ayatullah-ayat-facebook-reel-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": { "reelUrl": { "title": "Single Reel URL", "type": "string", "description": "URL of a single Facebook Reel to scrape (e.g. https://www.facebook.com/reel/1234567)." }, "startUrls": { "title": "Start URLs", "type": "array", "description": "List of URLs of Facebook Reels to scrape.", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } } } }, "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 } } } } } } } } } } ```