# Facebook Group Posts Scraper πŸ“± (`easyapi/facebook-group-posts-scraper`) Actor Scrape Facebook group posts efficiently with login support. Extract post content, author info, timestamps and more from any public or private Facebook group you have access to. - **URL**: https://apify.com/easyapi/facebook-group-posts-scraper.md - **Developed by:** [EasyApi](https://apify.com/easyapi) (community) - **Categories:** Social media, Lead generation - **Stats:** 360 total users, 19 monthly users, 77.0% runs succeeded, 9 bookmarks - **User rating**: 2.37 out of 5 stars ## Pricing from $2.99 / 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 ## Facebook Group Posts Scraper πŸ“± Powerful scraper that extracts posts and related information from Facebook groups. Works with public groups. ### 🎯 Features - Scrapes posts from any Facebook group you have access to - Handles both public and private Facebook groups - Supports login via cookies - Built-in stealth and anti-detection mechanisms - Configurable proxy support - Customizable number of posts to scrape - Random delays and human-like scrolling behavior ### πŸ“Š Output Data For each post, the scraper extracts: - Post ID - Post URL - Post content/message - Creation timestamp - Author ID - Author name - Author profile URL ### πŸ”§ Input Parameters | Parameter | Type | Description | |-----------|------|-------------| | groupUrls | Array | List of Facebook group URLs to scrape | | maxItems | Integer | Maximum number of posts to scrape (optional) | | proxyConfiguration | Object | Proxy settings (optional) | ### πŸ’‘ Use Cases - Social media monitoring - Market research - Content analysis - Community engagement tracking - Competitor analysis - Trend detection ### πŸš€ Getting Started 1. Enter the Facebook group URL(s) you want to scrape 2. Set the maximum number of posts to collect (optional) 3. Configure proxy settings if needed 4. Run the actor and get structured data in your preferred format ### ⚠️ Important Notes - Respect Facebook's terms of service and privacy policies - Use appropriate delays between requests - Make sure you have permission to access the groups you want to scrape - Consider using proxies for large-scale scraping #### Input Example A full explanation of an input example in JSON. ```json { "groupUrls": [ "https://www.facebook.com/groups/1242309506256283/" ], "maxItems": 50 } ```` #### Output sample The results will be wrapped into a dataset which you can always find in theΒ **Storage**Β tab. Here's an excerpt from the data you'd get if you apply the input parameters above: And here is the same data but in JSON. You can choose in which format to download your data: JSON, JSONL, Excel spreadsheet, HTML table, CSV, or XML. ```json [ { "postId": "1999533500533876", "message": "NEWS: Tesla has announced that, effective February 1, all models in Canada will get huge price increases.\n\nPrice changes:\nβ€’ Model 3: $4,000-$9,000 increase (depending on trim)\nβ€’ Model Y: $4,000 increase on all trims\nβ€’ Model S/X: $4,000 increase on all trims", "authorId": "100000021881982", "authorName": "Jianchun Xu", "authorUrl": "https://www.facebook.com/tellspringyan", "url": "https://www.facebook.com/groups/1242309506256283/permalink/1999533500533876/" }, ... ] ``` # Actor input Schema ## `groupUrls` (type: `array`): List of Facebook group URLs to scrape ## `maxItems` (type: `integer`): Maximum number of posts to scrape (default: 50) ## Actor input object example ```json { "groupUrls": [ "https://www.facebook.com/groups/1242309506256283/" ], "maxItems": 5 } ``` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "groupUrls": [ "https://www.facebook.com/groups/1242309506256283/" ], "maxItems": 5 }; // Run the Actor and wait for it to finish const run = await client.actor("easyapi/facebook-group-posts-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/${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 = { "groupUrls": ["https://www.facebook.com/groups/1242309506256283/"], "maxItems": 5, } # Run the Actor and wait for it to finish run = client.actor("easyapi/facebook-group-posts-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 '{ "groupUrls": [ "https://www.facebook.com/groups/1242309506256283/" ], "maxItems": 5 }' | apify call easyapi/facebook-group-posts-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=easyapi/facebook-group-posts-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Facebook Group Posts Scraper πŸ“±", "description": "Scrape Facebook group posts efficiently with login support. Extract post content, author info, timestamps and more from any public or private Facebook group you have access to.", "version": "0.0", "x-build-id": "RIJziccnGihSTKhYk" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/easyapi~facebook-group-posts-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-easyapi-facebook-group-posts-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/easyapi~facebook-group-posts-scraper/runs": { "post": { "operationId": "runs-sync-easyapi-facebook-group-posts-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/easyapi~facebook-group-posts-scraper/run-sync": { "post": { "operationId": "run-sync-easyapi-facebook-group-posts-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "groupUrls" ], "properties": { "groupUrls": { "title": "Facebook Group URLs", "type": "array", "description": "List of Facebook group URLs to scrape", "default": [ "https://www.facebook.com/groups/1242309506256283/" ], "items": { "type": "string" } }, "maxItems": { "title": "Maximum Posts", "minimum": 5, "type": "integer", "description": "Maximum number of posts to scrape (default: 50)", "default": 5 } } }, "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 } } } } } } } } } } ```