# Facebook Groups Scraper (`devninja/facebook-groups-scraper`) Actor Extract posts, reactions, and media from public Facebook groups for social media analysis and market research. - **URL**: https://apify.com/devninja/facebook-groups-scraper.md - **Developed by:** [Devinja](https://apify.com/devninja) (community) - **Categories:** Automation, Integrations, Social media - **Stats:** 5 total users, 4 monthly users, 0.0% runs succeeded, 1 bookmarks - **User rating**: 5.00 out of 5 stars ## Pricing Pay per event 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 ## Facebook Groups Scraper Extract posts, comments, reactions, and media from public Facebook profiles for social media analysis and market research. ### Key Features - **Rich Data Extraction**: Posts, comments, reactions, photos/videos with metadata - **Multiple Profile Support**: Process several profiles simultaneously - **Smart Delivery**: Webhook notifications and JSON downloads - **Public Data Only**: Respects privacy settings and platform terms ### Use Cases - **Social Media Management**: Track brand mentions and engagement trends - **Market Research**: Gather public opinion and industry insights - **Content Strategy**: Research trending topics and successful formats - **Competitive Analysis**: Monitor competitor performance and strategies ### Quick Start ```json { "max_results": 15, "urls": [ { "url": "https://www.facebook.com/groups/your.target.group", "method": "GET" } ] } ```` ### What You Get Each post includes content, engagement metrics, top comments, media files, and profile information in structured JSON format. ### Automation - Manual or scheduled runs (hourly/daily/weekly/monthly) - Webhook integration for real-time data delivery - Compatible with popular data analysis tools *** *Designed for legitimate research and analysis of public Facebook content. Users must comply with applicable laws and platform terms.* # Actor input Schema ## `urls` (type: `array`): List of Facebook group URLs to scrape ## `max_results` (type: `integer`): Maximum number of posts to scrape per group ## `webhook_url` (type: `string`): URL where results will be sent after scraping completes (optional) ## `webhook_token` (type: `string`): Bearer token for webhook authentication (optional but recommended) ## `webhook_method` (type: `string`): HTTP method to use when sending data to webhook ## Actor input object example ```json { "urls": [ { "url": "https://www.facebook.com/groups/270236486408951", "method": "GET" } ], "max_results": 15, "webhook_url": "https://your-api.com/webhook", "webhook_token": "your-secret-token", "webhook_method": "POST" } ``` # 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("devninja/facebook-groups-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("devninja/facebook-groups-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 devninja/facebook-groups-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=devninja/facebook-groups-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Facebook Groups Scraper", "description": "Extract posts, reactions, and media from public Facebook groups for social media analysis and market research.", "version": "1.0", "x-build-id": "8ZPgZqhgHsMkuihzC" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/devninja~facebook-groups-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-devninja-facebook-groups-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/devninja~facebook-groups-scraper/runs": { "post": { "operationId": "runs-sync-devninja-facebook-groups-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/devninja~facebook-groups-scraper/run-sync": { "post": { "operationId": "run-sync-devninja-facebook-groups-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "required": [ "urls", "max_results" ], "properties": { "urls": { "title": "Group URLs", "minItems": 1, "maxItems": 100, "type": "array", "description": "List of Facebook group URLs to scrape", "items": { "type": "object", "properties": { "url": { "title": "URL", "type": "string", "description": "Facebook group URL", "pattern": "^https://(www\\.|web\\.|m\\.|mobile\\.|mbasic\\.)?facebook\\.com/groups/" }, "method": { "title": "Method", "type": "string", "description": "HTTP method (always GET for Facebook groups)" } }, "required": [ "url" ], "additionalProperties": false }, "default": [ { "url": "https://www.facebook.com/groups/270236486408951", "method": "GET" } ] }, "max_results": { "title": "Maximum Results", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Maximum number of posts to scrape per group", "default": 15 }, "webhook_url": { "title": "Webhook URL", "pattern": "^$|^https?://", "type": "string", "description": "URL where results will be sent after scraping completes (optional)" }, "webhook_token": { "title": "Webhook Token", "type": "string", "description": "Bearer token for webhook authentication (optional but recommended)" }, "webhook_method": { "title": "Webhook HTTP Method", "enum": [ "POST", "PUT" ], "type": "string", "description": "HTTP method to use when sending data to webhook", "default": "POST" } } }, "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 } } } } } } } } } } ```