# Facebook Group Posts Scraper ยท No Cookies (`data-slayer/facebook-group-posts`) Actor Extract posts from any public Facebook group without login. Get full post text, reactions by type, comments, shares, author profiles, media attachments, and timestamps. No cookies, no authentication. Export as JSON/CSV/Excel. - **URL**: https://apify.com/data-slayer/facebook-group-posts.md - **Developed by:** [Data Slayer](https://apify.com/data-slayer) (community) - **Categories:** Social media, Developer tools, Automation - **Stats:** 55 total users, 7 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $5.00 / 1,000 results This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. 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 ยท No Cookies Extract Facebook group posts at scale without authentication or cookies. This scraper accesses publicly available group content through a cookieless architecture, eliminating the risk of account bans while delivering comprehensive post data, engagement metrics, and author profiles for competitive intelligence and community analysis. ### ๐Ÿ“บ Video Tutorial: How it Works https://www.youtube.com/watch?v=_hgn4f9N-tc --- ### Key Features ๐Ÿ”’ **Cookieless / No Login Required** - Access public Facebook group posts without authentication, cookies, or account credentials. Zero risk of account suspension or rate limiting. ๐Ÿ“ˆ **Scalable Architecture** - Extract thousands of group posts with detailed engagement metrics, reaction breakdowns, and author information in a single run. โœ… **Rich Post Data** - Capture complete post content including messages, timestamps, media attachments (images/videos), reaction counts by type (like, love, wow, haha, sad, angry, care), comment counts, share counts, and full author profiles with profile pictures. โšก **Fast & Reliable** - Optimized extraction engine delivers consistent results with automatic retry logic and error handling for uninterrupted data collection. ๐Ÿ“Š **Export-Ready Formats** - Download your data instantly in JSON, CSV, or Excel format, ready for analysis in your preferred business intelligence tools, CRM systems, or spreadsheet applications. ### Use Cases **Social Media Managers**: Monitor multiple Facebook groups to track trending topics, content performance patterns, and community engagement levels. Identify high-performing post formats and optimal posting times to inform your content strategy. **Market Research Analysts**: Analyze audience sentiment and conversation themes across competitor groups or industry communities. Extract thousands of posts to identify emerging trends, pain points, and customer preferences for strategic planning. **Sales & Lead Generation Teams**: Discover potential customers actively discussing relevant topics in niche Facebook groups. Export posts with author profiles to build targeted outreach lists and identify warm leads expressing specific needs or interests. ### Inputs | Field | Type | Description | |-------|------|-------------| | groupId | String | The unique Facebook Group ID (e.g., 1439220986320043). Find this in the group URL after `/groups/`. | ### Outputs **Available Formats**: JSON, CSV, Excel **Key Data Fields**: - `post_id` - Unique identifier for each post - `url` - Direct link to the post - `message` - Full text content of the post - `timestamp` - Unix timestamp of when the post was created - `comments_count` - Total number of comments - `reactions_count` - Total reactions across all types - `reactions` - Breakdown by type (like, love, wow, haha, sad, angry, care) - `reshare_count` - Number of times the post was shared - `author.id` - Author's unique Facebook ID - `author.name` - Author's display name - `author.url` - Link to author's profile - `author.profile_picture_url` - Author's profile image URL - `image.uri` - URL of attached image (if present) - `image.height` / `image.width` - Image dimensions - `video` - Video attachment data (if present) - `external_url` - Any external links shared in the post ### How to Use **Step 1**: Enter the target Facebook Group ID in the `groupId` field. You can find this numeric ID in the group's URL (e.g., facebook.com/groups/1439220986320043). **Step 2**: Configure any additional parameters such as date ranges or post limits based on your data collection needs. **Step 3**: Run the scraper and download your results in JSON, CSV, or Excel format. Data is available immediately upon completion. ### Sample Output ```json { "post_id": "4230362860539161", "type": "post", "url": "https://www.facebook.com/groups/boardgamecommunity/posts/4230362860539161/", "message": "Looking for recommendations on strategy games for 2-4 players. Preferably something with medium complexity and under 90 minutes playtime.", "timestamp": 1765705599, "comments_count": 23, "reactions_count": 15, "reshare_count": 2, "reactions": { "angry": 0, "care": 1, "haha": 0, "like": 12, "love": 2, "sad": 0, "wow": 0 }, "author": { "id": "pfbid0jTpnC5rAwPLzqpn8G2QbJgAi3u7qyXWyWfYuUokDiVukw2r5TtkfXu5QMrGDeA3Ll", "name": "Sarah Mitchell", "url": "https://www.facebook.com/sarah.mitchell.37", "profile_picture_url": "https://scontent.flhe6-1.fna.fbcdn.net/v/t39.30808-1/profile_pic.jpg" }, "image": null, "video": null } ```` ### ๐Ÿงฉ Other Facebook Actors by Data Slayer | Actor | What it does | Link | |---|---|---| | Facebook Posts Scraper | Extract posts from any Facebook page | [Try it](https://apify.com/data-slayer/facebook-page-posts) | | Facebook Page Details Scraper | Get full page profiles โ€” followers, contact info, ratings | [Try it](https://apify.com/data-slayer/facebook-page-details) | | Facebook Reviews Scraper | Extract customer reviews from any Facebook page | [Try it](https://apify.com/data-slayer/facebook-page-reviews) | | Facebook Page Search Scraper | Search and discover Facebook pages by keyword | [Try it](https://apify.com/data-slayer/facebook-search-pages) | | Facebook People Search Scraper | Search and find Facebook profiles by keyword | [Try it](https://apify.com/data-slayer/facebook-search-people) | | Facebook Events Scraper | Discover Facebook events by keyword search | [Try it](https://apify.com/data-slayer/facebook-search-events) | | Facebook Marketplace Listing Scraper | Extract detailed listing data from Facebook Marketplace | [Try it](https://apify.com/data-slayer/facebook-marketplace-details) | ### ๐Ÿ’ฌ Feedback and Support We actively maintain this actor and ship improvements based on user feedback. If you run into any issues or have ideas for new features: - Create an issue on the Actor's **Issues tab** in Apify Console - Rate the actor if it helped you โ€” it helps others find it too We typically respond within 24 hours. # Actor input Schema ## `groupId` (type: `string`): Group ID ## `maxPages` (type: `integer`): Maximum number of pages to fetch (pagination handled automatically) ## Actor input object example ```json { "groupId": "new york", "maxPages": 1 } ``` # 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("data-slayer/facebook-group-posts").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`๐Ÿ’พ 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); }); // ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ 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("data-slayer/facebook-group-posts").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("๐Ÿ’พ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{}' | apify call data-slayer/facebook-group-posts --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=data-slayer/facebook-group-posts", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Facebook Group Posts Scraper ยท No Cookies", "description": "Extract posts from any public Facebook group without login. Get full post text, reactions by type, comments, shares, author profiles, media attachments, and timestamps. No cookies, no authentication. Export as JSON/CSV/Excel.", "version": "1.0", "x-build-id": "vX1LSKIZRhtLUIOgc" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/data-slayer~facebook-group-posts/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-data-slayer-facebook-group-posts", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/data-slayer~facebook-group-posts/runs": { "post": { "operationId": "runs-sync-data-slayer-facebook-group-posts", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/data-slayer~facebook-group-posts/run-sync": { "post": { "operationId": "run-sync-data-slayer-facebook-group-posts", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "groupId" ], "properties": { "groupId": { "title": "Group ID", "type": "string", "description": "Group ID", "default": "new york" }, "maxPages": { "title": "Maximum Pages", "minimum": 1, "maximum": 100, "type": "integer", "description": "Maximum number of pages to fetch (pagination handled automatically)", "default": 1 } } }, "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 } } } } } } } } } } ```