# Facebook Posts Scraper (`scrapeforge/facebook-posts-scraper`) Actor Scrape posts from public Facebook groups by URL, share link, or ID. Returns detailed data including reactions breakdown, media URLs, author info, and engagement metrics. - **URL**: https://apify.com/scrapeforge/facebook-posts-scraper.md - **Developed by:** [ScrapeForge](https://apify.com/scrapeforge) (community) - **Categories:** Social media, Automation - **Stats:** 3 total users, 2 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: 5.00 out of 5 stars ## Pricing from $3.49 / 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. 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 Posts Scraper — Groups, Pages & Profiles Scrape posts from public Facebook **groups, pages, and profiles** by URL or ID. Just paste any Facebook URL — the actor auto-detects whether it's a group, a page, or a personal profile and returns structured, machine-readable data with full engagement metrics, author details, and media URLs. ### What does this actor do? Give it one or more **public** Facebook links and it returns their posts as structured data — perfect for community research, market analysis, brand monitoring, and content discovery. It accepts full URLs, share links, `profile.php?id=` and `/people/…` links, or numeric IDs; classifies each one automatically; resolves it to its numeric ID; and paginates through the feed for you. ### Features - **One input for everything**: Paste group, page, and profile URLs together in the `urls` field — each is classified automatically. - **All URL shapes**: Vanity URLs (`/DuaLipa`, `/username`), group URLs (`/groups/...`), share links (`/share/g/...`), `profile.php?id=...`, `/people///`, and bare numeric IDs. - **Multiple sources per run**: Pass a list and scrape them all in one run. - **Automatic ID resolution**: Share links and vanity URLs are resolved to the numeric ID. - **Date filtering**: Narrow results to a specific date range (server-side for pages/profiles). - **Automatic deduplication**: No duplicate posts in your dataset. - **Automatic pagination**: Fetches as many posts as you need per source (up to 1,000). - **Engagement metrics**: Reactions breakdown (like, love, haha, wow, sad, angry, care), comments count, and shares count. - **Rich media**: Image URLs with dimensions, video files (SD/HD), video thumbnails. - **Author info**: Name, profile URL, and profile picture for each post author. ### Input parameters | Parameter | Type | Description | |-----------|------|-------------| | `urls` | Array | List of public Facebook URLs or IDs — groups, pages, or profiles. Each entry is classified automatically. | | `group_urls` | Array | **Deprecated** (use `urls`). Entries here are always treated as groups, for backward compatibility. | | `max_posts` | Integer | Maximum unique posts to return per source (1–1,000). Default: `20` | | `start_date` | Date | Filter posts from this date (YYYY-MM-DD) | | `end_date` | Date | Filter posts until this date (YYYY-MM-DD) | At least one of `urls` or `group_urls` must be provided. #### Example input ```json { "urls": [ "https://www.facebook.com/groups/jiquipilcoedomex", "https://www.facebook.com/DuaLipa", "https://www.facebook.com/people/Some-Profile/100027191090994/" ], "max_posts": 50 } ```` ### Output Each post in the dataset contains: ```json { "post_id": "pfbid02ABC123", "source_type": "page", "source_id": "100044095313280", "source_url": "https://www.facebook.com/DuaLipa", "source_name": "Dua Lipa", "group_id": null, "group_url": null, "type": "photo", "url": "https://www.facebook.com/DuaLipa/posts/pfbid02ABC123", "message": "Check out this amazing product!", "timestamp": 1710864000, "comments_count": 42, "reactions_count": 156, "reshare_count": 12, "reactions": { "like": 100, "love": 30, "haha": 10, "wow": 8, "sad": 3, "angry": 2, "care": 3 }, "author": { "id": "123456789", "name": "John Doe", "url": "https://www.facebook.com/johndoe", "profile_picture_url": "https://..." }, "image": { "uri": "https://...", "height": 720, "width": 1280, "id": "img123" }, "video": null, "external_url": null } ``` - `source_type` is `group`, `page`, or `profile`, with `source_id` / `source_url` / `source_name` describing the origin. - For **group** posts, `group_id` and `group_url` are also populated (backward compatibility). For pages and profiles they are `null`. ### Use cases - **Community research**: Understand what a group's members post and engage with. - **Brand & competitor monitoring**: Track a brand page's or a public figure's posts and engagement. - **Market research**: Discover trends and public sentiment within a niche. - **Content discovery**: Find popular posts in your niche for inspiration. ### Pricing This actor is priced per result. You only pay for the posts you get — no hidden fees for failed runs or empty sources. ### Usage limits for free tier users To keep the service sustainable, accounts on the **Apify Free plan** have the following limits when running this actor: - **Up to 20 posts per run** — any higher value in `max_posts` is automatically reduced. - **1 source per run** — extra entries are ignored on the free plan. - **1 run per 24 hours** — a second run launched within 24 hours of the previous one finishes immediately with a status message explaining when to retry. When a limit is reached, the run finishes gracefully (no error) and the status message explains what happened. **Paid plans** (Starter / Bronze and above) are not subject to these per-actor limits. To remove the restrictions, upgrade your Apify plan at . ### Limitations - **Only PUBLIC sources can be scraped.** Private groups and private profiles return no posts. - Results depend on Facebook's public availability. - Some posts may not be accessible if the author has restricted visibility. - Video file URLs (SD/HD) may expire after some time. ### Disclaimer This is an **unofficial** actor and is **not affiliated with, endorsed by, or sponsored by Facebook or Meta**. It is developed and maintained independently. Facebook is a trademark of Meta Platforms, Inc. This actor accesses only publicly available data. Users are responsible for ensuring their use complies with Facebook's Terms of Service and all applicable laws. By using this actor, you agree that you are solely responsible for how you use the extracted data. # Actor input Schema ## `urls` (type: `array`): List of public Facebook sources to scrape. Accepts any mix of group URLs (https://www.facebook.com/groups/...), page URLs (https://www.facebook.com/DuaLipa), profile URLs (https://www.facebook.com/username), profile.php?id=... links, /people/// links, share links (https://www.facebook.com/share/g/...), and numeric IDs. Each URL is classified automatically. Only PUBLIC sources can be scraped. ## `group_urls` (type: `array`): Deprecated — use "urls" instead. Entries here are always treated as Facebook GROUPS (kept for backward compatibility). Accepts group URLs, share links, or numeric group IDs. ## `max_posts` (type: `integer`): Maximum number of unique posts to return per source. The actor automatically deduplicates results. Free Apify plans are capped at 20 posts from 1 source per run. ## `start_date` (type: `string`): Filter posts from this date (format: YYYY-MM-DD). Leave empty for no date filter. ## `end_date` (type: `string`): Filter posts until this date (format: YYYY-MM-DD). Leave empty for no date filter. ## Actor input object example ```json { "urls": [ "https://www.facebook.com/DuaLipa" ], "max_posts": 20 } ``` # Actor output Schema ## `results` (type: `string`): Facebook group posts with fields: post\_id, group\_id, group\_url, type, url, message, timestamp, comments\_count, reactions\_count, reshare\_count, reactions breakdown, author info, image, video, and external URLs. # 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 = { "urls": [ "https://www.facebook.com/DuaLipa" ] }; // Run the Actor and wait for it to finish const run = await client.actor("scrapeforge/facebook-posts-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 = { "urls": ["https://www.facebook.com/DuaLipa"] } # Run the Actor and wait for it to finish run = client.actor("scrapeforge/facebook-posts-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 '{ "urls": [ "https://www.facebook.com/DuaLipa" ] }' | apify call scrapeforge/facebook-posts-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=scrapeforge/facebook-posts-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Facebook Posts Scraper", "description": "Scrape posts from public Facebook groups by URL, share link, or ID. Returns detailed data including reactions breakdown, media URLs, author info, and engagement metrics.", "version": "1.0", "x-build-id": "1NJgvgcUs7kotP9Ng" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/scrapeforge~facebook-posts-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-scrapeforge-facebook-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/scrapeforge~facebook-posts-scraper/runs": { "post": { "operationId": "runs-sync-scrapeforge-facebook-posts-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/scrapeforge~facebook-posts-scraper/run-sync": { "post": { "operationId": "run-sync-scrapeforge-facebook-posts-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "properties": { "urls": { "title": "Facebook URLs", "type": "array", "description": "List of public Facebook sources to scrape. Accepts any mix of group URLs (https://www.facebook.com/groups/...), page URLs (https://www.facebook.com/DuaLipa), profile URLs (https://www.facebook.com/username), profile.php?id=... links, /people/// links, share links (https://www.facebook.com/share/g/...), and numeric IDs. Each URL is classified automatically. Only PUBLIC sources can be scraped.", "items": { "type": "string" } }, "group_urls": { "title": "Group URLs or IDs (legacy)", "type": "array", "description": "Deprecated — use \"urls\" instead. Entries here are always treated as Facebook GROUPS (kept for backward compatibility). Accepts group URLs, share links, or numeric group IDs.", "items": { "type": "string" } }, "max_posts": { "title": "Max Posts per Source", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Maximum number of unique posts to return per source. The actor automatically deduplicates results. Free Apify plans are capped at 20 posts from 1 source per run.", "default": 20 }, "start_date": { "title": "Start Date", "type": "string", "description": "Filter posts from this date (format: YYYY-MM-DD). Leave empty for no date filter." }, "end_date": { "title": "End Date", "type": "string", "description": "Filter posts until this date (format: YYYY-MM-DD). Leave empty for no date filter." } } }, "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 } } } } } } } } } } ```