# Facebook Profile & Posts Scraper (`scrapers-hub/facebook-profile-posts-scraper`) Actor Facebook Profile Posts scraper to extract publicly available posts, captions, timestamps, reactions, comments, media links, and other accessible profile post data 📘📊 Perfect for social media research, brand monitoring, content analysis, and trend tracking. - **URL**: https://apify.com/scrapers-hub/facebook-profile-posts-scraper.md - **Developed by:** [Scrapers Hub](https://apify.com/scrapers-hub) (community) - **Categories:** Social media, Developer tools, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $1.99 / 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 web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows. 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/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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 Profile & Posts Scraper A robust Apify Actor that extracts complete post histories, images, video urls, text fragments and engagement metrics recursively from Facebook profiles and timelines. ### Why Choose Us? Unlike alternative scripts, this actor supports direct navigation across pages leveraging native API endpoint resolution to evade superficial anti-scraping checks. ### Key Features - Dynamic proxy capability (defaults to internal Apify residential groups for optimum block-evasion) - Asynchronous multi-paged cursor extraction mimicking generic frontend requests - Supports extracting detailed interactions including comprehensive reaction counts and complex nested media links (e.g. albums, video thumbnails, share texts, connected stories). - Robust error handling: Handles corrupted GraphQL/JSON artifacts inline dynamically. ### Input Provide actor configurations including the starting target URL, explicit page limits, and optional proxy constraints. ```json { "startUrls": [{ "url": "https://www.facebook.com/humansofnewyork" }], "maxPages": 50, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"] } } ```` - **startUrls**: The array list of Facebook profile URLs you want scraped. - **maxPages**: Integer counting the maximum depth limits per profile page (to prevent loops). - **proxyConfiguration**: Explicit setup pointing your execution towards Apify Proxy configurations. ### Output Yields arrays of objects matching scraped nodes (a single `profile_metadata` block followed by extensive `post` item records): ```json { "post_id": "1234567890", "type": "post", "url": "https://www.facebook.com/humansofnewyork/posts/1234567890", "message": "It was a cold Sunday...", "message_rich": "It was a cold Sunday...", "timestamp": 1698765432, "comments_count": 850, "reactions_count": 25000, "reshare_count": 1200, "reactions": { "angry": 2, "care": 100, "haha": 45, "like": 14500, "love": 10300, "sad": 50, "wow": 3 }, "author": { "id": "100050429952420", "name": "Humans of New York", "url": "https://www.facebook.com/humansofnewyork", "profile_picture_url": "https://scontent..." } } ``` ### 🚀 How to Use the Actor (via Apify Console) 1. Log in at https://console.apify.com and go to **Actors**. 2. Find your actor and click it. 3. Configure inputs (URLs and pagination depth limits). 4. Run the actor. 5. Monitor logs in real time. 6. Access results in the OUTPUT tab. 7. Export results to JSON or CSV. ### Best Use Cases - Aggregating historical media and post chronologies smoothly. - Monitoring large organizational profile outputs and measuring respective content reception. - Research campaigns seeking structured nested analytics on target audience reactions and shares natively. ### Support and Feedback Create a GitHub issue or contact us if any fields are misextracted owing to structural changes on the target platform! ### Cautions - Data is collected only from **publicly available sources**. - No data is taken from private accounts or password-protected content. - The end user is responsible for ensuring legal compliance (spam laws, privacy, data protection, etc.). # Actor input Schema ## `startUrls` (type: `array`): List one or more Facebook profile URLs. ## `maxPages` (type: `integer`): Maximum number of pages to scroll/fetch per profile. ## Actor input object example ```json { "startUrls": [ { "url": "https://www.facebook.com/humansofnewyork" } ], "maxPages": 50 } ``` # 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 = { "startUrls": [ { "url": "https://www.facebook.com/humansofnewyork" } ] }; // Run the Actor and wait for it to finish const run = await client.actor("scrapers-hub/facebook-profile-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 = { "startUrls": [{ "url": "https://www.facebook.com/humansofnewyork" }] } # Run the Actor and wait for it to finish run = client.actor("scrapers-hub/facebook-profile-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 '{ "startUrls": [ { "url": "https://www.facebook.com/humansofnewyork" } ] }' | apify call scrapers-hub/facebook-profile-posts-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=scrapers-hub/facebook-profile-posts-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Facebook Profile & Posts Scraper", "description": "Facebook Profile Posts scraper to extract publicly available posts, captions, timestamps, reactions, comments, media links, and other accessible profile post data 📘📊 Perfect for social media research, brand monitoring, content analysis, and trend tracking.", "version": "1.0", "x-build-id": "giT814hHaBsqWTOrh" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/scrapers-hub~facebook-profile-posts-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-scrapers-hub-facebook-profile-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/scrapers-hub~facebook-profile-posts-scraper/runs": { "post": { "operationId": "runs-sync-scrapers-hub-facebook-profile-posts-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/scrapers-hub~facebook-profile-posts-scraper/run-sync": { "post": { "operationId": "run-sync-scrapers-hub-facebook-profile-posts-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "startUrls" ], "properties": { "startUrls": { "title": "Facebook Profile URLs", "type": "array", "description": "List one or more Facebook profile URLs.", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "maxPages": { "title": "Max Pages to Scrape", "minimum": 1, "type": "integer", "description": "Maximum number of pages to scroll/fetch per profile.", "default": 50 } } }, "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 } } } } } } } } } } ```