# Facebook Posts Scraper (`danek/facebook-posts-fast`) Actor Scrap Facebook posts fast and easy. This actor is a lightweight version of the Facebook Posts actor. It is designed to be fast and efficient, so it can extract a large number of posts for low price. It is also less likely to be blocked by Facebook. - **URL**: https://apify.com/danek/facebook-posts-fast.md - **Developed by:** [Jan Danecki](https://apify.com/danek) (community) - **Categories:** Social media, News - **Stats:** 1,391 total users, 18 monthly users, 100.0% runs succeeded, 32 bookmarks - **User rating**: 4.66 out of 5 stars ## Pricing $29.99/month + usage To use this Actor, you pay a monthly rental fee to the developer. The rent is subtracted from your prepaid usage every month after the free trial period.You also pay for the Apify platform usage, which gets cheaper the higher Apify subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#rental-actors ## 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 Fast Scrap all posts from Facebook page in no-time. Due to our unique scraping method, we are able to bypass the need for a Facebook account and significantly reduce chance of being blocked. For best results combine it with proxy. ## Important note If you need to filter posts by date, use [Pay per Result](https://apify.com/danek/facebook-pages-posts-ppr) instead. **For max performance always use with proxy!** ### Features: - low memory usage - save costs by running tasks with low resource consumption - low network usage - save your proxy from unnecessary traffic - built-in retry mechanism ### Cost Our Facebook Posts Scrapper is available for $9.99 per month, plus run costs. You can take advantage of a free trial for a few days to assess its suitability for your needs. If you are already subscribed to an Apify plan, run cost may be included. Refer to [apify pricing page](https://apify.com/pricing) for detailed information. Checkout [Pay per Result](https://apify.com/danek/facebook-pages-posts-ppr) version if you need more features and direct control over costs. For cost optimization, the scraper can be run on the lowest settings (128MB memory). ### Output ```json [ { "post_id": "12345", "url": "", "message": "", "timestamp": 1710956549, "comments_count": 1, "reactions_count": 1, "author": { "id": "1111", "name": "", "url": "" }, "image": {}, "video": {}, "attached_post_url": {} } //... ] ```` ## Cheap and fast Facebook Scrapers #### Try our Scrappers: - [Facebook Search](https://apify.com/danek/facebook-search-rental) - [Facebook Events](https://apify.com/danek/facebook-page-events-lite) - [Facebook Groups](https://apify.com/danek/facebook-groups-lite) - [Facebook Pages](https://apify.com/danek/facebook-pages-details-rental) - [Facebook Posts](https://apify.com/danek/facebook-posts-lite) - [other scrappers](https://apify.com/danek) ### Roadmap We are actively working to increase this efficiency. Next features: - add more details to the output - add post albums parsing Do you need it ASAP? Do you need any other feature? Let us know in issue section! # Actor input Schema ## `urls` (type: `array`): Facebook urls. Can be page or profile ## `direct_urls` (type: `array`): Facebook post urls. ## `max_posts` (type: `integer`): Max posts per url to scrape ## `max_retries` (type: `integer`): Number of retries per request ## `proxy` (type: `object`): Select proxies to be used. ## Actor input object example ```json { "urls": [ { "url": "https://www.facebook.com/facebook" } ], "max_posts": 10, "max_retries": 5, "proxy": { "useApifyProxy": false } } ``` # 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": [ { "url": "https://www.facebook.com/facebook" } ], "max_posts": 10, "max_retries": 5, "proxy": { "useApifyProxy": false } }; // Run the Actor and wait for it to finish const run = await client.actor("danek/facebook-posts-fast").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": [{ "url": "https://www.facebook.com/facebook" }], "max_posts": 10, "max_retries": 5, "proxy": { "useApifyProxy": False }, } # Run the Actor and wait for it to finish run = client.actor("danek/facebook-posts-fast").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": [ { "url": "https://www.facebook.com/facebook" } ], "max_posts": 10, "max_retries": 5, "proxy": { "useApifyProxy": false } }' | apify call danek/facebook-posts-fast --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=danek/facebook-posts-fast", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Facebook Posts Scraper", "description": "Scrap Facebook posts fast and easy. This actor is a lightweight version of the Facebook Posts actor. It is designed to be fast and efficient, so it can extract a large number of posts for low price. It is also less likely to be blocked by Facebook.", "version": "1.5", "x-build-id": "MqrIMqeJMSdoc1d8K" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/danek~facebook-posts-fast/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-danek-facebook-posts-fast", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/danek~facebook-posts-fast/runs": { "post": { "operationId": "runs-sync-danek-facebook-posts-fast", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/danek~facebook-posts-fast/run-sync": { "post": { "operationId": "run-sync-danek-facebook-posts-fast", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "max_posts", "max_retries" ], "properties": { "urls": { "title": "Page or profile urls", "type": "array", "description": "Facebook urls. Can be page or profile", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "direct_urls": { "title": "Post urls", "type": "array", "description": "Facebook post urls.", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "max_posts": { "title": "max posts", "type": "integer", "description": "Max posts per url to scrape" }, "max_retries": { "title": "max retries", "type": "integer", "description": "Number of retries per request" }, "proxy": { "title": "Proxy configuration", "type": "object", "description": "Select proxies to be used." } } }, "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 } } } } } } } } } } ```