# Facebook Posts Search Scraper (`easyapi/facebook-posts-search-scraper`) Actor Effortlessly extract posts from Facebook search results. This actor automates the collection of posts based on custom queries, providing detailed information such as post content, engagement metrics, and author details. Ideal for social media monitoring, market research, and trend analysis. - **URL**: https://apify.com/easyapi/facebook-posts-search-scraper.md - **Developed by:** [EasyApi](https://apify.com/easyapi) (community) - **Categories:** Social media - **Stats:** 1,377 total users, 40 monthly users, 100.0% runs succeeded, 28 bookmarks - **User rating**: 4.33 out of 5 stars ## Pricing from $2.99 / 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/actors/running/actors-in-store.md#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. - **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use). - **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`. - **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`. - **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`. - **Any other language** — 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 Search Scraper Effortlessly extract posts from Facebook search results based on your query. ### Features - 🔍 Scrape posts from Facebook search results using custom queries - 📊 Extract detailed information about each post, including likes, comments, and shares - 🔢 Set a custom limit for the number of posts to scrape - 🚀 Uses browser automation to handle dynamic content - 🛡️ Incorporates anti-detection measures for reliable scraping ### Description The Facebook Posts Search Scraper is a powerful tool designed to automate the process of extracting posts from Facebook search results. It navigates through the search results page, scrolling and loading more content as needed, to collect comprehensive information about each post matching your search criteria. ### Input Parameters | Field | Type | Description | | --- | --- | --- | | `searchQuery` | String | The search query to find Facebook posts | | `maxPosts` | Integer | Maximum number of posts to scrape (default: 100, max: 5000) | ### Output The actor provides detailed information for each post, including: - `facebookUrl`: URL of the Facebook page that made the post - `pageId`: Unique identifier of the Facebook page - `postId`: Unique identifier of the post - `pageName`: Name of the Facebook page - `url`: Direct URL to the post - `time`: Formatted date and time of the post - `timestamp`: Unix timestamp of the post - `likes`: Number of likes on the post - `comments`: Number of comments on the post - `shares`: Number of times the post has been shared - `text`: The actual content of the post - `link`: URL of any link attached to the post - `thumb`: URL of the thumbnail image (if available) - `topLevelUrl`: Constructe ### Use Cases - Social media monitoring: Track mentions of specific keywords or phrases - Competitive analysis: Research posts related to competitors or industry trends - Market research: Gather insights on public discussions about products or services - Content curation: Find relevant posts for content marketing or reporting - Trend analysis: Identify popular topics and discussions within specific search queries Gain valuable insights from Facebook post search results with the Facebook Posts Search Scraper! #### Input Example A full explanation of an input example in JSON. ``` { "maxItems": 10, "searchQuery": "football" } ``` #### Output sample The results will be wrapped into a dataset which you can always find in the **Storage** tab. Here's an excerpt from the data you'd get if you apply the input parameters above: And here is the same data but in JSON. You can choose in which format to download your data: JSON, JSONL, Excel spreadsheet, HTML table, CSV, or XML. ``` [ { "facebookUrl": "https://www.facebook.com/BleacherReportFootball", "pageId": "100044187438640", "postId": "1150692399746997", "pageName": "Bleacher Report Football", "url": "https://www.facebook.com/BleacherReportFootball/posts/pfbid02KPDjc6DpFw1KDQYwptdvvUwGF4GLjsQZnfyU8g3osUAzonhcr2crgEJTKSroqWt6l", "time": "2024-10-01 18:11:20", "timestamp": 1727777480, "likes": 18189, "comments": 399, "shares": "2.4K", "text": "After 1,016 games and 38 trophies, 40-year-old Andrés Iniesta is finally hanging up his boots. One of the greatest to ever do it ✨🇪🇸", "link": "https://www.facebook.com/photo/?fbid=1150688623080708&set=a.274973270652252", "thumb": "https://scontent-ams4-1.xx.fbcdn.net/v/t39.30808-6/461867291_1150688626414041_3301490527386528216_n.jpg?_nc_cat=107&ccb=1-7&_nc_sid=127cfc&_nc_ohc=AiHZSsVt6KEQ7kNvgEYueNX&_nc_ht=scontent-ams4-1.xx&_nc_gid=AciHdLzF0Usp66QNMP-zbbm&oh=00_AYDH8qoqGJfpzhYvHPwvO5i1Vx3kSYm5NHuCkc7uac0SGA&oe=670BAE6B", "topLevelUrl": "https://www.facebook.com/100044187438640/posts/1150692399746997", "facebookId": "100044187438640", "postFacebookId": "1150692399746997" }, { "facebookUrl": "https://www.facebook.com/BleacherReportFootball", "pageId": "100044187438640", "postId": "1155050565977847", "pageName": "Bleacher Report Football", "url": "https://www.facebook.com/BleacherReportFootball/posts/pfbid0WbTYHzp7Cg8CkXLgTAbDmZQy7XvzF1v2bRSM2aTDC394LSqWTvuw6ggtaYaCu9EMl", "time": "2024-10-07 20:08:01", "timestamp": 1728302881, "likes": 16896, "comments": 1071, "shares": "1.9K", "text": "𝟏𝟎/𝟕. It's GOAT day 🐐", "link": "https://www.facebook.com/photo/?fbid=1155050412644529&set=a.274973270652252", "thumb": "https://scontent-ams4-1.xx.fbcdn.net/v/t39.30808-6/462272513_1155050419311195_494466168420217208_n.jpg?_nc_cat=101&ccb=1-7&_nc_sid=127cfc&_nc_ohc=9sKAaIQLBTkQ7kNvgGG5Nud&_nc_ht=scontent-ams4-1.xx&_nc_gid=AciHdLzF0Usp66QNMP-zbbm&oh=00_AYAZnl6PWZ99war6Y2i2gom6gAskQXoh3GK7swFR59phPw&oe=670BD8A9", "topLevelUrl": "https://www.facebook.com/100044187438640/posts/1155050565977847", "facebookId": "100044187438640", "postFacebookId": "1155050565977847" }, ... ] ``` # Actor input Schema ## `searchQuery` (type: `string`): The search query to find Facebook posts. Choose either this or Search URL. ## `searchUrl` (type: `string`): Complete Facebook search results page URL. Choose either this or Search Query. ## `maxPosts` (type: `integer`): The maximum number of posts to scrape from the search results. The actor will stop when this limit is reached. ## `postTimeRange` (type: `string`): Filter posts by time range ## Actor input object example ```json { "searchQuery": "football", "maxPosts": 10 } ``` # 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 = { "searchQuery": "football" }; // Run the Actor and wait for it to finish const run = await client.actor("easyapi/facebook-posts-search-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 = { "searchQuery": "football" } # Run the Actor and wait for it to finish run = client.actor("easyapi/facebook-posts-search-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}") for item in client.dataset(run.default_dataset_id).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "searchQuery": "football" }' | apify call easyapi/facebook-posts-search-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "type": "http", "url": "https://mcp.apify.com/?tools=fetch-actor-details,easyapi/facebook-posts-search-scraper" } } } ``` The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer ` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations). ## OpenAPI specification Download the OpenAPI definition: https://api.apify.com/v2/actors/4YfcIWyRtJHJ5Ha3a/builds/Z0gcQhQGblIns3Dr2/openapi.json