# Facebook Search Scraper (`crawlerbros/facebook-search-scraper`) Actor Search Facebook for pages and people by keyword. Extract structured data including page/profile details, engagement metrics, and contact information. - **URL**: https://apify.com/crawlerbros/facebook-search-scraper.md - **Developed by:** [Crawler Bros](https://apify.com/crawlerbros) (community) - **Categories:** Social media, Lead generation, Other - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 14 bookmarks - **User rating**: 5.00 out of 5 stars ## Pricing from $5.00 / 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. 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 Search Scraper Search Facebook by keyword and extract structured data from pages, posts, or people. Get page details, post content, engagement metrics, and profile information. ### What does Facebook Search Scraper do? Facebook Search Scraper performs keyword searches on Facebook and extracts structured data from the results. It supports three search types: Pages, Posts, and People. ### Why use Facebook Search Scraper? - **Lead generation** — Find businesses and pages matching your target keywords - **Market research** — Discover competitors and industry players on Facebook - **Content monitoring** — Track posts mentioning specific topics or brands - **People search** — Find profiles matching specific criteria - **Location-based discovery** — Search for businesses in specific areas ### Input | Field | Type | Required | Default | Description | |-------|------|----------|---------|-------------| | **searchQueries** | Array | Yes | — | Search keywords (e.g., "coffee shop", "dentist") | | **searchType** | String | No | "pages" | Type of results: "pages", "posts", or "people" | | **maxResults** | Integer | No | 50 | Maximum results per query (1-500) | #### Input example ```json { "searchQueries": ["coffee shop", "restaurant"], "searchType": "pages", "maxResults": 20 } ```` ### Output #### Pages search output | Field | Type | Description | |-------|------|-------------| | **facebookUrl** | String | Facebook page URL | | **pageName** | String | Name of the page | | **pageId** | String | Facebook page ID | | **category** | String | Page category | | **description** | String | Page description | | **followerCount** | Integer | Number of followers | | **likeCount** | Integer | Number of likes | | **ratingValue** | String | Page rating (if available) | | **ratingCount** | Integer | Number of ratings | | **phone** | String | Contact phone number | | **email** | String | Contact email | | **website** | String | External website URL | | **address** | String | Physical address | | **profileImageUrl** | String | Profile picture URL | | **searchQuery** | String | The search query used | | **scrapedAt** | String | When data was collected | #### Posts search output | Field | Type | Description | |-------|------|-------------| | **postUrl** | String | Direct link to the post | | **postText** | String | Post content text | | **authorName** | String | Author name | | **authorUrl** | String | Author profile URL | | **likesCount** | Integer | Number of reactions | | **commentsCount** | Integer | Number of comments | | **date** | String | Post date (ISO 8601) | | **searchQuery** | String | The search query used | | **scrapedAt** | String | When data was collected | #### People search output | Field | Type | Description | |-------|------|-------------| | **profileUrl** | String | Profile URL | | **profileName** | String | Person's name | | **profileId** | String | Profile ID | | **profilePicture** | String | Profile picture URL | | **subtitle** | String | Profile subtitle/description | | **searchQuery** | String | The search query used | | **scrapedAt** | String | When data was collected | ### How many results can I get? The scraper can extract up to 500 results per search query. The actual number depends on how many results Facebook returns for your search terms. ### Is it legal to search Facebook? This scraper only accesses publicly available search results that anyone can view without logging in. Always review Facebook's Terms of Service for your use case. ### Frequently Asked Questions #### Do I need a Facebook account? No. The scraper works without any login credentials and only accesses public data. #### Can I search for specific locations? Include the location in your search query (e.g., "coffee shop New York" or "dentist Berlin"). #### How long does it take? Typically 1-3 minutes per query depending on the number of results requested. #### Can I export the data? Yes. Export in JSON, CSV, Excel, XML, HTML and other formats from the Apify platform. # Actor input Schema ## `searchQueries` (type: `array`): List of search keywords to look up on Facebook (e.g., 'coffee shop', 'dentist near me'). ## `searchType` (type: `string`): Type of Facebook search results to return. ## `maxResults` (type: `integer`): Maximum number of results to extract per search query. ## Actor input object example ```json { "searchQueries": [ "coffee shop" ], "searchType": "pages", "maxResults": 3 } ``` # Actor output Schema ## `results` (type: `string`): Dataset with search results # 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 = { "searchQueries": [ "coffee shop" ], "maxResults": 3 }; // Run the Actor and wait for it to finish const run = await client.actor("crawlerbros/facebook-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 = { "searchQueries": ["coffee shop"], "maxResults": 3, } # Run the Actor and wait for it to finish run = client.actor("crawlerbros/facebook-search-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 '{ "searchQueries": [ "coffee shop" ], "maxResults": 3 }' | apify call crawlerbros/facebook-search-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=crawlerbros/facebook-search-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Facebook Search Scraper", "description": "Search Facebook for pages and people by keyword. Extract structured data including page/profile details, engagement metrics, and contact information.", "version": "1.0", "x-build-id": "grq8cFrpv8SIi4K9V" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/crawlerbros~facebook-search-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-crawlerbros-facebook-search-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/crawlerbros~facebook-search-scraper/runs": { "post": { "operationId": "runs-sync-crawlerbros-facebook-search-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/crawlerbros~facebook-search-scraper/run-sync": { "post": { "operationId": "run-sync-crawlerbros-facebook-search-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "searchQueries" ], "properties": { "searchQueries": { "title": "Search Queries", "minItems": 1, "type": "array", "description": "List of search keywords to look up on Facebook (e.g., 'coffee shop', 'dentist near me').", "items": { "type": "string" } }, "searchType": { "title": "Search Type", "enum": [ "pages", "people" ], "type": "string", "description": "Type of Facebook search results to return.", "default": "pages" }, "maxResults": { "title": "Maximum Results", "minimum": 1, "maximum": 500, "type": "integer", "description": "Maximum number of results to extract per search query.", "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 } } } } } } } } } } ```