# Facebook Pages Scraper (`seemuapps/facebook-pages-scraper`) Actor Scrape public Facebook Page details in bulk followers, likes, category, contact info, website, ratings, and whether the Page is running ads. - **URL**: https://apify.com/seemuapps/facebook-pages-scraper.md - **Developed by:** [Andrew](https://apify.com/seemuapps) (community) - **Categories:** Developer tools, SEO tools, Social media - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $7.50 / 1,000 page 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 Pages Scraper Pull key details for any public Facebook Page in bulk — followers, category, contact info, ratings, and more. No login required. ### What you get - **Audience size**: follower count, page likes, and "talking about" count - **Business details**: category, page creation date, and whether it's an active business page - **Contact info**: phone number, website, and linked URLs — ready for outreach - **Ads signal**: whether the Page is currently running ads (great for competitor and prospecting research) - **Branding**: profile picture and cover photo URLs - **IDs**: both the numeric Page ID and profile ID - Feed in a whole list of Pages and get one clean row per Page — export to JSON, CSV, or Google Sheets ### Use cases - Lead generation — build outreach lists with contact details and audience size - Competitor analysis — compare follower counts, categories, and ad activity - Influencer and partner vetting — verify reach before you engage - CRM enrichment — append Facebook metrics to an existing list of brands ### How to use 1. Add one or more Facebook Pages to the **Facebook Pages** list — a full URL (`https://www.facebook.com/nike`), a handle (`nike`), or a numeric Page ID 2. Run the actor 3. Results appear in the **Dataset** tab — one record per Page, ready to export ### Output format Each dataset record: ```json { "input": "https://www.facebook.com/nike", "pageId": "15087023444", "profileId": "100044541544829", "name": "Nike", "url": "https://www.facebook.com/nike", "category": "Sportswear Store", "creationDate": "May 21, 2008", "followerCount": 39000000, "likeCount": 39600634, "talkingAboutCount": 106484, "ratingCount": null, "phone": "+48 58 881 27 61", "website": "http://nike.com/", "links": [], "isRunningAds": true, "adStatus": "This Page is currently running ads.", "isBusinessPageActive": false, "profilePicUrl": "https://scontent.xx.fbcdn.net/…", "coverPhotoUrl": "https://scontent.xx.fbcdn.net/…" } ```` ### Notes - Works on **public** Pages and profiles only. - Free-tier runs are capped at 50 Pages; paid plans remove the limit. # Actor input Schema ## `pages` (type: `array`): One or more Facebook Page/profile URLs (e.g. https://www.facebook.com/nike), handles (e.g. nike), or numeric Page IDs. Each returns one record. ## Actor input object example ```json { "pages": [ "https://www.facebook.com/nike", "https://www.facebook.com/nasa" ] } ``` # Actor output Schema ## `results` (type: `string`): Each record contains input, pageId, profileId, name, url, category, creationDate, followerCount, likeCount, talkingAboutCount, ratingCount, phone, website, links, isRunningAds, adStatus, isBusinessPageActive, profilePicUrl, and coverPhotoUrl. # 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 = { "pages": [ "https://www.facebook.com/nike", "https://www.facebook.com/nasa" ] }; // Run the Actor and wait for it to finish const run = await client.actor("seemuapps/facebook-pages-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 = { "pages": [ "https://www.facebook.com/nike", "https://www.facebook.com/nasa", ] } # Run the Actor and wait for it to finish run = client.actor("seemuapps/facebook-pages-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 '{ "pages": [ "https://www.facebook.com/nike", "https://www.facebook.com/nasa" ] }' | apify call seemuapps/facebook-pages-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=seemuapps/facebook-pages-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Facebook Pages Scraper", "description": "Scrape public Facebook Page details in bulk followers, likes, category, contact info, website, ratings, and whether the Page is running ads.", "version": "1.0", "x-build-id": "eLw8eNdYwsteayjDS" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/seemuapps~facebook-pages-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-seemuapps-facebook-pages-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/seemuapps~facebook-pages-scraper/runs": { "post": { "operationId": "runs-sync-seemuapps-facebook-pages-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/seemuapps~facebook-pages-scraper/run-sync": { "post": { "operationId": "run-sync-seemuapps-facebook-pages-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "pages" ], "properties": { "pages": { "title": "Facebook Pages", "type": "array", "description": "One or more Facebook Page/profile URLs (e.g. https://www.facebook.com/nike), handles (e.g. nike), or numeric Page IDs. Each returns one record.", "items": { "type": "string" } } } }, "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 } } } } } } } } } } ```