# Facebook Pages Scraper (`competent_clarinet/facebook-pages-scraper`) Actor Scrapes public Facebook page information (name, followers, contact details, business hours, and more) using the facebook-pages-scraper library. Supports multiple pages per run with configurable concurrency and request pacing. - **URL**: https://apify.com/competent\_clarinet/facebook-pages-scraper.md - **Developed by:** [Man Mohit verma](https://apify.com/competent_clarinet) (community) - **Categories:** Lead generation, Social media, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## 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 ### What does Facebook Pages Scraper do? Facebook Pages Scraper collects public information from Facebook pages in a single run. For each page it extracts the profile (name, followers, likes, category, contact tiles), optional About and transparency details, business hours, and reels when available. Use it to enrich lead lists, monitor brand pages, or export structured Facebook page data at scale. ### Features - Scrape **multiple Facebook pages** in one Actor run - Accept **URLs, usernames, or numeric page ids** as input - Fetch optional **About** and **transparency** page details - Optional **Apify Proxy** support for improved reliability - Configurable **concurrency** and **request pacing** ### Input Configure the Actor in the **Input** tab. Main fields: | Field | Description | |-------|-------------| | `pages` | **Required.** Facebook page URLs, usernames, page ids, or objects with `url` and optional `id`. | | `maxConcurrency` | Max pages scraped in parallel (default: `2`). Keep low to reduce rate limiting. | | `requestDelaySecs` | Delay before starting each subsequent page (default: `2`). | | `includeAbout` | Fetch About-tab contact and business details (default: `true`). | | `includeTransparency` | Fetch transparency tab data (default: `true`). | | `proxyConfiguration` | Optional proxy settings to improve scraping reliability. | #### Page examples Simple list: ```json [ "https://www.facebook.com/nike", "100065149776209", "shrilooms" ] ```` With optional caller ids (echoed in output as `sourceId`): ```json [ { "id": "campaign-1", "url": "https://www.facebook.com/nike" } ] ``` Page-only id object: ```json [ { "id": "100065149776209" } ] ``` ### Output Results are saved to the default dataset. You can download them as **JSON, CSV, Excel, HTML, XML, or RSS** from the run's **Storage** tab. Each row is one input page. Main fields include: | Field | Description | |-------|-------------| | `success` | Whether the page was scraped successfully | | `inputUrl` | Normalized input URL | | `sourceId` | Your optional caller identifier | | `pageId` | Facebook profile user id | | `pageName` | Page username / slug | | `followers` / `likes` | Numeric counts with text labels | | `phone`, `email`, `website`, `address` | Contact fields when available | | `businessHours` / `businessHoursSchedule` | Hours summary and per-day schedule | | `transparency` | Creation date, ad status, admin info | | `about` | Structured About-tab data | | `reels` | Page reels when present | Failed pages include an `error` message and `success: false`. ### Tips - Start with **low concurrency** (`2`) and a **request delay** of a few seconds. - Enable **Apify Proxy** if you see frequent failed requests. - Pass numeric **page ids** when usernames are unavailable. # Actor input Schema ## `pages` (type: `array`): Facebook page URLs, usernames, or page ids to scrape. Each entry may be a URL string (e.g. https://www.facebook.com/nike), a username (e.g. nike), a numeric page id (e.g. 100065149776209), or an object with url and optional id (caller reference). An object may also use id alone when it contains a Facebook page id. ## `maxConcurrency` (type: `integer`): Maximum number of pages to scrape in parallel. Keep this low to reduce the risk of Facebook rate limiting. ## `requestDelaySecs` (type: `number`): Delay before starting each subsequent page scrape. Helps pace requests when scraping many pages. ## `includeAbout` (type: `boolean`): Fetch and parse the page About tab (?sk=about) for additional contact and business details. ## `includeTransparency` (type: `boolean`): Fetch and parse the transparency tab (?sk=about\_profile\_transparency) for creation date and ad status. ## `proxyConfiguration` (type: `object`): Optional fallback proxy. Direct HTML requests are tried first; proxy is used after a login redirect or HTTP 429. Further failures on proxy rotate the session up to 3 times. ## Actor input object example ```json { "pages": [ "https://www.facebook.com/facebook" ], "maxConcurrency": 2, "requestDelaySecs": 2, "includeAbout": true, "includeTransparency": true, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } ``` # Actor output Schema ## `pages` (type: `string`): Dataset items with scraped Facebook page information. # 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/facebook" ], "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }; // Run the Actor and wait for it to finish const run = await client.actor("competent_clarinet/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/facebook"], "proxyConfiguration": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], }, } # Run the Actor and wait for it to finish run = client.actor("competent_clarinet/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/facebook" ], "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }' | apify call competent_clarinet/facebook-pages-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=competent_clarinet/facebook-pages-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Facebook Pages Scraper", "description": "Scrapes public Facebook page information (name, followers, contact details, business hours, and more) using the facebook-pages-scraper library. Supports multiple pages per run with configurable concurrency and request pacing.", "version": "0.1", "x-build-id": "gfBGiVuJR28KA82pG" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/competent_clarinet~facebook-pages-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-competent_clarinet-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/competent_clarinet~facebook-pages-scraper/runs": { "post": { "operationId": "runs-sync-competent_clarinet-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/competent_clarinet~facebook-pages-scraper/run-sync": { "post": { "operationId": "run-sync-competent_clarinet-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": "Facebook page URLs, usernames, or page ids to scrape. Each entry may be a URL string (e.g. https://www.facebook.com/nike), a username (e.g. nike), a numeric page id (e.g. 100065149776209), or an object with url and optional id (caller reference). An object may also use id alone when it contains a Facebook page id." }, "maxConcurrency": { "title": "Max concurrency", "minimum": 1, "maximum": 20, "type": "integer", "description": "Maximum number of pages to scrape in parallel. Keep this low to reduce the risk of Facebook rate limiting.", "default": 2 }, "requestDelaySecs": { "title": "Request delay (seconds)", "minimum": 0, "maximum": 60, "type": "number", "description": "Delay before starting each subsequent page scrape. Helps pace requests when scraping many pages.", "default": 2 }, "includeAbout": { "title": "Include About tab", "type": "boolean", "description": "Fetch and parse the page About tab (?sk=about) for additional contact and business details.", "default": true }, "includeTransparency": { "title": "Include transparency tab", "type": "boolean", "description": "Fetch and parse the transparency tab (?sk=about_profile_transparency) for creation date and ad status.", "default": true }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Optional fallback proxy. Direct HTML requests are tried first; proxy is used after a login redirect or HTTP 429. Further failures on proxy rotate the session up to 3 times." } } }, "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 } } } } } } } } } } ```