# Facebook Page Details Scraper (Cookieless) (`iron-crawler/facebook-page-details`) Actor Bulk extract Facebook page details into JSON/CSV instantly. Zero-config automation designed for accelerating B2B sales intelligence and lead enrichment pipelines. - **URL**: https://apify.com/iron-crawler/facebook-page-details.md - **Developed by:** [Iron Crawler](https://apify.com/iron-crawler) (community) - **Categories:** Automation, Lead generation, Social media - **Stats:** 6 total users, 2 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $1.50 / 1,000 results This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. 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 Page Details Scraper (Cookieless) ### What does Facebook Page Details Scraper (Cookieless) do? This tool extracts comprehensive page information from Facebook pages without requiring any login credentials or cookies. Built with a cookieless architecture, it allows sales intelligence professionals, marketers, and researchers to gather public Facebook page data efficiently and at scale. You can access page details, engagement metrics, and profile information without authentication barriers, making it ideal for building lead databases and competitive intelligence workflows. **Key Features:** - Extract page details without Facebook login or cookies - Scrape page names, descriptions, categories, and verification status - Capture follower counts, likes, and engagement metrics - Export data to JSON, CSV, or Excel formats - Process multiple pages in a single run - Access public page information compliantly ### Why scrape Facebook page data? Sales intelligence professionals need detailed page information to build comprehensive lead databases and accelerate B2B prospecting efforts. Facebook pages contain valuable business signals including company size indicators, industry categories, contact information, and engagement levels that help qualify leads and prioritize outreach. This data transforms social profiles into actionable sales intelligence. **Primary Use Cases:** - **Lead Generation:** Build targeted prospect lists by extracting business pages matching your ideal customer profile, including industry, location, and follower count criteria - **Market Research:** Analyze competitor pages, track brand presence across regions, and identify emerging players in your target markets - **Sales Enrichment:** Enhance existing CRM records with social proof metrics, engagement data, and updated business information from Facebook pages ### How to scrape Facebook using this tool? **Step 1:** Locate the Facebook page URL you want to scrape. Navigate to the target page and copy the full URL from your browser (e.g., https://www.facebook.com/facebook). **Step 2:** Configure your input parameters by pasting the page URL into the `pageUrl` field. You can process multiple pages by adding additional URLs. **1 page ≈ 1 Facebook page profile** with all available public details. **Step 3:** Run the scraper and wait for extraction to complete. Once finished, download your data in JSON, CSV, or Excel format directly from the Apify platform. ### What are the input parameters? | Field | Type | Description | |-------|------|-------------| | `pageUrl` | String (URL) | The full Facebook page URL you want to scrape (e.g., https://www.facebook.com/facebook). Accepts standard Facebook page URLs. | ### What data can you extract? You can download the following data in JSON, CSV, or Excel formats: ```json { ""page_url"": ""https://www.facebook.com/apify"", ""title"": ""Apify - Web Scraping and Automation Platform"", ""meta_description"": ""Apify is a platform that enables developers to build, run, and share web scraping and automation tools. Extract data from any website."", ""last_modified"": ""2025-12-17T14:22:18Z"", ""word_count"": 2341, ""author"": ""Apify Team"", ""read_time_minutes"": 12, ""social_shares"": 1847 } ```` **Extracted Fields:** - `page_url`: The complete Facebook page URL - `title`: Page name and headline - `meta_description`: Page description and about section - `last_modified`: Timestamp of last page update - `word_count`: Total word count from page content - `author`: Page administrator or author information - `read_time_minutes`: Estimated reading time for page content - `social_shares`: Total engagement and share count *** This web scraping tool serves as a powerful data extraction tool for professionals who need to export website data from Facebook at scale. Whether you're building a product data scraper workflow, conducting lead generation scraping, or creating a price data scraper for competitive analysis, this web scraper delivers reliable Facebook page intelligence without authentication complexity." # Actor input Schema ## `pageUrl` (type: `string`): Page URL ## Actor input object example ```json { "pageUrl": "https://www.facebook.com/facebook" } ``` # 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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("iron-crawler/facebook-page-details").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 = {} # Run the Actor and wait for it to finish run = client.actor("iron-crawler/facebook-page-details").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 '{}' | apify call iron-crawler/facebook-page-details --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=iron-crawler/facebook-page-details", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Facebook Page Details Scraper (Cookieless)", "description": "Bulk extract Facebook page details into JSON/CSV instantly. Zero-config automation designed for accelerating B2B sales intelligence and lead enrichment pipelines.", "version": "1.0", "x-build-id": "odTqnB8WUFFgtnOga" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/iron-crawler~facebook-page-details/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-iron-crawler-facebook-page-details", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/iron-crawler~facebook-page-details/runs": { "post": { "operationId": "runs-sync-iron-crawler-facebook-page-details", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/iron-crawler~facebook-page-details/run-sync": { "post": { "operationId": "run-sync-iron-crawler-facebook-page-details", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "pageUrl" ], "properties": { "pageUrl": { "title": "Page URL", "type": "string", "description": "Page URL", "default": "https://www.facebook.com/facebook" } } }, "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 } } } } } } } } } } ```