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Facebook Pages Scraper

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Making Data Meaningful

Facebook scraping tool designed to crawl and extract essential data from one or multiple Facebook Pages. It retrieves information such as the Facebook page name, page URL address, category, number of likes, business address, phone number, and other publicly available data.

0.0 (0)

Pricing

$9.00 / 1,000 results

Total users

203

Monthly users

Runs succeeded

>99%

Issues response

0.013 hours

Last modified

4 days ago

Automation

Lead generation

Social media

You can access the Facebook Pages Scraper programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/sse?actors=making-data-meaningful/facebook-pages-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

Configure MCP server with Facebook Pages Scraper | Facebook Extractor

You have a few options for interacting with the MCP server:

Use mcp.apify.com via mcp-remote from your local machine to connect and authenticate using OAuth or an API token (as shown in the JSON configuration above).
Set up the connection directly in your MCP client UI by providing the URL https://mcp.apify.com/sse?actors=making-data-meaningful/facebook-pages-scraper along with an API token (or use OAuth).
Connect to mcp.apify.com via Server-Sent Events (SSE), as shown below:

{
    "mcpServers": {
        "apify": {
            "type": "sse",
            "url": "https://mcp.apify.com/sse?actors=making-data-meaningful/facebook-pages-scraper",
            "headers": {
                "Authorization": "Bearer <YOUR_API_TOKEN>"
            }
        }
    }
}

You can connect to the Apify MCP Server using clients like Tester MCP Client, or any other MCP client of your choice.

If you want to learn more about our Apify MCP implementation, check out our MCP documentation. To learn more about the Model Context Protocol in general, refer to the official MCP documentation or read our blog post.

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