Facebook Pages Scraper avatar
Facebook Pages Scraper

Pricing

$9.00 / 1,000 results

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Facebook Pages Scraper

Facebook Pages Scraper

Developed by

Making Data Meaningful

Maintained by Community

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

6

Monthly users

25

Runs succeeded

>99%

Last modified

4 months ago

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.

1# Start Server-Sent Events (SSE) session and keep it running
2curl "https://actors-mcp-server.apify.actor/sse?token=<YOUR_API_TOKEN>&actors=making-data-meaningful/facebook-pages-scraper"
3
4# Session id example output:
5# event: endpoint
6# data: /message?sessionId=9d820491-38d4-4c7d-bb6a-3b7dc542f1fa

Using Facebook Pages Scraper | Facebook Extractor via Model Context Protocol (MCP) server

MCP server lets you use Facebook Pages Scraper | Facebook Extractor within your AI workflows. Send API requests to trigger actions and receive real-time results. Take the received sessionId and use it to communicate with the MCP server. The message starts the Facebook Pages Scraper | Facebook Extractor Actor with the provided input.

1curl -X POST "https://actors-mcp-server.apify.actor/message?token=<YOUR_API_TOKEN>&session_id=<SESSION_ID>" -H "Content-Type: application/json" -d '{
2  "jsonrpc": "2.0",
3  "id": 1,
4  "method": "tools/call",
5  "params": {
6    "arguments": {
7      "urlSupplier": "https://www.facebook.com/RiataDental"
8},
9    "name": "making-data-meaningful/facebook-pages-scraper"
10  }
11}'

The response should be: Accepted. You should received response via SSE (JSON) as:

1event: message
2data: {
3  "result": {
4    "content": [
5      {
6        "type": "text",
7        "text": "ACTOR_RESPONSE"
8      }
9    ]
10  }
11}

Configure local MCP Server via standard input/output for Facebook Pages Scraper | Facebook Extractor

You can connect to the MCP Server using clients like ClaudeDesktop and LibreChat or build your own. The server can run both locally and remotely, giving you full flexibility. Set up the server in the client configuration as follows:

1{
2  "mcpServers": {
3    "actors-mcp-server": {
4      "command": "npx",
5      "args": [
6        "-y",
7        "@apify/actors-mcp-server",
8        "--actors",
9        "making-data-meaningful/facebook-pages-scraper"
10      ],
11      "env": {
12        "APIFY_TOKEN": "<YOUR_API_TOKEN>"
13      }
14    }
15  }
16}

You can further access the MCP client through the Tester MCP Client, a chat user interface to interact with the server.

To get started, check out the documentation and example clients. If you are interested in learning more about our MCP server, check out our blog post.

Pricing

Pricing model

Pay per result 

This Actor is paid per result. You are not charged for the Apify platform usage, but only a fixed price for each dataset of 1,000 items in the Actor outputs.

Price per 1,000 items

$9.00