Facebook Page Search Results Scraper avatar

Facebook Page Search Results Scraper

Try for free

2 hours trial then $19.00/month - No credit card required now

Go to Store
Facebook Page Search Results Scraper

Facebook Page Search Results Scraper

memo23/apify-facebook-page-search-scraper
Try for free

2 hours trial then $19.00/month - No credit card required now

Scrape facebook pages from search results and get important details such as page name, description, photo url, is verified, tag or category, reviews, price range, location, hours open, number of followers and page link.

Developer
Maintained by Community

Actor Metrics

  • 2 monthly users

  • No reviews yet

  • 3 bookmarks

  • 0% runs succeeded

  • Created in Feb 2024

  • Modified 2 months ago

You can access the Facebook Page Search Results 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=memo23/apify-facebook-page-search-scraper"
3
4# Session id example output:
5# event: endpoint
6# data: /message?sessionId=9d820491-38d4-4c7d-bb6a-3b7dc542f1fa

Using Facebook Page Search Results Scraper via Model Context Protocol (MCP) server

MCP server lets you use Facebook Page Search Results Scraper 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 Page Search Results Scraper 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      "startUrls": [
8            "https://www.facebook.com/search/pages/?q=medical"
9      ],
10      "cookies": [],
11      "proxyConfiguration": {
12            "useApifyProxy": true
13      }
14},
15    "name": "memo23/apify-facebook-page-search-scraper"
16  }
17}'

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 Page Search Results Scraper

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        "memo23/apify-facebook-page-search-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.