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Facebook Page Details Scraper

Pricing

$10.00/month + usage

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Facebook Page Details Scraper

Facebook Page Details Scraper

Developed by

ScrapeVerse

ScrapeVerse

Maintained by Community

Unlock the full potential of your social media analysis with Facebook Page Details Scraper! Efficiently extract comprehensive data including names, URLs, categories, likes, check-ins, contact details, and more. Ideal for competitive analysis, market research, and trend monitoring. πŸš€

0.0 (0)

Pricing

$10.00/month + usage

3

Total users

72

Monthly users

11

Runs succeeded

>99%

Last modified

10 months ago

You can access the Facebook Page Details 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.

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

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

MCP server lets you use Facebook Page Details 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 Details Scraper Actor with the provided input.

$curl -X POST "https://actors-mcp-server.apify.actor/message?token=<YOUR_API_TOKEN>&session_id=<SESSION_ID>" -H "Content-Type: application/json" -d '{
$ "jsonrpc": "2.0",
$ "id": 1,
$ "method": "tools/call",
$ "params": {
$ "arguments": {
$ "urls": [
$ {
$ "url": "https://www.facebook.com/rebekahradicellc"
$ }
$ ],
$ "proxy": {
$ "useApifyProxy": true,
$ "apifyProxyGroups": [
$ "RESIDENTIAL"
$ ]
$ }
$},
$ "name": "sanjeta/facebook-page-details-scraper"
$ }
$}'

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

$event: message
$data: {
$ "result": {
$ "content": [
$ {
$ "type": "text",
$ "text": "ACTOR_RESPONSE"
$ }
$ ]
$ }
$}

Configure local MCP Server via standard input/output for Facebook Page Details 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:

{
"mcpServers": {
"actors-mcp-server": {
"command": "npx",
"args": [
"-y",
"@apify/actors-mcp-server",
"--actors",
"sanjeta/facebook-page-details-scraper"
],
"env": {
"APIFY_TOKEN": "<YOUR_API_TOKEN>"
}
}
}
}

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.