
Facebook Pages Posts PPR
Pay $2.99 for 1,000 results

Facebook Pages Posts PPR
Pay $2.99 for 1,000 results
Scrap Facebook pages posts fast and easy. It is designed to be fast and efficient, so it can extract a large number of results for low price. It is also less likely to be blocked by Facebook.
Actor Metrics
54 Monthly users
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>99% runs succeeded
4.7 hours response time
Created in Oct 2024
Modified a month ago
You can access the Facebook Pages Posts PPR 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=danek/facebook-pages-posts-ppr"
3
4# Session id example output:
5# event: endpoint
6# data: /message?sessionId=9d820491-38d4-4c7d-bb6a-3b7dc542f1fa
Using Facebook Pages Posts PPR via Model Context Protocol (MCP) server
MCP server lets you use Facebook Pages Posts PPR 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 Posts PPR 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 "page_url": "https://www.facebook.com/facebook",
8 "page_id": "100059174186752",
9 "max_posts": 10
10},
11 "name": "danek/facebook-pages-posts-ppr"
12 }
13}'
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 Posts PPR
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 "danek/facebook-pages-posts-ppr"
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.