Facebook Posts/Comments Scraper
Pricing
$25.00/month + usage
Facebook Posts/Comments Scraper
Facebook Post Scraper with Comments extracts Facebook post details, including text, author info, likes, shares, and media. It also scrapes comments with user details, engagement metrics, and timestamps. Ideal for social media monitoring, sentiment analysis, and audience insights.
0.0 (0)
Pricing
$25.00/month + usage
3
Total users
54
Monthly users
29
Runs succeeded
>99%
Issues response
0.26 hours
Last modified
13 days ago
You can access the Facebook Posts/Comments 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=alien_force/facebook-posts-comments-scraper"
# Session id example output:# event: endpoint# data: /message?sessionId=9d820491-38d4-4c7d-bb6a-3b7dc542f1faUsing Facebook Posts/Comments Scraper via Model Context Protocol (MCP) server
MCP server lets you use Facebook Posts/Comments 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 Posts/Comments 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": {$ "post_urls": [$ {$ "url": "https://www.facebook.com/thewitcherfanclub/posts/pfbid02reBdcEgYdgLLP92A7ZJ6KLPcNq3LHha9TjYi2k2ytbeS2q2rxkhCqAWy2m6j3TkRl"$ }$ ]$},$ "name": "alien_force/facebook-posts-comments-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 Posts/Comments 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", "alien_force/facebook-posts-comments-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.
