
Facebook Comments Scraper
Pricing
Pay per event

Facebook Comments Scraper
Extract comments from Facebook posts provided as input URLs. Retrieve comment text, authors, timestamps, reactions, and more. Ideal for social media monitoring, sentiment analysis, and engagement tracking. π
0.0 (0)
Pricing
Pay per event
4
Total users
78
Monthly users
35
Runs succeeded
89%
Issues response
13 hours
Last modified
17 days ago
You can access the Facebook 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, youβll need an Apify account and your API token, found in Integrations settings in Apify Console.
{ "mcpServers": { "local-actors-mcp-server": { "command": "npx", "args": [ "-y", "@apify/actors-mcp-server", "--actors", "scraper_one/facebook-comments-scraper" ], "env": { "APIFY_TOKEN": "<YOUR_API_TOKEN>" } } }}
Configure MCP server with Facebook Comments Scraper
You can interact with the MCP server via standard input/output - stdio (as shown above), which is ideal for local integrations and command-line tools such as the Claude desktop client, or you can interact with the server through Server-Sent Events (SSE) to send messages and receive responses, which looks as follows:
{ "mcpServers": { "remote-actors-mcp-server": { "type": "sse", "url": "https://mcp.apify.com/sse?actors=scraper_one/facebook-comments-scraper", "headers": { "Authorization": "Bearer <YOUR_API_TOKEN>" } } }}
You can connect to the Apify MCP Server using clients like Tester MCP Client, or any other supported MCP client of your choice.
If you want to learn more about our Apify MCP implementation, check out our MCP documentation. To learn more about the Model Context Protocol in general, refer to the official MCP documentation or read our blog post.