Facebook Comments Scraper avatar
Facebook Comments Scraper

Pricing

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Facebook Comments Scraper

Facebook Comments Scraper

Developed by

Scraper One

Scraper One

Maintained by Community

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. πŸš€

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, you’ll 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.