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Facebook Likes Scraper

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Facebook Likes Scraper

Facebook Likes Scraper

Developed by

Apify

Apify

Maintained by Apify

Extract Facebook likes data from one or multiple Facebook posts. Get post URL, reaction type (like, love, care, sad, angry, laugh), and basic liker info such as Facebook name and profile URL. Download the data in JSON, CSV Excel and use it in apps, spreadsheets, and reports.

4.6 (7)

Pricing

from $2.60 / 1,000 results

25

Total users

2.2K

Monthly users

260

Runs succeeded

>99%

Issues response

2.9 days

Last modified

17 hours ago

You can access the Facebook Likes 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",
"apify/facebook-likes-scraper"
],
"env": {
"APIFY_TOKEN": "<YOUR_API_TOKEN>"
}
}
}
}

Configure MCP server with ❤︎ Facebook Likes 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=apify/facebook-likes-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.