You can access the PRO Post Reactions LinkedIn 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.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=atomus/linkedin-reactions-scraper-pro",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

Configure MCP server with PRO Post Reactions LinkedIn Scraper

Get a ready-to-use configuration for your MCP client with the PRO Post Reactions LinkedIn Scraper Actor preconfigured at mcp.apify.com?tools=atomus/linkedin-reactions-scraper-pro .

You can connect to the Apify MCP Server using clients like Tester MCP Client, or any other 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.

Linkedin post reactions scraper

curious_coder/linkedin-post-reactions-scraper

Scrape reactions or likes from linkedin post

Curious Coder

618

Profile Reactions Scraper for LinkedIn [No Cookies]

apimaestro/linkedin-profile-reactions

Linkedin User Reactions Scraper: Extract reactions for LinkedIn profiles and users including post content, reactions, stats, article, media attachments and more.