Pricing

$25.00/month + usage

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Linkedin Posts Reactions Scraper

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Developed by

SASWAVE

Extract people who comments, mentions and likes from linkedin post or article. Allows you to extract all interactions / reactions from a url. Input can be a /posts url or article url. Also provide a /company or /in url and it will parse multiple posts from the source (organic and promoted LinkedIn)

0.0 (0)

Pricing

$25.00/month + usage

Total users

286

Monthly users

Runs succeeded

85%

Issues response

2.7 hours

Last modified

16 days ago

Lead generation

Automation

You can access the Linkedin Posts Reactions 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/sse?actors=saswave/linkedin-posts-interactions-parser",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

Configure MCP server with Linkedin Posts Reactions Scraper

You have a few options for interacting with the MCP server:

Use mcp.apify.com via mcp-remote from your local machine to connect and authenticate using OAuth or an API token (as shown in the JSON configuration above).
Set up the connection directly in your MCP client UI by providing the URL https://mcp.apify.com/sse?actors=saswave/linkedin-posts-interactions-parser along with an API token (or use OAuth).
Connect to mcp.apify.com via Server-Sent Events (SSE), as shown below:

{
    "mcpServers": {
        "apify": {
            "type": "sse",
            "url": "https://mcp.apify.com/sse?actors=saswave/linkedin-posts-interactions-parser",
            "headers": {
                "Authorization": "Bearer <YOUR_API_TOKEN>"
            }
        }
    }
}

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.

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