You can access the Linkedin Comment 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/?actors=capable_cauldron/linkedin-comment-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

Configure MCP server with LinkedIn Comment Scraper - Extract Comments from LinkedIn

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/?actors=capable_cauldron/linkedin-comment-scraper 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/?actors=capable_cauldron/linkedin-comment-scraper",
            "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.

Linkedin comment scraper

curious_coder/linkedin-comment-scraper

Scrape comments from any linkedin post with following details: Comment text, Comment author details, Total Likes, Total replies, etc

Curious Coder

815

Linkedin Post Comments Scraper

bhansalisoft/linkedin-post-comments-scraper

Linkedin Post Comments Scraper - Easily extract comments from any LinkedIn post with our LinkedIn Post Comments Scraper. Fast, secure, and no coding required.

bhansalisoft

Linkedin Post Comments,Replies,Engagements Scraper | No Cookies

apimaestro/linkedin-post-comments-replies-engagements-scraper-no-cookies

Scrape in Batch all LinkedIn post related data including comments, stats, , reactions, replies and media attachments

API Maestro

1.1K

4.4

Linkedin Profile Comments [NO COOKIES]

apimaestro/linkedin-profile-comments

Linkedin User comments scraper: Extract comments LinkedIn profiles and users including post content, reactions, stats, media attachments and more.

API Maestro

396

5.0

Linkedin post scraper

curious_coder/linkedin-post-search-scraper

Scrape linkedin posts or updates from linkedin post search results. Supports advanced linkedin search filters. Extract posts from any linkedin member

Curious Coder

7.3K

3.8

LinkedIn Posts Scraper

pratikdani/linkedin-posts-scraper

Scrape LinkedIn posts data from LinkedIn Post URLs.

Pratik Dani

403

5.0

Linkedin Posts Informations Scraper

saswave/linkedin-posts-informations-parser

Scrape linkedin posts from linkedin post search results, url post or linkedin member. Supports advanced linkedin search filters. Extract posts data at scale.