Linkedin Profile Comments [NO COOKIES] avatar
Linkedin Profile Comments [NO COOKIES]

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$5.00 / 1,000 results

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Linkedin Profile Comments [NO COOKIES]

Linkedin Profile Comments [NO COOKIES]

Developed by

API Maestro

API Maestro

Maintained by Community

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

5.0 (4)

Pricing

$5.00 / 1,000 results

20

Total users

334

Monthly users

115

Runs succeeded

>99%

Issues response

1.6 days

Last modified

25 days ago

You can access the Linkedin Profile Comments [NO COOKIES] 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": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/sse?actors=apimaestro/linkedin-profile-comments",
"--header",
"Authorization: Bearer <YOUR_API_TOKEN>"
]
}
}
}

Configure MCP server with LinkedIn User Comments Scraper – No Login Needed

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=apimaestro/linkedin-profile-comments 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=apimaestro/linkedin-profile-comments",
"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.