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$5.00 / 1,000 results

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Linkedin Posts Search Scraper | No Cookies

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API Maestro

Scrape LinkedIn posts by keyword without login. Get post content, reactions, author details, and media. Sort by relevance or date. Perfect for research, analysis, and monitoring trends.

3.9 (7)

Pricing

$5.00 / 1,000 results

Total users

527

Monthly users

391

Runs succeeded

>99%

Issues response

13 hours

Last modified

6 days ago

Automation

Lead generation

You can access the Linkedin Posts Search Scraper | 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.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/sse?actors=apimaestro/linkedin-posts-search-scraper-no-cookies",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

Configure MCP server with LinkedIn Posts Search Scraper – No Login Required

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-posts-search-scraper-no-cookies 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-posts-search-scraper-no-cookies",
            "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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