Pricing

$15.00/month + usage

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Linkedin Posts Scraper 🍪 No Cookies 🍪

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Developed by

SASWAVE

Linkedin post data web scraper, allow you to extract multiple informations from a direct post url. Likes, comments, content, video, image, document, article link, exact date and time of post publication, transcript, SRT subtitles. Saves a lot of manual time and is optimised for less infra costs

0.0 (0)

Pricing

$15.00/month + usage

Last modified

11 days ago

Lead generation

Social media

Automation

You can access the Linkedin Posts 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/?actors=saswave/linkedin-posts-scraper-no-cookies",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

Configure MCP server with Linkedin Posts Scraper 🍪 No Cookies 🍪

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=saswave/linkedin-posts-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/?actors=saswave/linkedin-posts-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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