Mass LinkedIn Profile Scrapper (no cookies 🍪) for 👤 & 🏛️

Pricing

$100.00 / 1,000 profiles

Try for free

Go to Apify Store

Mass LinkedIn Profile Scrapper (no cookies 🍪) for 👤 & 🏛️

Try for free

Developed by

Anchor

Maintained by Community

Import your file and see your contacts being enriched with LinkedIn data, simply from your list of LinkedIn URL of people or company. Get a fully functional list of leads, that you can qualify for cheap. Enrich your file with valuable LinkedIn data with n8n or make. No cookies required.

1.1 (4)

Pricing

$100.00 / 1,000 profiles

2.6K

151

Issues response

12 hours

Last modified

5 days ago

Lead generation

Automation

Integrations

You can access the Mass LinkedIn Profile Scrapper (no cookies 🍪) for 👤 & 🏛️ 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=anchor/linkedin-profile-enrichment",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

Configure MCP server with Cheap Mass LinkedIn Profile Scrapper (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=anchor/linkedin-profile-enrichment 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=anchor/linkedin-profile-enrichment",
            "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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