LinkedIn Profile Bulk Scraper (No Cookies) ⚡ $4 per 1k avatar
LinkedIn Profile Bulk Scraper (No Cookies) ⚡ $4 per 1k

Pricing

$4.00 / 1,000 profiles

Go to Store
LinkedIn Profile Bulk Scraper (No Cookies) ⚡ $4 per 1k

LinkedIn Profile Bulk Scraper (No Cookies) ⚡ $4 per 1k

Developed by

HarvestAPI

HarvestAPI

Maintained by Community

Extract detailed information from LinkedIn profiles, including complete work experience, education history, location and more. No cookies or account required. Concurrency + fast response times make mass scraping fast ⚡

4.0 (3)

Pricing

$4.00 / 1,000 profiles

20

Total users

335

Monthly users

216

Runs succeeded

>99%

Issues response

2.2 hours

Last modified

4 days ago

You can access the LinkedIn Profile Bulk Scraper (No Cookies) ⚡ $4 per 1k 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=harvestapi/linkedin-profile-scraper",
"--header",
"Authorization: Bearer <YOUR_API_TOKEN>"
]
}
}
}

Configure MCP server with LinkedIn Profile Bulk Scraper (No Cookies) ⚡ $4 per 1k

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=harvestapi/linkedin-profile-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/sse?actors=harvestapi/linkedin-profile-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.