Linkedin Company Details Scraper & Finder (No Cookies) ✅ Bulk avatar
Linkedin Company Details Scraper & Finder (No Cookies) ✅ Bulk

Pricing

$4.00 / 1,000 companies

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Linkedin Company Details Scraper & Finder (No Cookies) ✅ Bulk

Linkedin Company Details Scraper & Finder (No Cookies) ✅ Bulk

Developed by

HarvestAPI

HarvestAPI

Maintained by Community

Extract detailed information from LinkedIn Companies such as company name, address, phone numbers, website, employee count, and more. Find LinkedIn company URLs by name in Bulk. No cookies or account required.

5.0 (1)

Pricing

$4.00 / 1,000 companies

14

Total users

189

Monthly users

153

Runs succeeded

>99%

Last modified

16 days ago

You can access the Linkedin Company Details Scraper & Finder (No Cookies) ✅ Bulk 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-company",
"--header",
"Authorization: Bearer <YOUR_API_TOKEN>"
]
}
}
}

Configure MCP server with Linkedin Company Details Scraper & Finder (No Cookies) ✅ Bulk

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-company 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-company",
"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.