LinkedIn Profile Posts Bulk Scraper (No Cookies)⚡$2 per 1k avatar
LinkedIn Profile Posts Bulk Scraper (No Cookies)⚡$2 per 1k

Pricing

$2.00 / 1,000 posts

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LinkedIn Profile Posts Bulk Scraper (No Cookies)⚡$2 per 1k

LinkedIn Profile Posts Bulk Scraper (No Cookies)⚡$2 per 1k

Developed by

HarvestAPI

HarvestAPI

Maintained by Community

Extract posts from LinkedIn profiles including content, media, engagement, reactions, comments and more. No cookies or account required. Concurrency + fast response times make mass scraping fast ⚡

4.0 (3)

Pricing

$2.00 / 1,000 posts

35

Total users

361

Monthly users

276

Runs succeeded

>99%

Issues response

12 hours

Last modified

10 days ago

You can access the LinkedIn Profile Posts Bulk Scraper (No Cookies)⚡$2 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-posts",
"--header",
"Authorization: Bearer <YOUR_API_TOKEN>"
]
}
}
}

Configure MCP server with LinkedIn Profile Posts Bulk Scraper (No Cookies)⚡$2 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-posts 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-posts",
"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.