LinkedIn posts - Discover by profile URL avatar
LinkedIn posts - Discover by profile URL

Pricing

$1.99 / 1,000 results

Go to Store
LinkedIn posts - Discover by profile URL

LinkedIn posts - Discover by profile URL

Developed by

AUTOScraping

AUTOScraping

Maintained by Community

Scrape public LinkedIn posts from any profile URL. Get structured data like post text, hashtags, mentions, links, and images — no login required. Fast and proxy-free. Pricing: $1.99/1000 results.

0.0 (0)

Pricing

$1.99 / 1,000 results

0

15

15

Last modified

2 days ago

You can access the LinkedIn posts - Discover by profile URL 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=autoscraping/linkedin-posts-discover-by-profile-url",
"--header",
"Authorization: Bearer <YOUR_API_TOKEN>"
]
}
}
}

Configure MCP server with LinkedIn post scraper by profile URL

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=autoscraping/linkedin-posts-discover-by-profile-url 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=autoscraping/linkedin-posts-discover-by-profile-url",
"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.