Linkedin Post Scraper
Pricing
$14.99/month + usage
Linkedin Post Scraper
Extract rich, structured data from LinkedIn posts with our high-performance, AI-friendly scraping solution. Perfect for content analysis, social listening, and market research.
0.0 (0)
Pricing
$14.99/month + usage
1
Total users
18
Monthly users
7
Runs succeeded
77%
Issues response
35 days
Last modified
2 months ago
You can access the Linkedin Post Scraper 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": { "local-actors-mcp-server": { "command": "npx", "args": [ "-y", "@apify/actors-mcp-server", "--actors", "logical_scrapers/linkedin-post-scraper" ], "env": { "APIFY_TOKEN": "<YOUR_API_TOKEN>" } } }}Configure MCP server with scrape post from linkedin
You can interact with the MCP server via standard input/output - stdio (as shown above), which is ideal for local integrations and command-line tools such as the Claude desktop client, or you can interact with the server through Server-Sent Events (SSE) to send messages and receive responses, which looks as follows:
{ "mcpServers": { "remote-actors-mcp-server": { "type": "sse", "url": "https://mcp.apify.com/sse?actors=logical_scrapers/linkedin-post-scraper", "headers": { "Authorization": "Bearer <YOUR_API_TOKEN>" } } }}You can connect to the Apify MCP Server using clients like Tester MCP Client, or any other supported 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.
