Linkedin Enhanced MCP Server
Pricing
Pay per event
Linkedin Enhanced MCP Server
A comprehensive MCP server providing 5 LinkedIn scraping tools and research prompts powered by Apify actors. Extract profiles, analyze posts, search jobs, and conduct professional research with built-in intelligence workflows.
0.0 (0)
Pricing
Pay per event
0
Total users
9
Monthly users
9
Runs succeeded
>99%
Last modified
5 days ago
You can access the Linkedin Enhanced MCP Server 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.
1import { ApifyClient } from 'apify-client';2
3// Initialize the ApifyClient with your Apify API token4// Replace the '<YOUR_API_TOKEN>' with your token5const client = new ApifyClient({6 token: '<YOUR_API_TOKEN>',7});8
9// Prepare Actor input10const input = {};11
12// Run the Actor and wait for it to finish13const run = await client.actor("sameh.jarour/linkedin-enhanced-mcp-server").call(input);14
15// Fetch and print Actor results from the run's dataset (if any)16console.log('Results from dataset');17console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);18const { items } = await client.dataset(run.defaultDatasetId).listItems();19items.forEach((item) => {20 console.dir(item);21});22
23// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docsLinkedin MCP Server API in JavaScript
The Apify API client for JavaScript is the official library that allows you to use Linkedin Enhanced MCP Server API in JavaScript or TypeScript, providing convenience functions and automatic retries on errors.
Install the apify-client
$npm install apify-clientOther API clients include:
