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
8
Monthly users
8
Runs succeeded
>99%
Last modified
3 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.
1from apify_client import ApifyClient2
3# Initialize the ApifyClient with your Apify API token4# Replace '<YOUR_API_TOKEN>' with your token.5client = ApifyClient("<YOUR_API_TOKEN>")6
7# Prepare the Actor input8run_input = {}9
10# Run the Actor and wait for it to finish11run = client.actor("sameh.jarour/linkedin-enhanced-mcp-server").call(run_input=run_input)12
13# Fetch and print Actor results from the run's dataset (if there are any)14print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])15for item in client.dataset(run["defaultDatasetId"]).iterate_items():16 print(item)17
18# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startLinkedin MCP Server API in Python
The Apify API client for Python is the official library that allows you to use Linkedin Enhanced MCP Server API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include:
