
Linkedin Profile Scraper
Pricing
$20.00/month + usage

Linkedin Profile Scraper
π Fastest linkedin profile scraper. Easily extract comprehensive LinkedIn profile data, including name, headline, industry, location, experience, education, skills, certifications, and more. Automates LinkedIn data collection for lead generation, recruiting, research, and competitive analysis.
4.2 (2)
Pricing
$20.00/month + usage
12
Total users
193
Monthly users
34
Runs succeeded
99%
Issues response
11 hours
Last modified
2 months ago
You can access the Linkedin Profile 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, youβll need an Apify account and your API token, found in Integrations settings in Apify Console.
$# Start Server-Sent Events (SSE) session and keep it running<curl "https://actors-mcp-server.apify.actor/sse?token=<YOUR_API_TOKEN>&actors=logical_scrapers/linkedin-profile-scraper"
# Session id example output:# event: endpoint# data: /message?sessionId=9d820491-38d4-4c7d-bb6a-3b7dc542f1fa
Using Linkedin profile scraper via Model Context Protocol (MCP) server
MCP server lets you use Linkedin profile scraper within your AI workflows. Send API requests to trigger actions and receive real-time results. Take the received sessionId
and use it to communicate with the MCP server. The message starts the Linkedin profile scraper Actor with the provided input.
$curl -X POST "https://actors-mcp-server.apify.actor/message?token=<YOUR_API_TOKEN>&session_id=<SESSION_ID>" -H "Content-Type: application/json" -d '{$ "jsonrpc": "2.0",$ "id": 1,$ "method": "tools/call",$ "params": {$ "arguments": {$ "urls": [$ "https://www.linkedin.com/in/williamhgates/"$ ],$ "cookies": []$},$ "name": "logical_scrapers/linkedin-profile-scraper"$ }$}'
The response should be: Accepted
. You should received response via SSE (JSON) as:
$event: message$data: {$ "result": {$ "content": [$ {$ "type": "text",$ "text": "ACTOR_RESPONSE"$ }$ ]$ }$}
Configure local MCP Server via standard input/output for Linkedin profile scraper
You can connect to the MCP Server using clients like ClaudeDesktop and LibreChat or build your own. The server can run both locally and remotely, giving you full flexibility. Set up the server in the client configuration as follows:
{ "mcpServers": { "actors-mcp-server": { "command": "npx", "args": [ "-y", "@apify/actors-mcp-server", "--actors", "logical_scrapers/linkedin-profile-scraper" ], "env": { "APIFY_TOKEN": "<YOUR_API_TOKEN>" } } }}
You can further access the MCP client through the Tester MCP Client, a chat user interface to interact with the server.
To get started, check out the documentation and example clients. If you are interested in learning more about our MCP server, check out our blog post.