Mass Linkedin Email Scraper
Pricing
$5.00/month + usage
Mass Linkedin Email Scraper
[๐๐ต๐ฒ๐ฎ๐ฝ๐ฒ๐๐ ๐ฃ๐ฟ๐ถ๐ฐ๐ฒ] The Mass/Bulk LinkedIn Email Scraper efficiently extracts email addresses from LinkedIn profiles based on targeted keywords. Perfect for recruitment, sales outreach, and networking, it offers fast, accurate results at 50% lower costs than competitors.
2.5 (3)
Pricing
$5.00/month + usage
23
Total users
417
Monthly users
135
Runs succeeded
>99%
Last modified
8 days ago
You can access the Mass Linkedin Email 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, youโll 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=scraper-mind/linkedin-email-scraper"
# Session id example output:# event: endpoint# data: /message?sessionId=9d820491-38d4-4c7d-bb6a-3b7dc542f1faUsing Linkedin Email Scraper via Model Context Protocol (MCP) server
MCP server lets you use Linkedin Email 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 Email 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": {$ "keywords": [$ "john",$ "marketing"$ ],$ "customDomains": [$ "@gmail.com"$ ]$},$ "name": "scraper-mind/linkedin-email-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 Email 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", "scraper-mind/linkedin-email-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.
