🔥 Linkedin Bulk Email Lookup
Deprecated
Pricing
$79.00 / 1,000 results
🔥 Linkedin Bulk Email Lookup
Deprecated
ℹ️ OSINT | LinkedInLens reveals the unseen! Turn mere email addresses into rich, detailed LinkedIn profiles. Even private profiles can't stay hidden anymore! Always be a step ahead in your marketing, recruiting, and more.
0.0 (0)
Pricing
$79.00 / 1,000 results
1
Total users
87
Monthly users
2
Last modified
a year ago
You can access the 🔥 Linkedin Bulk Email Lookup 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.
1# Start Server-Sent Events (SSE) session and keep it running
2curl "https://actors-mcp-server.apify.actor/sse?token=<YOUR_API_TOKEN>&actors=bebity/linkedin-bulk-email-lookup"
3
4# Session id example output:
5# event: endpoint
6# data: /message?sessionId=9d820491-38d4-4c7d-bb6a-3b7dc542f1faUsing 🔥 Linkedin Bulk Email Lookup via Model Context Protocol (MCP) server
MCP server lets you use 🔥 Linkedin Bulk Email Lookup 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 Bulk Email Lookup Actor with the provided input.
1curl -X POST "https://actors-mcp-server.apify.actor/message?token=<YOUR_API_TOKEN>&session_id=<SESSION_ID>" -H "Content-Type: application/json" -d '{
2 "jsonrpc": "2.0",
3 "id": 1,
4 "method": "tools/call",
5 "params": {
6 "arguments": {},
7 "name": "bebity/linkedin-bulk-email-lookup"
8 }
9}'The response should be: Accepted. You should received response via SSE (JSON) as:
1event: message
2data: {
3 "result": {
4 "content": [
5 {
6 "type": "text",
7 "text": "ACTOR_RESPONSE"
8 }
9 ]
10 }
11}Configure local MCP Server via standard input/output for 🔥 Linkedin Bulk Email Lookup
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:
1{
2 "mcpServers": {
3 "actors-mcp-server": {
4 "command": "npx",
5 "args": [
6 "-y",
7 "@apify/actors-mcp-server",
8 "--actors",
9 "bebity/linkedin-bulk-email-lookup"
10 ],
11 "env": {
12 "APIFY_TOKEN": "<YOUR_API_TOKEN>"
13 }
14 }
15 }
16}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.
