🔥 Linkedin Companies & Profiles Bulk Scraper
Pricing
$29.00/month + usage
🔥 Linkedin Companies & Profiles Bulk Scraper
Companies & Profiles Linkedin scraper. Get comprehensive profiles of individuals and companies based on your keywords and filters. Unleash the power of data! 🌐🔍
2.1 (7)
Pricing
$29.00/month + usage
180
Total users
7.4K
Monthly users
714
Runs succeeded
>99%
Issues response
9.9 days
Last modified
2 months ago
You can access the 🔥 Linkedin Companies & Profiles Bulk 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, you’ll 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=bebity/linkedin-premium-actor"
# Session id example output:# event: endpoint# data: /message?sessionId=9d820491-38d4-4c7d-bb6a-3b7dc542f1faUsing 🔥 Linkedin Companies & Profiles Bulk Scraper via Model Context Protocol (MCP) server
MCP server lets you use 🔥 Linkedin Companies & Profiles Bulk 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 Companies & Profiles Bulk 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": {},$ "name": "bebity/linkedin-premium-actor"$ }$}'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 Companies & Profiles Bulk 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", "bebity/linkedin-premium-actor" ], "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.
