AI Linkedin Jobs Scraper
Pricing
Pay per event
AI Linkedin Jobs Scraper
Extract structured data from LinkedIn job listings with AI-powered analysis. Filter by job type, experience level, location, and posting date. Get detailed information including responsibilities, skills required, and application methods. Supports proxy and provides clean JSON output.
5.0 (1)
Pricing
Pay per event
0
Total users
2
Monthly users
2
Last modified
8 hours ago
You can access the AI Linkedin Jobs 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.
1# Start Server-Sent Events (SSE) session and keep it running
2curl "https://actors-mcp-server.apify.actor/sse?token=<YOUR_API_TOKEN>&actors=x5ud0kn1gh7x/ai-linkedin-jobs-scraper"
3
4# Session id example output:
5# event: endpoint
6# data: /message?sessionId=9d820491-38d4-4c7d-bb6a-3b7dc542f1faUsing AI Linkedin Jobs Scraper via Model Context Protocol (MCP) server
MCP server lets you use AI Linkedin Jobs 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 AI Linkedin Jobs Scraper 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 "keywords": "software engineer",
8 "geoId": "102713980",
9 "timePostedRange": "LAST_10_DAYS",
10 "experienceLevels": [],
11 "jobTypes": [],
12 "workplaceTypes": [],
13 "sortBy": "R",
14 "maxResults": 50,
15 "proxySettings": {
16 "useApifyProxy": true
17 }
18},
19 "name": "x5ud0kn1gh7x/ai-linkedin-jobs-scraper"
20 }
21}'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 AI Linkedin Jobs 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:
1{
2 "mcpServers": {
3 "actors-mcp-server": {
4 "command": "npx",
5 "args": [
6 "-y",
7 "@apify/actors-mcp-server",
8 "--actors",
9 "x5ud0kn1gh7x/ai-linkedin-jobs-scraper"
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.
