Job Search Agent Langraph
Under maintenance
Pricing
Pay per event
Job Search Agent Langraph
Under maintenance
An autonomous AI agent that helps you find the perfect job match by analyzing your resume and searching across LinkedIn and Indeed. Built with Apify and powered by advanced AI capabilities.
0.0 (0)
Pricing
Pay per event
0
Monthly users
1
Runs succeeded
33%
Last modified
a month ago
You can access the Job Search Agent Langraph 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=gopalakrishnan/job-search-agent-langraph"
3
4# Session id example output:
5# event: endpoint
6# data: /message?sessionId=9d820491-38d4-4c7d-bb6a-3b7dc542f1fa
Using Job Search Agent Langraph via Model Context Protocol (MCP) server
MCP server lets you use Job Search Agent Langraph 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 Job Search Agent Langraph 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": "gopalakrishnan/job-search-agent-langraph"
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 Job Search Agent Langraph
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 "gopalakrishnan/job-search-agent-langraph"
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.
Pricing
Pricing model
Pay per eventThis Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Resume Parsing
$0.100
Charge for parsing and analyzing the resume using AI to extract key information including desired role, skills, experience, and preferences
Job Scoring
$0.020
Charge per job analyzed and scored based on skills match, experience match, location match, and company fit using AI
Results Summary
$0.100
Charge for generating final results summary including job rankings, match scores, statistics, and top skills analysis