Google Jobs (via Apify) MCP server

Google Jobs Scraper & API: jobs, salaries and apply links

Google Jobs Scraper is an Apify Actor that extracts job listings from Google Jobs (Google for Jobs) for any search and location — with the full description, parsed salary, highlights and direct apply links — at $2 per 1,000 jobs. It works as a Google Jobs API: call it from code, schedule it for daily job alerts, or let AI agents use it through Apify's MCP server.

Price: $2 per 1,000 jobs ($1.50 on paid plans) + $0.03 per search · Run it: https://apify.com/automationnation/google-jobs-scraper · Guide: https://retracn.github.io/automationnation-actors/google-jobs-scraper/

Quick facts

• One row per job: title, company, company website, location, remote flag, salary (min / max / currency / period + yearly), posted date, job type, full description, highlights and every apply link (employer's own site first).
• Price: $2 per 1,000 jobs ($1.50 on paid plans) + $0.03 per search; Apify's free $5 monthly credit covers about 2,000 jobs.
• Filters for date posted, employment type and remote only — re-checked on every job; non-matching jobs are free.
• "Only new jobs" mode returns just new postings on scheduled runs (daily job alerts).
• 26 countries: United States, United Kingdom, Canada, India, Germany, Switzerland, Spain, Italy, Mexico, Brazil, Argentina, Colombia, Peru, Japan, Hong Kong, Singapore, UAE, Saudi Arabia, Qatar, Egypt, South Africa, Nigeria, Ghana, Philippines, Malaysia and Pakistan — dates, salaries and job types parsed in local languages.
• About a minute for a 100-job search; blocked searches are retried with fresh residential IPs and never charged.

Example input

{
  "queries": [
    "software engineer"
  ],
  "location": "New York",
  "country": "us",
  "maxJobsPerQuery": 50
}

Run it from code

REST API

curl -X POST "https://api.apify.com/v2/acts/automationnation~google-jobs-scraper/run-sync-get-dataset-items?token=$APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"queries": ["software engineer"], "location": "New York", "country": "us", "maxJobsPerQuery": 50}'

Python — see examples/python_example.py

# pip install apify-client
from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("automationnation/google-jobs-scraper").call(run_input={
  "queries": [
    "software engineer"
  ],
  "location": "New York",
  "country": "us",
  "maxJobsPerQuery": 50
})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item.get("title"), item.get("companyName"), item.get("salaryText"), item.get("applyUrl"))

JavaScript — see examples/node_example.mjs

// npm install apify-client
import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });
const run = await client.actor('automationnation/google-jobs-scraper').call({
  "queries": [
    "software engineer"
  ],
  "location": "New York",
  "country": "us",
  "maxJobsPerQuery": 50
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
for (const item of items) console.log(item.title, item.companyName, item.salaryText, item.applyUrl);

Use it with AI agents (MCP)

Hosted MCP server URL (Claude, ChatGPT, Cursor and other clients with remote MCP support):

https://mcp.apify.com?tools=automationnation/google-jobs-scraper

Local config for Claude Desktop / Cursor — mcp/claudedesktopconfig.json:

Shortened. The full README is on GitHub.