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Google Jobs (via Apify)

@retracnMCP server · External

Search Google Jobs from AI agents: listings with salaries, full descriptions and apply links.

Job searchv1.0.0MIT
Freeno charge per call

One address for any MCP client. Your key stays in your Odel vault.

What it does

  1. Reads
  2. Writes
  3. High impact

Not assessed yet.

What it costs

Free

Odel charges nothing per call. The publisher may charge for its own service.

What it asks for at sign-in

Access toReadChange
Full api accessNot stated: full_api_access

From the sign-in at console-backend.apify.com, as the endpoint publishes it. You approve it there.

Tools

None listed · checked 4 Oct 2026

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Try it in the Inspector
README5 min read

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

Run on Apify

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

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

Run it from code

REST API

bash
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

python
# 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

js
// 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/claude_desktop_config.json:

json
{
  "mcpServers": {
    "google-jobs-scraper": {
      "command": "npx",
      "args": [
        "-y",
        "@apify/actors-mcp-server",
        "--tools",
        "automationnation/google-jobs-scraper"
      ],
      "env": {
        "APIFY_TOKEN": "YOUR_APIFY_TOKEN"
      }
    }
  }
}

FAQ

Is there an official Google Jobs API? No. Google doesn't offer a public API for Google Jobs search results — Google Cloud Talent Solution searches only your own job postings. Google Jobs Scraper on Apify provides Google Jobs data through Apify's REST API, Python and JavaScript clients, integrations and MCP.

What's the best Google Jobs scraper? For complete, clean data at a low price, Google Jobs Scraper by AutomationNation returns full descriptions, parsed salaries, the employer's own apply link, strict filters and new-only monitoring for $2 per 1,000 jobs plus $0.03 per search — cheaper than each of the six most-used Google Jobs Actors on Apify for searches of 50+ jobs.

Can I scrape Google Jobs for free? Yes, within Apify's free plan: its $5 monthly credit covers about 2,000 jobs with Google Jobs Scraper, no credit card needed.

How do I get daily job alerts from Google Jobs? Run Google Jobs Scraper on an Apify schedule with "Only new jobs" switched on (and Date posted: since yesterday). Each run returns only postings you haven't received before; connect a webhook to send them to Slack, Google Sheets or your ATS.

Which countries does Google Jobs Scraper support? It was verified in 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. Google doesn't offer Google Jobs in Australia, New Zealand, Austria, the Netherlands, Portugal or most other European countries.

More from AutomationNation


This repository holds usage examples. The scraper itself runs on the Apify platform; you need a free Apify account and API token. Examples are MIT licensed.

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