Google Jobs Scraper & Fresh Lead Monitor

Scrape public Google Jobs results into structured job leads for recruiting, staffing, job aggregation, market research, and hiring-signal workflows. The Google Jobs scraper extracts employer, location, source, posting age, salary, employment type, Google job URL, and public application links when available.

Google Jobs scraper features

• Combine several job queries and locations in one bounded run.
• Receive one normalized dataset row per unique Google Jobs card.
• Monitor newly discovered openings with onlyNew and a named state store.
• Keep source attribution and public apply links when Google exposes them.
• Export job leads as JSON, CSV, Excel, XML, or JSONL.

Only real job rows written to the default dataset are billed. Failed searches, duplicate cards, already-seen jobs suppressed by onlyNew, and the run summary are not charged as results.

Input example

{
  "queries": ["software engineer"],
  "locations": ["Austin, TX"],
  "maxJobsPerSearch": 10,
  "pagesPerSearch": 1,
  "onlyNew": false
}

Google Jobs data output

Each row can include jobId, title, company, location, source, postedText, salaryText, employmentType, jobUrl, applyLinks, query, searchLocation, capturedAt, and isNew.

The run output provides the lead table, a ready-to-download CSV, and RUN_SUMMARY with search, result, suppression, and failure counts.

Google Jobs Scraper API

curl -X POST "https://api.apify.com/v2/acts/technicaldost~google-jobs-fresh-leads-monitor/runs" \
  -H "Authorization: Bearer $APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"queries":["software engineer"],"locations":["Austin, TX"],"maxJobsPerSearch":10,"pagesPerSearch":1}'

Pricing and responsible use

The Store price is $0.004 per delivered job lead. The Actor uses Apify's Google SERP proxy with limited permissions and does not log proxy credentials or response bodies. Use job data responsibly and comply with applicable terms, laws, and hiring regulations.

How to use Google Jobs Scraper & Fresh Lead Monitor

1. Open Google Jobs Scraper & Fresh Lead Monitor on Apify Store and click Try for free.
2. Fill in the input (the form is prefilled with a working example) and click Start.
3. Watch results appear in the Output tab, then download them as JSON, CSV, Excel or HTML, or read them through the API.
4. Optional: save the input as a task and add a schedule to run it automatically, or connect it to your tools with integrations and webhooks.

Use Google Jobs Scraper & Fresh Lead Monitor with AI agents (MCP)

Give Claude, ChatGPT, Cursor, VS Code or any MCP client this Actor as a tool through the hosted Apify MCP server. The agent sees the input fields with descriptions and example values, runs the Actor, and reads the results.

MCP server URL (this Actor only):

https://mcp.apify.com/?tools=technicaldost/google-jobs-fresh-leads-monitor

Claude Code:

$claude mcp add --transport http apify "https://mcp.apify.com/?tools=technicaldost/google-jobs-fresh-leads-monitor" --header "Authorization: Bearer YOUR_APIFY_TOKEN"

Cursor, VS Code, Claude Desktop and other clients (mcp.json or the client's MCP settings):

{
  "mcpServers": {
    "apify": {
      "url": "https://mcp.apify.com/?tools=technicaldost/google-jobs-fresh-leads-monitor",
      "headers": { "Authorization": "Bearer YOUR_APIFY_TOKEN" }
    }
  }
}

Clients that support sign-in (such as Claude.ai connectors) can use the URL without a token and log in to Apify instead. Get your token in Apify Console → Settings → API & Integrations, or generate a ready config for your client at mcp.apify.com. In the agent the tool is named technicaldost--google-jobs-fresh-leads-monitor; ask it, for example, to "run Google Jobs Scraper & Fresh Lead Monitor with {"queries": ["software engineer"], "locations": ["Austin, TX"]}".

AI agents without an Apify account can also run and pay for this Actor per request with x402 agentic payments.

Run Google Jobs Scraper & Fresh Lead Monitor via API

Run the Actor and get its results in one call (replace YOUR_APIFY_TOKEN):

curl -X POST "https://api.apify.com/v2/acts/technicaldost~google-jobs-fresh-leads-monitor/run-sync-get-dataset-items?token=YOUR_APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"queries": ["software engineer"], "locations": ["Austin, TX"]}'

Python (pip install apify-client):

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("technicaldost/google-jobs-fresh-leads-monitor").call(run_input={"queries": ["software engineer"], "locations": ["Austin, TX"]})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

JavaScript / TypeScript (npm install apify-client):

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });
const run = await client.actor('technicaldost/google-jobs-fresh-leads-monitor').call({"queries": ["software engineer"], "locations": ["Austin, TX"]});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

Long runs: start them with POST /v2/acts/technicaldost~google-jobs-fresh-leads-monitor/runs and fetch the dataset when the run finishes, or receive a webhook.

Integrations

Google Jobs Scraper & Fresh Lead Monitor works with Make, Zapier, n8n, LangChain, Google Sheets, Slack, GitHub and webhooks. Schedule runs in Apify Console and send new results straight to your apps, spreadsheets or AI pipelines.

Related Actors

• Greenhouse & Lever Jobs Scraper & Monitor — Scrape public Greenhouse and Lever job boards into one normalized dataset. Filter by title or location and emi
• Greenhouse Lever Ashby Jobs API — Scrape job postings from 5 public ATS APIs: Greenhouse, Lever, Ashby, Workable and SmartRecruiters. Returns ti
• Cutshort Jobs Scraper - Tech Jobs India — Scrape Cutshort tech job listings by skill and city: company profile, salary range, experience range, skills
• Google Maps Business Scraper — Extract business listings with reviews, hours, photos, ratings, and geo as structured JSON from public busines

FAQ

Can I use Google Jobs Scraper & Fresh Lead Monitor with AI agents like Claude or ChatGPT?

Yes. Connect the Apify MCP server with ?tools=technicaldost/google-jobs-fresh-leads-monitor (see above) and the agent can run the Actor and read its results on its own.

Can I call Google Jobs Scraper & Fresh Lead Monitor from my own code?

Yes. Use the REST API, or the official Python and JavaScript clients shown above. Results are available as JSON, CSV, Excel, XML or HTML.

How do I run it on a schedule?

Save your input as a task in Apify Console and add a schedule (for example, daily). Use webhooks or integrations to send each run's results onward.

Is it legal to use this Actor?

It works with publicly available data. Make sure your use complies with the source website's terms and with data protection laws such as GDPR, especially for personal data.

Something doesn't work or I need a feature. What should I do?

Open an issue in the Issues tab on this Actor's page with an example input, and we'll look into it.