Google Jobs Scraper

Scrape job postings from Google Jobs, the job search built into Google that collects listings from LinkedIn, Indeed, Glassdoor, ZipRecruiter, company career sites and hundreds of other job boards. Type a search like "software engineer new york" or "registered nurse chicago" and get clean, structured job data: title, company, location, salary, job type, highlights, the full description, and direct apply links.

• ✅ Direct apply links. Google's redirect links are converted into the real job page URLs (LinkedIn, Indeed, company career sites…).
• ✅ Salary parsed into numbers: minimum, maximum, currency and period, next to Google's original text.
• ✅ More than 10 jobs per search. Google only shows about 10 jobs per search. This scraper widens each query with recent-date windows and common refinements, then removes duplicates. One test run collected 99 unique jobs for "warehouse worker dallas".
• ✅ Built for reliability. Searches are retried automatically, and the run never fails because of one bad page.
• ✅ Privacy-friendly. Recruiter e-mail addresses and phone numbers in descriptions are removed by default.

What data do you get?

Field	Example
title	Entry Level Software Developer
companyName	SkillStorm
location	New York, NY
via	LinkedIn (where Google found the posting)
postedAt / postedDate	"2 days ago" / 2026-10-08
scheduleType	Full-time
salary, salaryMin, salaryMax, salaryCurrency, salaryPeriod	"65K–70K a year", 65000, 70000, USD, year (when Google shows no currency symbol, the currency is taken from the country)
tags	Health insurance, Dental insurance, No degree mentioned
highlights	Qualifications, benefits and responsibilities as bullet lists
description, descriptionIsPreview	The full job description. In some countries Google only shows a short preview; then descriptionIsPreview is true.
applyOptions	Every place to apply, each with a direct URL
googleJobUrl	Link to the job on Google
jobId, query, searchVariant, scrapedAt	For de-duplication and tracking

How to use it

1. Add one or more search queries, including the location, the way you would type them into Google.
2. Set max jobs per query (default 50).
3. Optionally filter by date posted (past 24 hours, week or month) and set the country (default us).
4. Click Start and download your data as JSON, CSV, Excel or HTML, or use the API.

Example input

{
  "queries": ["software engineer new york", "registered nurse chicago"],
  "maxJobsPerQuery": 50,
  "datePosted": "week",
  "country": "us"
}

Example output

{
  "query": "software engineer new york",
  "searchVariant": "exact query",
  "jobId": "wR4_opIO4fL0CrG7AAAAAA==",
  "title": "Entry Level Software Developer",
  "companyName": "SkillStorm",
  "location": "New York, NY",
  "via": "LinkedIn",
  "postedAt": "2 days ago",
  "postedDate": "2026-10-08",
  "scheduleType": "Full-time",
  "salary": "65K–70K a year",
  "salaryMin": 65000,
  "salaryMax": 70000,
  "salaryCurrency": "USD",
  "salaryPeriod": "year",
  "tags": ["Health insurance", "Dental insurance"],
  "highlights": {
    "qualifications": ["A bachelor's degree in a related technical field (Computer Science, Software Engineering, IT, or similar)", "At least 1 year of technical work experience"],
    "benefits": ["Competitive salary, paid from day one, with no training costs to you"],
    "responsibilities": ["Develop and improve applications using your client's languages, frameworks, and tools"]
  },
  "description": "Launch your software career with a company built to do exactly that. ...",
  "descriptionIsPreview": false,
  "applyOptions": [
    { "source": "LinkedIn", "url": "https://www.linkedin.com/jobs/view/..." },
    { "source": "Indeed", "url": "https://www.indeed.com/viewjob?..." }
  ],
  "googleJobUrl": "https://www.google.com/search?ibp=htl;jobs&q=software+engineer+new+york&htidocid=...",
  "scrapedAt": "2026-10-10T15:08:41.000Z"
}

Input options

Option	What it does
Search queries	What you would type into Google, including the location.
Max jobs per query	Stops after this many unique jobs per query (1–500).
Date posted	Any time, past 24 hours, past week or past month.
Widen the search	On by default. Also searches date windows and refinements (remote, full time, part time, contract, senior, entry level, hybrid, internship) to get past Google's ~10 jobs per search. Turn it off to get only your exact query.
Country	Two-letter Google country code (us, gb, de, in…).
Resolve direct apply links	On by default. Turns Google redirect links into direct job page links.
Include full job description	On by default.
Remove e-mail addresses and phone numbers	On by default.

Pricing

You pay per job saved, plus a tiny fee per run start. There is no monthly rental, and failed searches cost you nothing. The exact price for your Apify plan is shown on the Pricing tab. For example, 100 jobs cost well under one dollar.

To cap spending, set a maximum cost per run in the run options. The scraper stops cleanly when it reaches your limit.

Use cases

• Job market research: which companies are hiring for which roles, where, and at what salary.
• Job boards and aggregators: fresh listings with direct apply links.
• Recruiting and staffing: track new openings at target companies or in target cities.
• Salary benchmarking: structured salary ranges across roles and locations.
• AI agents: call this actor through the Apify API or MCP server to give an agent live job data.

Use it as an API, from Python or from AI tools

Every run is also an API call. From Python, with the official Apify client:

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("ralfij/google-jobs-scraper").call(
    run_input={"queries": ["data analyst chicago"], "maxJobsPerQuery": 50}
)
for job in client.dataset(run.default_dataset_id).iterate_items():
    print(job["title"], "|", job["companyName"], "|", job["salary"])

More Python examples, including a salary report by city and a daily alert for new jobs, are on GitHub: RalfIJ/google-jobs-api.

To let an AI assistant such as Claude, Cursor or VS Code search Google Jobs for you, add this MCP server URL in its settings: https://mcp.apify.com?tools=ralfij/google-jobs-scraper

FAQ

Is there an official Google Jobs API? No. Google doesn't offer a public API for Google Jobs results. This actor gives you the same listings as structured data (JSON, CSV or Excel) through the Apify API.

Is it free to try? Yes. Apify's free plan includes $5 of credit every month, with no credit card needed. That covers more than 1,000 jobs at the standard price.

Which countries work? Google Jobs works in many countries, including the United States, the United Kingdom, Germany, India, Canada and Australia. It is not available in every country; the Netherlands, for example, returns no Google Jobs results. For local jobs, write the query in the local language (e.g. pflegefachkraft berlin with country de).

Why did I get fewer jobs than I asked for? Google only has so many listings for each search. The scraper stops when new searches stop finding new jobs, so you never pay for duplicates. Broader queries ("nurse texas") return more than narrow ones.

How fresh is the data? Every run searches Google live. Use Date posted: past 24 hours with an Apify schedule to collect new jobs every day.

Is scraping Google Jobs legal? This actor only collects publicly available job postings and does not log in anywhere. By default it removes recruiter e-mail addresses and phone numbers from descriptions. You are responsible for how you use the data, especially under privacy laws such as the GDPR.

Can I use it with an API, Make, Zapier or n8n? Yes. Like every Apify actor, you can run it through the Apify API, schedule it, and connect it to Make, Zapier, n8n, Google Sheets and other tools through Apify integrations.

Something broke. What should I do? Open an issue on the Issues tab with your input, and it will be looked at quickly.

Did it save you time? A short review on the Reviews tab helps other people find it.

This actor is not affiliated with, endorsed by or sponsored by Google. Google Jobs is a trademark of Google LLC.