Google Jobs Scraper

Google Jobs Scraper extracts job listings from Google Jobs — title, company, location, posting date, salary, employment type, description, and every apply link — and downloads them as JSON, CSV, Excel, or XML. It runs in the cloud, needs no coding, and no login or API key.

Try it right away: type the roles you're searching for and where, click Start, and watch the dataset fill up with structured job data.

What data does it extract?

Each result is one job listing:

Data	Details
💼 Job	title, employment type, posting date and "time ago", and whether it's remote
🏢 Company	nested company object: name and logo
📍 Location	where the job is based, as shown by Google
🔗 Source	the job board the listing was aggregated from (e.g. LinkedIn, Indeed)
💰 Salary	pay or salary range, when one is shown
📝 Description	the job description text shown on the card
🚪 Apply options	every place you can apply — label and outbound URL

How do I scrape Google jobs?

1. Say what you want — add one or more Search queries (a job title or skill) and a Location.
2. Narrow it down (optional) — filter by employment type, date posted, and remote-only.
3. Pick a country — the country/region to search. Set it to match your Location.
4. Set how many — choose Maximum jobs, or use 0 for no limit.
5. Click Start — then download the results from the Storage tab in any format, or send them anywhere with integrations.

Input example

{
    "queries": ["software engineer", "data scientist"],
    "location": "New York, United States",
    "country": "us",
    "language": "en",
    "maxItems": 50,
    "jobType": "fulltime",
    "datePosted": "pastWeek",
    "remote": false
}

Output example

{
    "id": "go-rRRkq2ZVLnG404rgAAAAAA==",
    "query": "software engineer",
    "title": "Embedded Software Engineer",
    "company": {
        "name": "ALTEN",
        "logo": "https://encrypted-tbn0.gstatic.com/images?q=…"
    },
    "location": "New York, NY",
    "source": "Indeed",
    "postedAt": "4 days ago",
    "postedDate": "2026-06-11",
    "employmentType": "Full-time",
    "salary": null,
    "remote": false,
    "description": "Company Description ALTEN is a global engineering and technology consultancy…",
    "applyOptions": [
        { "title": "Apply directly on Indeed", "link": "https://www.indeed.com/viewjob?jk=…" }
    ]
}

Input reference

Field	Type	Description
queries	array	Job titles or skills to search for. Each is searched on its own. Required.
location	string	City, region, or country to search in.
country	string	Country/region to search (ISO-2). Set it to match your Location. Default us.
language	string	2-letter language code for the results. Default en.
maxItems	integer	Total jobs to return across all queries. 0 = no limit. Default 50.
jobType	string	One of fulltime, parttime, internship, contract.
datePosted	string	any, past24h, past3Days, pastWeek, or pastMonth. Default any.
remote	boolean	Return only remote / work-from-home jobs. Default false.

Why scrape Google jobs?

• Job-market research — track demand for roles, skills, and titles across regions.
• Aggregation — Google Jobs pools postings from many boards, so one search spans LinkedIn, Indeed, and more.
• Recruiting & sourcing — monitor who's hiring and where.
• Salary benchmarking — gather pay ranges where they're disclosed.

Pricing

This Actor uses pay-per-event pricing: a small fee when a run starts, plus a fee per job delivered. You only pay for the listings you actually receive — set Maximum jobs to control your spend.

Notes

• Runs through Apify Proxy automatically for reliable scraping — no proxy setup needed on your end.
• Uses public Google job results — the same data anyone can see. It does not log in or access private data.
• Job coverage depends on what Google shows for each search and region; some regions (e.g. the EU) don't surface job results.
• Make sure your use of the data complies with Google's terms and applicable laws.