Google Jobs Scraper

Search Google Jobs by keyword and location and get every listing as clean, structured data — job title, employer, salary, contract type, posting date, and apply links. No login, no proxies, no browser automation.

What you get

For every job posting, the scraper returns:

• Job title and employer name — plus the employer's website and logo URL where Google shows them
• Location — as displayed in Google Jobs, with a workFromHome flag when the listing is remote/"Anywhere"
• Salary — the raw compensation string when the posting includes one (null when it doesn't)
• Contract type — Full-time, Part-time, Contractor, Internship
• Posting date — both an exact UTC timestamp (postedAt) and the relative label (timeAgo, e.g. "3 days ago")
• Apply links — the source job board (sourceName) and a direct URL to the original posting, plus an applyLinks array ready for automation
• Stable jobId and a googleJobsUrl deep link back to the listing on Google
• Results are deduplicated by job ID within the run — one clean row per posting
• Export to JSON, CSV, Excel, or Google Sheets directly from the Apify console

Use cases

• Recruiting pipelines — feed fresh openings for target roles and cities straight into your ATS or outreach tooling
• Job-board building — aggregate listings across sources into one deduplicated feed for your niche job site
• Labor-market research — track posting volume, contract mix, and remote share for any role or region over time
• Competitor hiring signals — monitor which roles competitors are opening, where, and how fast they repost
• Salary benchmarking — collect advertised salary strings at scale to benchmark compensation by title and location

How to use

1. Enter one or more Search queries (e.g. software engineer, registered nurse) — one search per line
2. Set the Location (a country, state, or city — e.g. United States or London,England,United Kingdom) and Language
3. Choose Results per query (default 20, up to 100) and an optional Max Items cap across all queries
4. Run the actor — results appear in the Dataset tab, one job per row
5. Export, or schedule the actor to run daily and diff new postings

Output format

Each dataset record:

{
  "query": "software engineer",
  "title": "Senior Software Engineer",
  "employerName": "Acme Corp",
  "location": "Austin, TX",
  "salary": "120K–160K a year",
  "contractType": "Full-time",
  "workFromHome": null,
  "postedAt": "2026-07-14 21:44:32 +00:00",
  "timeAgo": "11 hours ago",
  "sourceName": "LinkedIn",
  "sourceUrl": "https://www.linkedin.com/jobs/view/...",
  "applyLinks": [
    { "source": "LinkedIn", "url": "https://www.linkedin.com/jobs/view/..." }
  ],
  "jobId": "DfhOEnE2FFkAAAAAAAAAAA==",
  "googleJobsUrl": "https://www.google.com/search?q=software%20engineer&ibp=htl;jobs#htivrt=jobs&htidocid=..."
}