Google Jobs Scraper - Listings, Salaries & Apply Links

What does Google Jobs Scraper do?

Google Jobs Scraper collects job listings from Google Jobs, the job search built into Google that gathers postings from LinkedIn, Indeed, company career sites and other job boards. Give it a search like nurse Chicago and get back structured rows with the job title, company, location, salary (when Google shows one), job type, posting date and direct apply links.

• Many jobs per search, not just Google's first 10. It follows the date-posted and job-type filter pages that Google itself offers and removes duplicates. In our tests, common queries returned 50 to 64 unique jobs.
• Tested in 16 countries, not only in English. Fields are read by page structure, not by wording. Our test runs returned jobs in the United States, United Kingdom, Canada, Germany, France, Spain, Italy, Netherlands, India, Brazil, Mexico, Vietnam, Japan, Singapore, the Philippines and South Africa, with the interface languages en, de, fr, es, pt, it, nl, vi and ja. Other countries and languages have not been tested yet.
• You pay only for jobs returned. A search where Google has no jobs returns one free notice row.

Run it from Apify Console, call it through the API, schedule it, or connect it to Make, Zapier, Google Sheets and other tools through Apify's integrations.

This Actor is an independent tool. It is not affiliated with, endorsed by or sponsored by Google, and the data is not official Google data: it is what Google Jobs shows publicly on its result pages.

Who is it for?

• Job market research: who is hiring for a role in a city, at what pay, and on which job boards.
• Recruiters and HR tech: find companies hiring right now, each with a link to the posting.
• Salary benchmarking: collect the salary ranges Google shows for a role and place.
• Job boards and aggregators: feed postings, with their original apply links, into your own product.

How to scrape Google Jobs

1. Open the Input tab.
2. Enter one or more search queries, the way you would type them into Google Jobs, with the place inside the query: nurse Chicago, software engineer remote.
3. Set the country (two-letter code, e.g. US, GB, DE) and the language (e.g. en, de).
4. Optionally change Maximum jobs per query (default 50).
5. Click Start. When the run finishes, open the Output tab or download the data as JSON, CSV, Excel or HTML.

Input

Field	What it does	Default
queries	Search queries, one per line. Put the place in the query: accountant Toronto. Required.	–
country	Two-letter code of the Google Jobs market to search.	US
language	Interface language. Job ads stay in the language they were written in.	en
maxResults	Stop a query after this many unique jobs (1–500).	50

Under Advanced: maxRetries, emptyRetries, saveFailedPages and proxyConfiguration. The defaults are the recommended settings.

Example input:

{
  "queries": ["nurse Chicago", "data analyst London"],
  "country": "US",
  "language": "en",
  "maxResults": 50
}

One run uses one country and one language. To cover several markets, start one run per country.

Output

Each job is one row in the dataset. Download it as JSON, CSV, Excel or HTML, or read it through the API.

Example row (a real result from a test run on the Apify platform on 2026-09-29; the description and the list of apply links are shortened here):

{
  "searchQuery": "nurse Chicago",
  "country": "US",
  "language": "en",
  "position": 1,
  "title": "Registered Nurse 1, Gen Surg (13W), Day Shift",
  "company": "Hospital: Rush University Medical Center",
  "location": "Chicago, IL",
  "source": "Indeed",
  "viaText": "via Indeed",
  "salary": null,
  "employmentType": "Full-time",
  "tags": [
    "37.50–57.19 an hour",
    "Health insurance"
  ],
  "postedText": "23 hours ago",
  "postedAt": "2026-09-28",
  "applyUrl": "https://www.indeed.com/viewjob?jk=3bd158e423226d7a&utm_campaign=google_jobs_apply&utm_source=google_jobs_apply&utm_medium=organic",
  "applyLinks": [
    {
      "name": "Apply on Indeed",
      "url": "https://www.indeed.com/viewjob?jk=3bd158e423226d7a&utm_campaign=google_jobs_apply&utm_source=google_jobs_apply&utm_medium=organic",
      "direct": true
    },
    {
      "name": "Apply on ZipRecruiter",
      "url": "https://www.ziprecruiter.com/c/Rush-University-Medical-Center/Job/Registered-Nurse-1-%7C-Gen-Surg-%7C-Day-Shift/-in-Chicago,IL?jid=07bf66bcdad61081&utm_campaign=google_jobs_apply&utm_source=google_jobs_apply&utm_medium=organic",
      "direct": true
    }
  ],
  "descriptionPreview": "Job highlightsIdentified by Google from the original job postQualificationsCurrent State of Illinois Registered Nurse licensure requiredMain…",
  "googleJobId": "lK7uIH1gvpcdgvAsAAAAAA==",
  "scrapedAt": "2026-09-29T20:04:50.061Z"
}

Data fields

Field	Description
title	Job title
company	Hiring company
location	Location as shown by Google
source / viaText	The job board or site the posting comes from, e.g. LinkedIn, Indeed, and Google's "via ..." text
salary	Salary text, only when Google shows one (null otherwise)
employmentType	e.g. Full-time, Part-time, Contractor
postedText / postedAt	Posting age as Google shows it (23 hours ago) and the approximate date worked out from it
applyUrl	Link to apply on the first job board Google lists
applyLinks	Every apply option Google lists, each with its URL
descriptionPreview	The first part of the job description shown by Google
tags	Other labels Google shows, e.g. a pay rate or "Health insurance"
googleJobId	Google's id for the posting, used to remove duplicates
searchQuery, country, language, position	The search the row came from and the job's position in that search
notice, message	Only on notice rows (see the FAQ). A notice row is not a job.

How reliable is it?

Figures from our own test runs on the Apify platform on 2026-09-29 and 2026-09-30. They describe those runs, not a guarantee.

• 50 runs with 50 different queries (30 common, 20 rare) in 15 countries and 9 languages: 50 of 50 runs finished without error. 35 returned jobs. The other 15 returned a notice instead of jobs: 12 were rare queries for which Google Jobs itself had no postings, and 3 were in Australia and Poland, where Google Jobs was not available (see Limitations).
• Depth: with the limit set to 500, 10 common queries in 9 countries returned 50 to 64 unique jobs each. All 90 result pages loaded.
• Country check: one query each in the United States, United Kingdom, Canada, Germany, France, Spain, Italy, Netherlands, India, Brazil, Mexico, Japan, Singapore, the Philippines and South Africa. Google Jobs returned jobs in all 15. Four of them (France, India, the Philippines, South Africa) timed out on the first try: India, the Philippines and South Africa worked on a second run, and France worked after we made the Actor wait longer for the page.
• Completeness over the 309 jobs from the 50 runs: title, company, source and apply link on all 309, location on 307. Google showed a posting date for 259 and a salary for 89; the rest are left empty because Google did not show them.

How much does it cost to scrape Google Jobs?

This Actor uses pay-per-event pricing: you pay for each job returned, plus a fee for each run.

	Price
Per job returned	$0.002 ($2 per 1,000 jobs)
Per run (start fee)	$0.00005 with the default 512 MB of memory

• A search where Google has no jobs, or a country without Google Jobs, costs no job fees: it returns one notice row, and notice rows are never charged.
• The start fee is charged once per GB of run memory (minimum once): $0.00005 per GB. With the default 512 MB it is $0.00005 per run.
• You can set a maximum cost per run in the run options. We checked this with automated tests and with real runs on Apify. When the limit is reached the Actor stops and keeps the jobs already paid for. It can go over by at most 1 job, because of how the Apify library counts charges.

Tips

• Put the location in the query (nurse Chicago) rather than relying on the country alone.
• Want more than about 60 jobs for a role? Split it into several queries: by city (nurse Chicago, nurse Evanston) or by title (registered nurse, ICU nurse).
• The default limit is 50 jobs per query. Raise maxResults if you want everything Google exposes for the search (in our tests up to 64).
• Rare job titles often have no postings on Google Jobs at all; the run then returns a NO_MATCHES notice.

Limitations

• Google Jobs is not available everywhere. In our tests Google showed ordinary web results instead of Google Jobs for every query we tried in Australia and Poland, including 19 variations of proxy location, wording and URL form. It also happens now and then for rare queries elsewhere. Such searches return a NO_JOBS_VERTICAL notice.
• Fields Google does not show are left empty. Most often this is the salary and, for some postings, the posting date. Nothing is guessed or filled in.
• The posting date is approximate: Google shows relative ages ("3 days ago").
• Around 50 to 64 jobs per query is what Google's own filters exposed in our tests. It is not the full number of postings for a role.
• One run searches one country and one language.

FAQ

Is it legal to scrape Google Jobs? This Actor reads only publicly available job postings: what anyone sees on Google Jobs without logging in. It does not look for personal data, but the descriptionPreview text is copied from the posting and contains whatever the employer wrote there. You are responsible for using the data in line with the laws that apply to you and with the terms of the sites involved.

Is this an official Google API? No. The Actor is independent and not affiliated with Google. It reads the public Google Jobs result pages.

What does a notice row mean? A row with a notice field is not a job. NO_MATCHES means Google Jobs has no postings for that query (the Actor asked again before concluding this). NO_JOBS_VERTICAL means Google showed ordinary web results instead of Google Jobs: always in Australia and Poland in our tests, sometimes for rare queries elsewhere. Notice rows are never charged.

Why did I get fewer jobs than my limit? Google exposes a limited set of postings per search. The Actor returns every unique job it can reach, up to your limit.

Something not working? Open an issue in the Issues tab with the run link, and we will look into it. For a custom data solution, reach out through the same tab.