Google Jobs Scraper: Salaries, Descriptions, Apply Links

Google Jobs Scraper turns any Google Jobs search into a clean table of job postings. Give it a search such as registered nurse, data analyst or warehouse associate and a place such as Chicago, IL. For each job you get the title, company, location, the site Google found it on (LinkedIn, Indeed, the employer's careers page...), posted age and an approximate posting date, employment type, salary as numbers with currency and period, Google's job highlights (qualifications, benefits, responsibilities), the full description, and every "Apply on" link as a direct URL. It covers 43 countries, reaches about 40 to 80+ distinct jobs per search on busy searches, and filters by date posted and employment type. There is no browser and no login to set up. It costs $2 per 1,000 jobs, with no start fee.

What you can do with it

• Job market and salary research. Pull the jobs for a role and city, then compare pay ranges (salaryMin, salaryMax, salaryPeriod), employers and job boards across cities or countries.
• Recruiting and staffing leads. See which companies are hiring for the roles you place, where they post, and how fresh each posting is (postedAt).
• Job boards and aggregators. Feed new postings with the full description and the original apply URLs into your own site or newsletter. Run it daily with datePosted: "today".
• Career tools and AI agents. Clean, consistent fields in every country, ready for a spreadsheet, a matching model or an LLM prompt.
• Labor market monitoring. Track how many postings a role gets per week, which skills show up in the qualifications, and how many list a salary.

Input

Field	Type	What it does
queries	list of text	Searches as you would type them into Google Jobs: a title or skill (nurse, python developer). You can include the place (warehouse jobs London). Each search returns its own rows.
location	text	Optional. A city, region or "remote", added to every search (Chicago, IL, Berlin, Toronto, ON). Leave it empty when your searches already name the place.
country	code	The Google country: us (default), uk, ca, au, de, fr, in and 36 more. It decides which boards and employers Google shows when a search names no place.
language	code	Google's interface language, default en. It changes labels such as "Posted 3 days ago" and helps Google read filter words. Descriptions stay in the language they were written in.
maxJobsPerQuery	number	Default 50, max 150. Stop each search after this many distinct jobs.
datePosted	choice	any (default), today, 3days, week or month. Jobs whose posted age is older than the window are dropped and not charged.
employmentType	choice	any (default), fullTime, partTime, contractor or internship.
expandSearch	yes/no	Default on: go past Google's first 10 jobs (see "How it gets more than 10 jobs"). Off: only the first 10, the cheapest and fastest option.
maxConcurrency	number	How many searches run in parallel. Default 3.
proxyConfiguration	proxy	Keep the default, Apify Proxy's Google SERP group. It is included in the price.

Example:

{
  "queries": ["registered nurse", "warehouse associate"],
  "location": "Chicago, IL",
  "country": "us",
  "maxJobsPerQuery": 60,
  "datePosted": "week"
}

An empty input {} runs a small example (5 jobs for "data analyst" in New York, NY), and the status message says so.

Output

One row per job posting. Example (description shortened):

{
  "position": 4,
  "title": "Registered Nurse - Healthcare Transformation Collaborative",
  "company": "Endeavor Health",
  "location": "Chicago, IL",
  "via": "Indeed",
  "postedAge": "5 days ago",
  "postedAt": "2026-10-16",
  "employmentType": "Full-time",
  "salary": "$37.25–$57.74 an hour",
  "salaryMin": 37.25,
  "salaryMax": 57.74,
  "salaryPeriod": "hour",
  "salaryCurrency": "USD",
  "workFromHome": null,
  "qualificationNote": "No degree mentioned",
  "benefits": ["Health insurance", "Dental insurance", "Paid time off"],
  "highlights": [
    {"title": "Qualifications", "items": ["Graduate from an accredited school of nursing", "Current Illinois Nursing licensure"]},
    {"title": "Benefits", "items": ["Tuition Reimbursement", "Retirement Options with Company Match"]},
    {"title": "Responsibilities", "items": ["Full Time, 40 hours", "Promotes safety measures to prevent patient and staff injuries"]}
  ],
  "description": "Registered Nurse - Healthcare Transformation Collaborative\n\nEndeavor Health is ...",
  "applyLinks": [
    {"source": "Indeed", "url": "https://www.indeed.com/viewjob?jk=..."},
    {"source": "LinkedIn", "url": "https://www.linkedin.com/jobs/view/..."}
  ],
  "applyUrl": "https://www.indeed.com/viewjob?jk=...",
  "otherTags": [],
  "jobId": "3rFQ6HlgQ6v4RFGcAAAAAA==",
  "googleJobUrl": "https://www.google.com/search?ibp=htl;jobs&q=registered+nurse+Chicago,+IL&htidocid=...",
  "searchQuery": "registered nurse",
  "searchLocation": "Chicago, IL",
  "country": "us",
  "language": "en",
  "searchVariant": "first page",
  "scrapedAt": "2026-10-21T19:10:03+00:00"
}

Field	What it holds
title, company, location	As Google Jobs shows them. location can be "Anywhere" for remote jobs.
via	The site Google found the posting on: LinkedIn, Indeed, Glassdoor, a staffing agency, the employer's own careers site.
postedAge, postedAt	"3 days ago" as shown, and the approximate date it means (ISO 8601).
employmentType	"Full-time", "Part-time", "Contractor", "Internship", or a mix ("Full-time and Part-time"), in the page language.
salary, salaryMin, salaryMax, salaryPeriod, salaryCurrency	The pay text as shown, and the same as numbers: min, max, hour / day / week / month / year, and the ISO currency code. Set only when Google shows a salary.
highlights	Google's extracted job highlights, as {title, items} groups (Qualifications, Benefits, Responsibilities), all items included.
description	The full job description text, line breaks kept.
applyLinks, applyUrl	Every "Apply on" option as {source, url}, where url is the posting itself (not a Google redirect), with Google's tracking parameters removed. applyUrl is the first.
benefits, qualificationNote, workFromHome, otherTags	The chips on the job card: "Health insurance", "No degree mentioned", work from home.
jobId, googleJobUrl	Google's id for the posting (use it to match a job across runs) and a link that opens it in Google Jobs.
searchQuery, searchLocation, country, language, searchVariant, scrapedAt	Where the row came from: your search, and which narrower search found it (see below).

Fill rates on 251 jobs from Apify runs in the US, UK and Germany (2026-10-22): title, company, location, source, description, apply links and job id 100%, employment type 96%, posted age 79%, Google highlights 49%, salary 47%, benefit chips 33%. 77% of descriptions are over 1,000 characters. A field is null (or an empty list) when Google does not show it for that job.

How it gets more than 10 jobs

Google Jobs shows 10 jobs, then loads more only by scrolling inside a browser. This Actor does not run a browser. After the first 10, it runs narrower searches of the same query, each of which returns its own top 10: recent postings ("posted in the last 3 days", "posted this week"), Google's own filter chips for that search (such as "Remote" or "No degree"), employment types (part time, full time, internship, contractor), seniority (entry level, senior), and Google's date and distance tools. It merges them by jobId, so a job is saved and charged only once. Each row's searchVariant says which search found it ("first page", "part time", "Google filter: Remote"...), so you can keep or drop any of them. Rows found through the "Remote" chip can be remote jobs outside your city.

On Apify (2026-10-22): registered nurse and warehouse associate in Chicago reached 60 of 60 jobs each, data analyst and electrician in London 50 of 50 each. A narrow or filtered search stops sooner: Lagerarbeiter in Berlin, posted this week and full time, returned 21. The Actor stops a search when four narrower searches in a row add almost nothing new, and says so in the log.

How much does it cost to scrape Google Jobs?

You pay per job saved to the dataset. This price is final:

Event	Price	Per 1,000
job: one job posting row	$0.002	$2

There is no start fee. Nothing is charged for failed pages, retries, duplicates, or jobs dropped by the date filter. Platform usage and the Google SERP proxy are included in the price. The run stops by itself when it reaches your maximum total charge.

Examples:

• One role in one city (registered nurse, Chicago, 60 jobs): $0.12.
• Salary research: 20 roles × 50 jobs = 1,000 jobs = $2.00.
• Daily new-jobs feed: 30 searches × 20 jobs posted since yesterday, for a month = 18,000 jobs = $36.

Limits

• Google's first page holds 10 jobs, and the rest come from narrower searches, so the total per search depends on how much Google has: about 40 to 80+ for busy roles in big cities, fewer for niche roles or tight filters. The maximum is 150 per search. To cover more, split by city or add related titles.
• Speed. Each Google page takes 2 to 70 seconds. On Apify, 2 searches of 60 jobs (22 pages) took about 3 minutes, and 2 searches of 50 jobs took about 2 minutes. Searches run in parallel (maxConcurrency).
• Salary appears only when the posting or Google shows one (about half of US postings). Descriptions on some boards are a preview of a few hundred characters, because that is all Google has.
• Posted dates are approximate: "3 days ago" becomes the date three days before the run.
• Order. position follows the order the jobs were found: the first page in Google's order, then each narrower search.
• Google can change its pages at any time. The Actor retries failed pages on a fresh connection, and the status message names any search that got no answer or had no matches. A run where nothing at all came back ends as FAILED with the reason, never as an empty success.

Use with Python

# pip install apify-client
from apify_client import ApifyClient

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

FAQ

Does it need a Google account, cookies or my own proxy? No. It reads Google's public Jobs results through Apify Proxy's Google SERP group, which is included in the price.

Can I get only new jobs every day? Yes. Set datePosted to today and schedule the Actor daily. Use jobId to skip jobs you already have.

Why do some rows have a different city? Google Jobs sometimes includes nearby towns, and the "Remote" filter chip finds remote jobs. Check location and searchVariant, or set expandSearch to off for the first 10 jobs only.

Which countries work? 43, including the US, UK, Canada, Australia, India, Germany, France, Spain, Italy, the Netherlands, Japan, Singapore, Brazil and Mexico. Pick the country and, for local labels, the language.

Are the apply links real? Yes. Each applyLinks URL is the posting on the job board or careers site, without Google's redirect and without Google's utm_ tracking parameters.

Responsible use

This Actor collects job postings that Google shows publicly to anyone. It does not log in or collect private data. Job postings can include recruiters' names or contact details. If you store or process personal data, you are responsible for doing so lawfully (for example under the GDPR or CCPA), and for following the terms of the sites you use the data with.