Google Jobs Scraper – Cheap, Full Descriptions & Apply Links

What does Google Jobs Scraper do?

It collects job postings from Google Jobs (Google for Jobs), where Google merges listings from LinkedIn, Indeed, Glassdoor, ZipRecruiter, Workday, Greenhouse, company career pages and many other boards. For each posting you get:

• Title, company, location and the source board (via)
• Salary when the posting has one, plus schedule type (full-time, contract, …) and when it was posted
• Full description and Google's job highlights (qualifications, responsibilities, benefits)
• Direct apply links for every board that carries the posting
• Google's stable jobId for deduplication and a share link

Why use this Google Jobs scraper?

• Low price per job. It reads Google's job results through Apify's Google SERP proxy, which is included in the per-job price. No browser, no third-party API on top.
• More than 10 jobs per search. Google shows about 10 postings per search. With Get more than 10 jobs per search on, the scraper also runs close variants (remote, senior, full time, …) and merges unique jobs by jobId. It stops once two variants in a row add almost nothing new, and duplicates are never charged.
• Any country. Set country and put cities in locations.
• Honest failures. A search that fails after it already returned jobs keeps those jobs; the run fails only when every search failed and nothing was found.

Input

Field	Description
queries	Job searches, e.g. "python developer" or "registered nurse" (up to 100).
locations	Optional cities or regions, e.g. "Austin, TX". Every query runs for every location.
country	Two-letter country code Google searches from: us, gb, de, in, ca, …
maxItemsPerSearch	Unique jobs per query and location pair (1–100).
expandSearch	Get more than 10 jobs per search by running close variants.
maxConcurrency, maxRetries	Parallel searches (1–5) and attempts per page (1–3).

{
  "queries": ["python developer", "data engineer"],
  "locations": ["Austin, TX", "New York, NY"],
  "country": "us",
  "maxItemsPerSearch": 50
}

This example makes 4 searches: each query runs once for every location.

Output fields

Field	Description
jobId	Google's stable posting ID, safe for deduplication across runs
title, companyName, location, via	Posting basics and the board Google took it from
postedAt, salary, scheduleType	As shown by Google ("2 days ago", "59K–99K a year", "Full-time")
extensions	All extension chips as Google shows them
highlights	{qualifications, responsibilities, benefits} lists
description	Full job description text
applyOptions	List of {title, url}: direct apply links for every board
shareLink	Google's share URL for the posting
query, searchLocation, searchQuery	What was searched, including the variant that found the job
scrapedAt	ISO 8601 UTC timestamp

{
  "query": "python developer",
  "jobId": "uRVo5-O2j3zufA0vAAAAAA==",
  "title": "Python Senior Developer - DevOps",
  "companyName": "HCL AMERICA INC.",
  "location": "United States",
  "via": "Indeed",
  "postedAt": "2 days ago",
  "salary": "59K–99K a year",
  "scheduleType": "Full-time",
  "highlights": {"qualifications": ["Strong proficiency in Python software development"]},
  "description": "Job Summary\nThe Senior Developer will be responsible for …",
  "applyOptions": [{"title": "Indeed", "url": "https://www.indeed.com/viewjob?jk=…"}],
  "scrapedAt": "2026-10-28T15:00:00Z"
}

How much does it cost to scrape Google Jobs?

You pay per unique job in the dataset. Platform usage, including the Google SERP proxy, is included in the price.

Plan	Price per 1,000 jobs
Free	$2.50
Starter (Bronze)	$2.00
Scale (Silver)	$1.80
Business (Gold)	$1.50

Each run also charges $0.00005 for the start. Example: 500 jobs on the Starter plan cost $1.00. Duplicates are never pushed, failed searches cost nothing, and a maximum total charge on the run stops the scraper once the budget is used up.

Use Google Jobs data in Python

from apify_client import ApifyClient

client = ApifyClient("<YOUR_API_TOKEN>")
run = client.actor("murmuring_headlamp/google-jobs-fast").call(
    run_input={"queries": ["data engineer"], "locations": ["Berlin"], "country": "de"}
)
jobs = client.dataset(run["defaultDatasetId"]).list_items().items

Tips

• For broad coverage, list several cities in locations rather than raising maxItemsPerSearch. Each city returns its own set of postings.
• location: "Anywhere" marks remote postings.
• Leave the default Google SERP proxy on. Through other proxies Google only returns a JavaScript placeholder page.

FAQ

Why not every job for a search in one go? Google loads further postings with JavaScript-only infinite scroll. Search variants and locations get you past the first 10 without a browser. Each run reports how many unique jobs it found.

The run says Google returned pages without job markup. Google changed its layout or served a placeholder; the pages are saved as DEBUG_*.html in the run's key-value store and the scraper is fixed from them. Nothing was charged for those searches.

Is it legal? Job postings are public business listings. The scraper doesn't log in and collects no candidate data. You're responsible for how you use the results.

Related scrapers

• Google Trends Scraper: interest over time, by region and related queries.

This Actor is not affiliated with Google.