Google Jobs Scraper

hipersoft/google-jobs-scraper

Scrape Google Jobs by keyword and location in any country: job title, company, location, salary, employment type, posting age, description and direct apply links from every job board that lists it.

Run this scraper →See the API call

Total users

Monthly users

Total runs

Per job scraped

$0.005

Last rebuilt

Nov 4, 2026

Overview

Google Jobs Scraper extracts job listings from Google Jobs for any search and location: job title, company, location, salary, employment type, posting age, description and direct apply links from every job board that lists the role. One search covers LinkedIn, Indeed, company career sites and local boards in one format.

Google Jobs Scraper input — job searches, location, country and filters

What does Google Jobs Scraper do?

Type what you'd search on Google, such as data engineer with Singapore, and get clean rows with the real links to apply. It works in any country and language, and each row lists every site where the job is posted.

What data can you scrape from Google Jobs?

Data	Fields
Job	`title`, `company`, `location`, `employmentType`, `postedAgo`
Pay	`salary` (as shown, when shown)
Links	`applyUrl`, `applyLinks` (every board listing the job), `via`
Text	`description`
Context	`query`, `page`, `country`, `googleJobId`, `collectedAt`

Use cases

Job market research: see who is hiring for a role, and where.
Salary benchmarking: collect the pay ranges shown for a role and city.
Job boards and newsletters: feed in fresh listings with direct apply links.
Recruiting and sales: spot companies hiring for roles you serve.
Job alerts: schedule a search with Past day to catch new roles.

How to scrape Google Jobs

Open Google Jobs Scraper.
Add your job searches and a location.
Set the country code, and any filters you want.
Click Start.
Export to JSON, CSV, Excel or XML.

How many jobs do I get per search?

Plan on about 10 to 25 unique jobs per search. In tests a search returned 10, 15 and 22 jobs. Google shows jobs in small batches, and later batches repeat earlier ones, so duplicates are removed and the run stops once nothing new appears. To collect more, run more specific searches: several titles, several cities, or different dates. You pay only for jobs delivered.

Input

{
  "queries": ["data engineer", "analytics engineer"],
  "location": "Singapore",
  "country": "sg",
  "datePosted": "week",
  "employmentTypes": ["Full-time"],
  "maxResultsPerQuery": 50
}

Field	Description
`queries`	What to search for.
`location`	City or country added to each search.
`country`	Two-letter country to search from (default `us`).
`language`	Two-letter language code (default `en`).
`datePosted`	`any`, `today`, `3days`, `week` or `month`.
`employmentTypes`	Full-time, Part-time, Contractor, Internship.
`remoteOnly`	Keep jobs mentioning remote work in the title or location.
`withSalaryOnly`	Keep jobs that show a salary.
`includeDescription`	Include the job text (default on).
`maxResultsPerQuery`	Maximum jobs per search (default 50).

Output

A real row, with long values shortened.

Google Jobs Scraper output example — jobs with company, salary and apply link

{
  "title": "Data Engineer (Extendable Contract)",
  "company": "Achieve Group",
  "location": "Singapore",
  "via": "LinkedIn Singapore",
  "postedAgo": "12 hours ago",
  "employmentType": "Full-time",
  "salary": null,
  "applyLinks": [
    {
      "source": "LinkedIn Singapore",
      "url": "https://sg.linkedin.com/jobs/view/data-engineer-extendable-contract-at-achieve-group-4486338103"
    },
    {
      "source": "Jobs",
      "url": "https://www.adzuna.sg/details/5936536860"
    }
  ],
  "applyUrl": "https://sg.linkedin.com/jobs/view/data-engineer-extendable-contract-at-achieve-group-4486338103",
  "description": "Our client in the energy sector is seeking a Market Data Engineer to deliver dependable da…",
  "googleJobId": "4h3o43Pg9AttRzIEAAAAAA==",
  "query": "data engineer",
  "page": 1,
  "country": "sg",
  "collectedAt": "2026-11-04T15:44:55.468Z"
}

Output schema

Field	Type	Description
`title`	string	Job title.
`company`	string	Hiring company.
`location`	string	Job location.
`via`	string	Site Google names as the source.
`postedAgo`	string	Age as shown, such as "2 days ago". Not always shown.
`employmentType`	string	Full-time, Contractor and so on. Not always shown.
`salary`	string	Pay as shown. Most jobs don't show one.
`applyUrl`	string (URL)	First apply link.
`applyLinks`	array	Every site listing the job, with `source` and `url`.
`description`	string	Job text.
`googleJobId`	string	Google's ID for this job.
`query` / `page` / `country`	various	The search that found it.
`collectedAt`	string (ISO date)	When the row was collected.

Need more job data?

ATS Jobs Scraper: search company career sites on Greenhouse, Lever and Ashby.
Google Search Scraper: organic results, ads and more.

FAQ

How much does it cost? You pay per job delivered, shown on the Pricing tab. Set a maximum cost per run and it stops cleanly at that limit, storing only what you paid for.

Why did I get fewer jobs than my maximum? Each search only reaches the jobs Google shows for it, usually 10 to 25. Use more specific searches to get more.

Why is the salary empty? Most listings don't show pay. Use Only jobs showing a salary to keep the ones that do.

Which countries work? Set any two-letter country code and add the place to your location. Tested in Singapore, the US and the UK.

Can I get only new jobs? Yes. Schedule a daily run with Date posted set to Past day.

Can I connect this to other tools? Yes, through integrations on the Apify platform: Make, Zapier, Slack, Airbyte, GitHub, Google Drive and many more, plus the Apify API and webhooks.

Is it legal to scrape Google Jobs? It returns publicly listed job information. You are responsible for how you use it, including each site's terms and privacy law.

Feedback

How did it go? Good or bad, a review helps other users decide and tells us what to improve. Something broken or missing? Open an issue and we'll look at it.

Notes

Independent tool, not affiliated with Google. Returns only public data; you are responsible for how you use it.

Input

Field	Type	Description
`queries` Job searches	array	What to search for, one per line. Example: data engineer, nurse, marketing manager.
`location` Location	string	City or country added to each search. Example: Singapore, Berlin, New York.
`country` Country code	string	Two-letter country to search from. Example: us, sg, gb, de. Default: `"us"`
`language` Language	string	Two-letter language code. Default: `"en"`
`datePosted` Date posted	string · any, today, 3days, week, month	Only recent jobs. Default: `"any"`
`employmentTypes` Employment type	array	Keep only these types. Empty keeps all.
`remoteOnly` Remote only	boolean	Keep only jobs that mention remote work in the title or location. Default: `false`
`withSalaryOnly` Only jobs showing a salary	boolean	Keep only jobs with a salary shown. Default: `false`
`includeDescription` Include descriptions	boolean	Include the job description text. Default: `true`
`maxResultsPerQuery` Max jobs per search	integer	How many jobs to collect per search. Default: `50`

API

curl -X POST "https://api.apify.com/v2/acts/hipersoft~google-jobs-scraper/run-sync-get-dataset-items?token=$APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
  "queries": [
    "data engineer"
  ],
  "location": "Singapore",
  "country": "sg"
}'

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("hipersoft/google-jobs-scraper").call(run_input={
    "queries": [
        "data engineer"
    ],
    "location": "Singapore",
    "country": "sg"
})

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });
const run = await client.actor('hipersoft/google-jobs-scraper').call({
  "queries": [
    "data engineer"
  ],
  "location": "Singapore",
  "country": "sg"
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

Pricing

Event	Price	Paid plans from
Job scraped One job listing delivered.	$0.005	$0.0025

You pay only for what the run returns. Set a maximum cost per run and it stops cleanly at that limit.

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