💼 Google Jobs Scraper: Listings, Salaries & Direct Apply Links

Get job listings from Google Jobs for any role and city, with the direct apply links to LinkedIn, Indeed, Glassdoor, ZipRecruiter, Dice and company career sites. Google Jobs gathers postings from hundreds of job boards into one place; this Actor turns that into clean, structured data, one row per job.

• ✅ Every apply link, with the site name and tracking parameters removed, not Google redirects
• ✅ Salary, job type and posting age when the posting gives them
• ✅ Google's job highlights (qualifications, benefits, responsibilities) and the full description
• ✅ Many searches and cities in one run, with duplicates removed
• ✅ Pay only for unique jobs: repeats, empty searches and failed searches are free

What does Google Jobs Scraper do?

You give it job searches ("registered nurse", "python developer") and, optionally, locations ("Austin, TX", "Denver, CO"). It then:

1. Runs every search in every location on Google Jobs, as a visitor from the country you choose would see it.
2. Reads each listing: title, company, location, the job board it came from, salary, job type, posting age, highlights and description.
3. Collects the direct apply links Google lists for each job.
4. Drops jobs it has already saved in the same run, so the same posting found by two searches is only charged once.

Use cases

• 🧑‍💼 Recruiting and staffing. A fresh feed of openings by role and city every morning, with the links to apply.
• 💰 Sales intelligence. Companies that are hiring have budget. Spot who is growing a team you sell to.
• 📊 Labour-market research. Salary ranges, demand by skill, remote versus on-site, by city.
• 📰 Job boards and newsletters. Current listings with apply links for your niche or region.
• 🤖 AI agents. "Find senior data engineer roles in Denver posted this week, with salaries."

What data can you get?

Field	What it is
title, company, location	The basics of the posting
via	The job board Google found it on, e.g. LinkedIn
salary	As published, e.g. 98K–174K a year or 35–54 an hour. Only when the employer gave one
employmentType	Full-time, Part-time, Contractor, Internship...
postedAgo, postedAt	Google's "3 days ago", and an estimated timestamp calculated from it
extensions	Other tags Google shows, such as Health insurance, Paid time off, No degree mentioned
highlights	Google's summary bullets: Qualifications, Benefits, Responsibilities
description	The full job description (switch off Include the full job description for smaller results)
applyLinks	[{ source, url }] for every place you can apply
googleJobUrl	The job on Google Jobs
jobId	Google's ID for the posting, stable across runs
searchQuery, searchLocation, position	Which search found it, and where it ranked

How to use it

1. Click Try for free (or Start) at the top of this page.
2. Type what you would search for into Job searches, one per line.
3. Add cities, regions or "remote" to Locations, or leave it empty and put the location in the search text.
4. Optionally choose Posted within (past 24 hours, 3 days, week or month). Google's own date filter is approximate, so by default jobs outside the window are dropped and not charged; switch off Only keep jobs inside that window to get everything Google returns.
5. Press Start, then download the results from the Output tab as Excel, CSV or JSON.

How to get many results

Each Google Jobs search returns about 10 jobs. To collect more, add more searches and more locations: every search runs once in every location, and duplicates are removed.

Searches	Locations	Searches run	Unique jobs, at most
1	1	1	about 10
3	3	9	about 90
10	10	100	about 1,000

Searches that overlap return some of the same jobs, which are saved once, so the real number is somewhat lower. In testing, 2 roles in 2 cities gave 40 unique jobs out of 40. Variations work well: "registered nurse", "RN", "ICU nurse", "travel nurse".

Input examples

One role in a few cities, posted this week.

{
  "queries": ["registered nurse"],
  "locations": ["Austin, TX", "Dallas, TX", "Houston, TX"],
  "datePosted": "week"
}

Several related roles, location in the search text.

{
  "queries": ["python developer remote", "django developer remote", "backend engineer python remote"]
}

Another country and language.

{
  "queries": ["software engineer"],
  "locations": ["London"],
  "country": "gb",
  "language": "en"
}

Output example

{
  "jobId": "rfk9YYVvePDNvWB2AAAAAA==",
  "title": "RN Infusion",
  "company": "UCHealth",
  "location": "Denver, CO",
  "via": "LinkedIn",
  "postedAgo": "2 days ago",
  "postedAt": "2026-10-12T18:51:52.214Z",
  "employmentType": "Full-time",
  "salary": "35–54 an hour",
  "extensions": ["Dental insurance", "Paid time off", "Health insurance"],
  "highlights": {
    "Qualifications": ["Within scope of job, requires critical thinking skills, decisive judgement and the ability to work with minimal supervision", "..."],
    "Benefits": ["Work Schedule: Full Time, 72.00 hours per pay period (2 weeks)", "Pay: $35.29 - $54.71 / hour"],
    "Responsibilities": ["Provides direct patient care in an outpatient infusion/apheresis setting...", "..."]
  },
  "description": "Description\n• Location: UCHealth UCHlth Cherry Creek Med Ctr, US:CO:Denver\n• Department: UCHA Infusion at CCMC\n• Shift: Days\n...",
  "applyLinks": [
    { "source": "LinkedIn", "url": "https://www.linkedin.com/jobs/view/rn-infusion-at-uchealth-4476625475" },
    { "source": "Indeed", "url": "https://www.indeed.com/viewjob?jk=29964b93b12179d0" }
  ],
  "googleJobUrl": "https://www.google.com/search?ibp=htl;jobs&q=registered%20nurse%20in%20Denver%2C%20CO&htidocid=rfk9YYVvePDNvWB2AAAAAA%3D%3D",
  "searchQuery": "registered nurse",
  "searchLocation": "Denver, CO",
  "position": 4,
  "scrapedAt": "2026-10-14T18:51:52.214Z"
}

Statuses and errors

The dataset contains only jobs, so it stays clean for spreadsheets and integrations. Anything that goes wrong is in the run log:

Log line	Meaning	Charged?
"nurse in Austin, TX": 10 job(s), 7 new.	Normal. "New" excludes jobs already found by an earlier search	Only the new ones
"...": 0 job(s), 0 new.	Google Jobs had nothing for that search	No
..., 3 older than the "today" window skipped	Google returned postings older than Posted within allows; they were dropped	No
"...": Google did not return results after 4 attempts	Google refused the search four times in a row. The rest of the run continues	No
Run fails with Every search failed	Google refused every search in the run. Try again in a few minutes	No

How much does it cost?

You pay per unique job saved. Duplicates, empty searches and failed searches are free. Platform usage and Google search proxies are included.

Jobs	Price on the Free and Bronze tiers
100	$0.50
1,000	$5.00
10,000	$50.00

Larger Apify plans pay less per job: 15% less on Silver, and 25% less on Gold and above.

FAQ

Can I use it through the API?

Yes. For a quick search, the synchronous endpoint returns the jobs in one request:

curl -X POST "https://api.apify.com/v2/acts/optimistical_lectern~google-jobs-scraper/run-sync-get-dataset-items?token=YOUR_APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"queries": ["data analyst"], "locations": ["Austin, TX"]}'

JavaScript:

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });
const run = await client.actor('optimistical_lectern/google-jobs-scraper').call({ queries: ['data analyst'], locations: ['Austin, TX'], datePosted: 'week' });
const { items } = await client.dataset(run.defaultDatasetId).listItems();

Python:

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("optimistical_lectern/google-jobs-scraper").call(run_input={"queries": ["data analyst"], "locations": ["Austin, TX"], "datePosted": "week"})
items = client.dataset(run["defaultDatasetId"]).list_items().items

Can AI agents use it?

Yes. It runs with limited permissions, so it needs no approval step. Add it to Claude, Cursor or any other MCP client through Apify's MCP server at mcp.apify.com, using the Actor name optimistical_lectern/google-jobs-scraper.

Can I get new jobs every day?

Yes. Create a schedule in Apify Console with Posted within set to Past 24 hours, and send the results to Google Sheets, Slack, a webhook or your database with an integration. jobId stays the same across runs, so you can tell new postings from ones you have seen.

Why about 10 jobs per search?

That is what Google Jobs shows for a search before you scroll. Add more searches, variations and locations to cover more of the market.

Why is salary sometimes empty?

Salary is only shown when the employer published it. Google's highlights sometimes include pay information too; check highlights.Benefits.

Is it legal to scrape Google Jobs?

The tool collects job postings that are publicly shown to any visitor. Using automated tools on Google may go against Google's terms of service, and whether that matters depends on how and where you use the data. If you are unsure, ask a lawyer.

Something looks wrong?

Open an issue on the Issues tab with the search and location. Every report is read.

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