Google Jobs Scraper

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Search Google Jobs and extract structured job listings at scale — no API key, no manual browsing, no rate-limit headaches.

Point it at any job title and city. Get back a clean dataset with full descriptions, salary ranges, employment type, and direct apply links from LinkedIn, Indeed, company career pages, and more.

Who is this for?

Recruiters & HR teams Stop copying job listings by hand. Run a search, download a spreadsheet, and have every open role in your target market in minutes.

Compensation analysts Collect salary data from hundreds of listings across cities and roles. Build benchmarks without expensive HR data subscriptions.

Developers & data engineers Plug job data directly into your ATS, CRM, or data pipeline via API or webhook. Full JSON output, Apify dataset storage, and SDK support for Python and JavaScript.

Market researchers & academics Track hiring trends by company, location, or role type. Analyze which skills are in demand, where hiring is growing, and how job descriptions change over time.

What you get

Every job listing comes with:

Sample record

{
"title":"Senior Software Engineer - Python",
"companyName":"Travelers",
"location":"London, United Kingdom",
"via":"via Travelers Careers",
"description":"Taking care of our customers, our communities and each other...",
"jobHighlights":[
{
"title":"Qualifications",
"items":[
"5+ years of Python experience",
"Experience with microservices architecture"
]
},
{
"title":"Benefits",
"items":["Competitive salary","Hybrid working","Health insurance"]
}
],
"applyLink":[
{"title":"careers.travelers.com","link":"https://careers.travelers.com/..."},
{"title":"indeed.com","link":"https://uk.indeed.com/..."},
{"title":"linkedin.com","link":"https://uk.linkedin.com/..."}
],
"metadata":{
"postedAt":"16 days ago",
"scheduleType":"Full-time",
"salary":null
},
"logo":"https://encrypted-tbn0.gstatic.com/images?q=..."
}

Getting started

1. Set your search

2. Run it

Click Start in the Apify console, or use the API:

{
"keyword":"Software Engineer",
"location":"London",
"maxResults":100
}

3. Get your data

Results are saved to an Apify dataset the moment each batch completes. Export as JSON, CSV, or Excel — or stream directly into your app via the Apify API.

For developers

JavaScript / TypeScript

import{ ApifyClient }from'apify-client';
const client =newApifyClient({token:'YOUR_API_TOKEN'});
const run =await client.actor('YOUR_ACTOR_ID').call({
keyword:'Software Engineer',
location:'New York, NY',
maxResults:100,
});
const{ items }=await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

Python

from apify_client import ApifyClient
client = ApifyClient('YOUR_API_TOKEN')
run = client.actor('YOUR_ACTOR_ID').call(run_input={
'keyword':'Data Scientist',
'location':'London',
'maxResults':100,
})
for item in client.dataset(run['defaultDatasetId']).iterate_items():
print(item)

You might also need

Whether you're sourcing candidates, benchmarking compensation, or researching labor market trends, pairing this actor with Upwork data gives you a fuller view of the job market:

• Upwork Job Search Scraper — Job postings on Upwork: project budgets, required skills, and contract demand by category
• Upwork Talent Scraper — Talent profiles on Upwork: rates, skills, reviews, and work history for direct sourcing

Limitations

• Supported regions: Google Jobs is available in select countries. Use the gl parameter to specify your target country from the supported country code list.
• Volume: Up to 500 jobs per run.