Google Jobs Scraper — Aggregated Job Listings

Search the entire job market in one query. Google Jobs aggregates listings from LinkedIn, Indeed, Glassdoor, ZipRecruiter, Monster, and 20+ other boards into a single search result — and this actor turns those results into clean, structured data.

No login. No API key. No signup with each individual job board. Pay only for the listings you receive.

Why scraping Google Jobs is non-trivial

Google Jobs looks like a normal search result, but extracting it cleanly is a different story:

• Google aggressively blocks datacenter IPs and unfamiliar request patterns.
• The job results widget is rendered dynamically and re-shuffles based on geography, language, and device.
• Pagination is implicit — there is no clean "next page" button.
• Google rotates layouts frequently, which breaks naive scrapers within weeks.

You could spend a sprint building this in-house and another sprint maintaining it. Or you call this actor and get JSON back.

Features

• One query → many job boards — LinkedIn, Indeed, Glassdoor, ZipRecruiter, Monster, and more.
• Geographic targeting — search any city, state, region, or "Remote".
• Multi-country support — US, UK, Canada, Australia, Germany, France, India, Netherlands, Singapore.
• Salary, posting date, and apply URL included in every listing where Google exposes them.
• Pay-per-result — you pay for actual job rows, not minutes or compute.

Input

{
  "keywords": "python developer",
  "location": "Austin, TX",
  "maxItems": 10,
  "country": "us",
  "proxyConfiguration": { "useApifyProxy": false }
}

Field	Type	Description
keywords	string	Job title or keywords (e.g. python developer, data scientist). Required.
location	string	City, state, region, or Remote. Leave empty for nation-wide results.
maxItems	integer	Max listings to return (1–50).
country	string	Google domain country: us, uk, ca, au, de, fr, in, nl, sg.
proxyConfiguration	object	Residential proxies strongly recommended for sustained runs.

Output

Each item in the dataset:

{
  "title": "Senior Python Developer",
  "company": "Acme Corp",
  "location": "Austin, TX (Hybrid)",
  "salary": "$140K–$180K",
  "postedDate": "3 days ago",
  "source": "LinkedIn",
  "applyUrl": "https://www.linkedin.com/jobs/view/...",
  "description": "We are looking for a Senior Python Developer..."
}

Use cases

• ATS and recruiting tools — feed fresh job data into your platform.
• Job board aggregation — power a niche board for a vertical or geography.
• Salary intelligence — track compensation trends across roles and regions.
• Lead generation — find companies hiring for a specific stack.
• Market research — monitor hiring velocity by industry, city, or skill.

Get started

1. Hit Run with the default input to see a sample of Austin software-engineering listings.
2. Swap keywords, location, and country for your target market.
3. Schedule daily runs and export to your warehouse, Sheet, or webhook.

Pay-per-result pricing — no surprise compute bills.