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G2
4.7/5
Excellent
Trustpilot

Turn Google Jobs
into structured data

Search Google Jobs by role and city and get every listing with company, location, full description, highlights, and apply links, ready for job boards and hiring research.

01-Integration

Integrate Google Jobs API your way

Connect to Scrape.ly using Python, JavaScript, HTTP, cURL, OpenAPI, or MCP and start extracting Google Jobs data in minutes.

from scrapely_client import ScrapelyClient
client = ScrapelyClient('YOUR_TOKEN', api_url='https://api.scrape.ly')
run = client.actor('openrole/google-jobs-scraper').call(
run_input={
'query': 'Software Engineer',
'location': 'San Francisco, CA',
'maxResults': 10,
}
)
for item in client.dataset(run.default_dataset_id).iterate_items():
print(item)
02-Input & Output

Send a role and a city, get structured job listings

Pass job titles, locations, countries, and posting dates into Scrape.ly. Get structured outputs with job titles and companies, locations, full descriptions, qualifications and benefits, and apply links, and more.

Input
1 2 3 4 5
{
 "query": "Software Engineer",
 "location": "San Francisco, CA",
 "maxResults": 10
}
Output
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17
{
 "title": "Senior Software Engineer, Platform",
 "company_name": "Acme Robotics",
 "location": "San Francisco, CA",
 "via": "LinkedIn",
 "detected_extensions": {
  "posted_at": "2 days ago",
  "schedule_type": "Full-time"
 },
 "apply_options": [
  {
   "title": "Apply on LinkedIn",
   "link": "https://www.linkedin.com/jobs/view/1"
  }
 ],
 "query": "Software Engineer"
}
03-How it works

Start extracting Google Jobs data in four simple steps

Scrape.ly keeps the setup simple so you can move from signup to live Google Jobs data without wasting time on scraping infrastructure.

Step 1

Create your Scrape.ly account

Create your account and get access to ready-made APIs, scrapers, and automation tools.

Step 2

Get your Scrape.ly API token

Copy your API token from the Scrape.ly dashboard and use it to authenticate your requests.

Step 3

Connect Google Jobs API

Choose Python, JavaScript, HTTP, or MCP and connect Scrape.ly to your app or workflow.

Step 4

Fetch Google Jobs data

Send your job titles, locations, countries, and posting dates, then receive clean structured data ready for analysis.

04-Why Scrape.ly

Everything you need to extract data reliably

Scrape.ly gives you ready-made APIs, proxy support, monitoring, exports, integrations, and scalable infrastructure in one platform.

Never Get Blocked

Use built-in proxy support to reduce blocks, rate limits, and failed requests.

Export Any Format

Get results in JSON, CSV, Excel, XML, HTML table, RSS, or other workflow-friendly formats.

Monitor Every Run

Track scraper status, performance, failures, retries, and outputs from one dashboard.

Built-In Integrations

Connect with webhooks, APIs, automation tools, cloud apps, and internal systems.

Scalable Infrastructure

Run small tests or high-volume extraction jobs without rebuilding your scraping stack.

Developer-Friendly

Use clean APIs, SDKs, docs, examples, and structured outputs built for real workflows.

05-AI-Ready Data

FeedGoogle Jobsdata into your tools instantly

Connect Scrape.ly with your apps, dashboards, sheets, agents, and automation workflows to turn Google Jobs data into action.

06-Explore APIs

More Google Jobs APIs on Scrape.ly

Browse ready-made Google Jobs scrapers and APIs available inside Scrape.ly and choose the one that fits your workflow.

//07-FAQ\\

Common questions about Google Jobs API

Quick answers about using Scrape.ly's Google Jobs API, available data, setup, and legal usage.

Got more questions?Reach out to us


Official APIs, where they exist, usually need approval, keys, or paid tiers and limit which public data you can pull. Scrape.ly's Google Jobs API collects the public data shown on Google Jobs and returns it as structured JSON, with no approval process.

G2
4.7/5
Excellent
Trustpilot

The internet is full of data.
Start owning yours.

Scrape.ly gives you the infrastructure, the tooling, and the team to extract, process, and operationalize web data at any scale. Setup takes minutes. The advantage lasts forever.

No credit card. No setup calls.