Scrape Google Jobs search results — job titles, companies, locations, salaries, and posting dates — from all major job boards in one call. Structured JSON. Start for FREE.
Also: Google Jobs Scraper · Google Job Search API · Google Jobs API Pricing
{
"jobs": [{
"title": "Senior Software Engineer",
"company_name": "Stripe",
"location": "San Francisco, CA",
"salary": {
"min": 180000,
"max": 280000,
"currency": "USD",
"period": "year"
},
"job_type": "FULLTIME",
"schedule_type": "Full-time",
"work_from_home": true,
"posted_at": "3 days ago"
}, ...]
}A Google Jobs API retrieves job listings from Google's aggregated job search for any keyword, location, and filter — programmatically, at scale. Google Jobs aggregates postings from thousands of job boards, company career pages, and staffing agencies into a single index — making it the most comprehensive source of live job listing data available without managing multiple integrations.
Google does not offer an official Jobs data API for developers. The Google for Jobs markup specification is for publishers adding jobs to Google's index, not for reading listings out. For job board building, google jobs scraper pipelines, salary intelligence, labour market research, or google job search api alternatives, developers use third-party services like ScrapeBadger.
ScrapeBadger's Google Jobs API returns job title, company name, location, employment type, salary range (when posted), posting date, job description snippet, and source URL — all in consistent JSON.
One API call. Live job data back in structured JSON. First request in under 5 minutes.
Drop-in REST endpoint with structured JSON response.
Job postings from Google Jobs with title, company, location, and description
/v1/google/jobs/searchFrom job boards to workforce intelligence — the most valuable applications for live jobs data.
Populate job board platforms with live listings from Google's aggregated index. Re-scrape on a schedule to keep inventory current as new postings go live across thousands of source sites.
Extract salary ranges from listings at scale. Analyse how compensation varies by role, company size, location, and industry for benchmarking tools and HR analytics platforms.
Track hiring volume, job category demand, and geographic distribution of open roles over time. Build dashboards that show which skills are most in demand and where.
Feed applicant tracking systems with live market context — open comparable roles, competitor hiring activity, and current salary ranges for equivalent positions.
Build tools that help candidates find relevant openings, benchmark salary expectations, and identify where demand for their skills is highest — grounded in live google jobs scraper data.
Track when competitors are posting large volumes of engineering, sales, or leadership roles — an early signal of expansion, product launches, or strategic pivots.
ScrapeBadger's hosted MCP server exposes 92 tools — including all Google APIs — to any AI agent that supports the Model Context Protocol. No code changes. Just add one config line and your agent can call google_jobs_search natively.
Most Google data APIs charge monthly subscriptions whether you use them or not. ScrapeBadger's model is different.
Buy credits once and use them whenever you need — no monthly reset, no "use it or lose it" pressure. ScrapeBadger's pay-as-you-go credits last forever, so projects with variable or seasonal query volumes never waste budget on unused allocation.
ScrapeBadger offers two models: pay-as-you-go credits that never expire, or a subscription plan at a lower per-credit rate for predictable, high-volume usage. On a subscription, unused credits roll over to the following month — so you never lose what you paid for. No lock-in, cancel anytime.
ScrapeBadger covers the full Google product ecosystem from a single API key and credit balance: SERP, Maps, Reviews, News, Trends, Jobs, Shopping, Patents, Scholar, Images, Finance, Flights, Hotels, Lens, AI Mode, Autocomplete, Shorts, and more. One account, one integration, one billing relationship — versus managing multiple subscriptions across separate data providers.
Failed requests — timeouts, blocked responses, empty results — are never charged. Credits are deducted only when the API returns a successful, data-containing response. At scale, where failure rates affect your effective cost per result, this matters significantly. You pay for data you received, not for infrastructure you used.
Start with pay-as-you-go credits that never expire, or save more with a monthly subscription. No hidden fees, no lock-in.
Custom credit volumes, dedicated infrastructure, SLA guarantees, invoiced billing, and a dedicated account manager. Built around your actual usage — not a fixed tier.
Everything you need to know about the Google Jobs API.
Sign up free and get 1,000 API credits — enough for 142 jobs requests. No credit card required.