Job search data, structured for developers

Google Jobs API for structured job search data

Retrieve structured job listings with titles, companies, locations, descriptions, posting dates, salary fields, and apply links for recruitment, AI, and labor-market products.

No credit card500 free requestsNo-code friendly

Google Jobs API playground

Preview structured job listing data

GoogleJobs

Software Engineer

New York, NY

0 jobs found

JSON structured data

{
  "query": "Software Engineer",
  "location": "New York, NY",
  "result_count": 0,
  "jobs": []
}

Live Google Jobs results, extracted from the real API response. Salary and location are only shown when Google's own listing includes them.

Developer experience

Simple for one page. Flexible for production.

Start with a URL and output formats, then add rendering waits, country targeting, parsers, or LLM extraction.

REST APIAPI key authenticationHTML, Markdown, and textCountry targetingTimeout controlsBatch workflows

Read the docs

curl --request POST \
  --url https://api.olostep.com/v1/scrapes \
  --header 'Authorization: Bearer YOUR_API_KEY' \
  --header 'Content-Type: application/json' \
  --data '{
    "url_to_scrape": "https://www.google.com/search?q=Software%20Engineer%20New%20York%2C%20NY&ibp=htl;jobs&gl=us&hl=en",
    "formats": ["html"]
  }'

Trusted by the best startups in the world

The problem

Job search data is valuable, but hard to structure

Listings are scattered
Roles appear across employer sites, job boards, aggregators, staffing platforms, and regional sources.
Results change quickly
Listings expire, salaries change, links move, and demand shifts across roles, employers, and locations.
Pages are not product-ready
Products need titles, companies, locations, salaries, posting dates, descriptions, and apply links.

Structured jobs data

Turn job searches into clean API fields

Use normalized listings in job boards, hiring dashboards, recruitment tools, AI assistants, market research, and monitoring workflows.

Job titlesCompany namesLocationsWorkplace typesEmployment typesPosting datesSalary fieldsApply links

{
  "job_id": "job_01HZA8M3",
  "title": "Senior Software Engineer",
  "company": "Northstar Labs",
  "location": "New York, NY",
  "workplace_type": "Hybrid",
  "employment_type": "Full-time",
  "posted_at": "2 hours ago",
  "salary": "$145,000–$180,000 a year",
  "apply_links": [
    {
      "source": "Company careers",
      "url": "https://example.com/careers/job-01"
    }
  ]
}

Capabilities

Built for job search and hiring data workflows

Job search results
Fetch structured listings for roles, companies, skills, industries, locations, and hiring trends.
Location targeting
Search supported countries, regions, cities, and local markets to analyze geographic demand.
Employment filters
Filter supported full-time, part-time, contractor, internship, temporary, and workplace types.
Freshness controls
Focus workflows on recently posted roles using supported posting-time windows.
Apply link extraction
Return available source and destination links so users can move from discovery to action.
Structured JSON output
Receive normalized fields that are easier to store, filter, display, and analyze.

Use cases

Use jobs data across your product stack

Job boards
Add role discovery, location-based listings, company pages, filters, and apply workflows.
Recruitment platforms
Monitor hiring demand, source open roles, and track company hiring activity.
AI career products
Give assistants current role requirements, salary context, and available apply links.
Labor market intelligence
Analyze hiring trends, employer activity, geographic demand, and workforce signals.

How it works

From a role query to usable job data

Send a job search

Choose a role, company, location, language, supported employment type, and freshness window.

Retrieve and structure results

Process the search and normalize available listings into developer-ready fields.

Use the response

Send jobs into your board, recruitment system, AI assistant, database, or dashboard.

Comparison

Build your own job search pipeline or use an API?

Requirement

Build internally

Use Google Jobs API

Job result collection

Build and maintain it

Request structured results

Location and filters

Custom query logic

Use supported parameters

Apply link parsing

Extract source links

Receive available apply fields

Salary extraction

Parse and normalize

Use available salary fields

Deduplication

Build matching logic

Use IDs and source metadata

Developer time

High maintenance

Faster integration

Designed for responsible job data workflows

Review source terms, employer rights, copyright, privacy, retention, attribution, salary-disclosure rules, and applicable laws before storing, displaying, or redistributing job data.

Attribute sources clearlyRemove expired rolesAvoid misleading apply linksHonor removal requestsAvoid unnecessary personal dataUse reasonable request rates

Give AI products fresh job-market context

Pass available roles, requirements, salary ranges, employer context, and apply links into career assistants, matching systems, RAG workflows, and hiring dashboards.

Career assistantsJob recommendationsRecruiting agentsHiring trendsSalary research

Pricing

Google Jobs API pricing

Start with 500 free requests, then scale your job-data workflow.

Starter
$9/ month
For testing, prototypes, and small workflows.
- Everything in Free
- 5,000 successful requests
- 150 concurrent requests
Get started
Standard
$99/ month
For job products and recurring monitoring.
- Everything in Starter
- 200K successful requests
- 500 concurrent requests
Purchase now
Scale
$399/ month
For high-volume platforms and enterprise workflows.
- Everything in Standard
- 1 million successful requests
- AI-powered browser automations
Scale now

Frequently asked questions

Product & Capabilities

What is a Google Jobs API?
A Google Jobs API lets developers send job-search queries programmatically and receive structured listing data such as titles, companies, locations, descriptions, posting dates, salaries, employment types, and apply links.
Is this the official Google Jobs API?
No. This page describes an Olostep workflow for retrieving and structuring Google Jobs result data. It is not an official Google product, partnership, or endorsement.
What data can the API return?
Typical fields include job title, company, location, description, employment type, posting date, salary details, workplace type, source URL, apply links, job identifiers, and query metadata. Exact coverage varies.
How is this different from a Web Search API?
Web Search APIs return broad public web results. A jobs results API focuses on job-specific listings and fields such as employer, location, salary, employment type, and apply links.

Usage & Automation

Can I filter jobs by location?
Location targeting can be used where supported for country-, region-, or city-level job discovery and labor-market analysis.
Can I filter by employment type?
Where supported, filters can include full-time, part-time, contractor, temporary, internship, remote, hybrid, and onsite roles.
Can I retrieve recently posted jobs only?
Freshness parameters can be used where supported. Available time windows and how posting dates are interpreted should be confirmed for the production integration.
How is this different from Google Cloud Talent Solution?
Cloud Talent Solution helps organizations build search over their own job inventory. A jobs results-data workflow retrieves and structures public job-search results for discovery, monitoring, or analysis.
Do I need to manage scraping infrastructure?
No. Olostep handles request execution, retrieval, parsing, normalization, and JSON delivery for the configured workflow.

Pricing & Plans

Can I use this API for AI career tools?
Yes. Structured listings can provide current context for career assistants, recruiting agents, recommendation systems, matching workflows, and labor-market tools.
Can I republish full job descriptions?
Do not assume full descriptions can be republished freely. Review employer rights, source terms, copyright, attribution, retention, and applicable laws before storing or redistributing content.
How do I start?
Create an API key, test a role and location query, inspect the available fields, and connect the structured response to your product workflow.

Add structured job search data without maintaining scraping infrastructure

Start with one role and location, inspect the available fields, and connect job-market data to recruitment, AI, analytics, or hiring workflows.

Get API key

Google Jobs API for structured job search data

Preview structured job listing data

Simple for one page. Flexible for production.

Trusted by the best startups in the world

Job search data is valuable, but hard to structure

Listings are scattered

Results change quickly

Pages are not product-ready

Turn job searches into clean API fields

Built for job search and hiring data workflows

Job search results

Location targeting

Employment filters

Freshness controls

Apply link extraction

Structured JSON output