Google Jobs Scraper

The Google Jobs scraper that actually returns salary and apply links.

Scrape Google for Jobs at scale. Get 22+ structured fields per posting — title, company, salary range, apply links (LinkedIn, Indeed, Glassdoor, company ATS), remote flag, qualifications, benefits, coordinates and more. No brittle HTML parsing: this actor combines Google's inline AF_initDataCallback payloads with schema.org JobPosting JSON-LD and DOM fallbacks for maximum coverage.

Why this actor

Most Google Jobs scrapers on the market return 5–6 fields and crash on pagination. This one:

• Returns 22 fields per job, including salaryMin / salaryMax / salaryCurrency / salaryPeriod.
• Extracts apply links per network (LinkedIn, Indeed, Glassdoor, Workday, Greenhouse, Lever, company career pages).
• Supports matrix expansion for large runs: when you ask for more than 500 jobs, the actor automatically rotates the datePosted filter (today → 3days → week → month) and iterates employment types to unlock Google's pagination ceiling.
• Ships with a hard cost ceiling (maxCost, default $2) so runs never blow past your budget.
• Uses Brightdata Scraping Browser over CDP — no cookie input, no manual auth, just results.

Pricing

Pay-per-event:

• $0.008 per job scraped (primary event)
• $0.05 minimum charge per run
• No actor-start fee.

Example: 500 jobs = $4.00. 2000 jobs = $16.00. You know exactly what you'll pay.

Coverage

Supported countries (Google's Jobs widget is disabled in the EU, so EU is intentionally out of scope):

Code	Country
us	United States
br	Brazil
mx	Mexico
ca	Canada
gb	United Kingdom
in	India
au	Australia
jp	Japan
sg	Singapore

Input

{
  "queries": ["software engineer", "data scientist"],
  "location": "San Francisco, CA",
  "countryCode": "us",
  "languageCode": "en",
  "maxItems": 500,
  "datePosted": "week",
  "jobType": ["FULLTIME"],
  "workFromHome": false,
  "maxCost": 2
}

Output

Each job record has:

{
  "jobId": "eyJhbGciOi...",
  "title": "Senior Software Engineer",
  "companyName": "Acme Inc",
  "companyLogo": "https://...",
  "location": "San Francisco, CA, US",
  "latitude": 37.77,
  "longitude": -122.42,
  "description": "We're hiring...",
  "descriptionHtml": "<p>We're hiring...</p>",
  "postedAt": "2026-04-10T00:00:00Z",
  "postedAtIso": "2026-04-10T00:00:00.000Z",
  "jobType": "FULLTIME",
  "workFromHome": false,
  "salaryMin": 180000,
  "salaryMax": 240000,
  "salaryCurrency": "USD",
  "salaryPeriod": "YEAR",
  "benefits": ["Health insurance", "401(k)"],
  "qualifications": ["5+ years experience", "Go or Rust"],
  "responsibilities": ["Design distributed systems", "Mentor engineers"],
  "applyOptions": [
    { "network": "linkedin", "url": "https://www.linkedin.com/jobs/...", "directApply": false },
    { "network": "greenhouse", "url": "https://boards.greenhouse.io/...", "directApply": false }
  ],
  "postedVia": "LinkedIn",
  "scrapedAt": "2026-04-15T12:00:00.000Z",
  "sourceQuery": "software engineer"
}

Notes & limits

• EU countries are not supported (Google disabled the widget there in 2023).
• Google caps visible results per search to ~100 per filter slice; that's why maxItems > 500 triggers matrix expansion.
• jobId is sourced from Google's internal identifier when available; otherwise synthesized from title|company|location to support dedup across runs.
• Rate us on the Apify Store if this actor helped you!