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Google Jobs Scraper

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A fast, high-performance scraper built for lead generation, competitor analysis, and business intelligence. Extracts detailed business profiles, including name, contact details, emails, phone numbers, location, ratings, and reviews from Google. Supports custom search URLs, proxy rotation, and pag...

Pricing

from $4.99 / 1,000 results

Rating

0.0

(0)

Developer

Coding Frontned

Actor stats

Bookmarked

Total users

Monthly active users

2 days ago

Last modified

Reliability contract

Saves job rows only—generic web-search fallback rows are never mixed into the dataset.
Requires a non-empty title and company for every row.
Deduplicates by Google job URL when available, otherwise by title, company, location, and source together.
Normalizes Google redirect links and retains only HTTP(S) URLs.
Represents genuinely unavailable optional facts as null or an empty apply-link array.
Writes a strict OUTPUT record for successful, explicitly empty, and failed runs.
Bounds one response to 6 MB, each request to 10–90 seconds, and retries to zero through two.
Targets the established ibp=htl;jobs Google route; current Google responses may render the Jobs vertical as udm=8.

The default GOOGLE_SERP proxy is designed for Google result pages. A caller may supply another standard Apify proxy configuration, but direct or Residential Google access may be slower or challenged.

Input

Field	Type	Default	Description
`query`	string	required	Job title or keywords, up to 200 characters.
`location`	string	empty	Optional search location.
`maxItems`	integer	`10`	Save 1–10 jobs from the bounded response.
`gl`	string	`us`	Two-letter Google country code.
`hl`	string	`en`	Language code, optionally with country suffix.
`maxRequestRetries`	integer	`1`	Zero to two retries.
`requestTimeoutSecs`	integer	`60`	Hard timeout per request, from 10 to 90 seconds.
`proxyConfiguration`	object	Google SERP proxy	Standard Apify proxy settings.

{
  "query": "software engineer",
  "location": "San Francisco",
  "maxItems": 5,
  "gl": "us",
  "hl": "en",
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["GOOGLE_SERP"]
  }
}

Output

Each dataset row includes stable position/search context, required title/company, nullable source-backed details, normalized apply/job URLs, and the scrape timestamp.

{
  "position": 1,
  "jobTitle": "Software Engineer",
  "company": "Example Company",
  "location": "San Francisco, CA",
  "source": "Example Careers",
  "salary": null,
  "datePosted": "2 days ago",
  "jobType": "Full-time",
  "applyLink": null,
  "applyLinks": [],
  "jobUrl": "https://www.google.com/search?...",
  "searchQuery": "software engineer",
  "searchLocation": "San Francisco",
  "page": 1,
  "scrapedAt": "2026-08-31T00:00:00.000Z"
}

Google’s markup and result inventory are dynamic. Asking for 10 jobs is a cap, not a promise that Google will expose 10 matching cards.

Local verification

npm ci --ignore-scripts
npm run check
npx --no-install apify validate-schema
npx --no-install apify run --purge --input-file ./qa-inputs/proxy.json
npm run validate

After a successful run, download the job rows from the Actor Dataset tab or from the local storage/datasets/default directory. The direct fixture in qa-inputs/local.json is useful for diagnosing access boundaries; the proxy fixture is the recommended local extraction check for Google Jobs.

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