Google Jobs Scraper

Scrape Google for Jobs at scale with full salary data and apply links. 22 structured fields per job, multi-network apply tracking, automatic matrix expansion for large runs.

---

Highlights

• ✅ 22 fields per job including salaryMin / salaryMax / salaryCurrency / salaryPeriod
• ✅ Apply links per network (LinkedIn, Indeed, Glassdoor, Workday, Greenhouse, Lever, company ATS)
• ✅ Matrix expansion for runs > 500 jobs — automatically rotates date filters + employment types to escape Google's pagination ceiling
• ✅ Hard cost ceiling (maxCost, default $2) so runs never blow past your budget
• ✅ Brightdata Scraping Browser under the hood — no cookies, no manual auth, just results
• ✅ Self-healing: detects soft-consent redirects and Brightdata exit-IP burns, auto-reconnects for a fresh session

---

Table of Contents

• Pricing
• Coverage
• Input
• Output
• Example use cases
• Cost calculator
• FAQ
• Notes & limits

---

Pricing

Event	Price	Description
job-scraped	$0.008	Charged once per job pushed to the dataset

• $0.05 minimum charge per run (prevents tiny abandoned runs from bypassing cost)
• No actor-start fee
• You only pay for jobs we successfully extract — empty runs cost $0

---

Coverage

Google's Jobs widget is region-restricted (disabled in the EU since 2023). Supported regions:

Country code	Region
us	🇺🇸 United States
br	🇧🇷 Brazil
mx	🇲🇽 Mexico
ca	🇨🇦 Canada
gb	🇬🇧 United Kingdom
in	🇮🇳 India
au	🇦🇺 Australia
jp	🇯🇵 Japan
sg	🇸🇬 Singapore

EU countries (DE, FR, IT, ES, NL, etc.) are not supported — Google disabled the Jobs widget in the EEA after antitrust regulations.

---

Input

Required

Field	Type	Description
queries	string[]	Array of search keywords (e.g. ["software engineer", "data scientist"])

Optional

Field	Type	Default	Description
location	string	country default	City, region or full address (e.g. "San Francisco, CA")
countryCode	string	"us"	Two-letter country code
languageCode	string	"en"	Two-letter language code
maxItems	integer	500	Hard cap on total jobs scraped (min 50)
datePosted	string	—	today / 3days / week / month / all
jobType	string[]	—	["FULLTIME","PARTTIME","CONTRACTOR","INTERN"]
workFromHome	boolean	false	Filter for remote roles only
maxCost	number	2	Hard cost ceiling in USD — actor stops expanding once spent estimate reaches this
proxyConfiguration	object	RESIDENTIAL	Standard Apify proxy config

Example input

{
  "queries": ["software engineer", "data scientist"],
  "location": "San Francisco, CA",
  "countryCode": "us",
  "languageCode": "en",
  "maxItems": 500,
  "datePosted": "week",
  "jobType": ["FULLTIME"],
  "workFromHome": false,
  "maxCost": 4
}

---

Output

Each row in the dataset is one job with the schema below:

{
  "jobId": "eyJhbGciOi...",
  "title": "Senior Software Engineer",
  "companyName": "Acme Inc",
  "companyLogo": "https://encrypted-tbn0.gstatic.com/images?q=...",
  "location": "San Francisco, CA, US",
  "latitude": 37.7749,
  "longitude": -122.4194,
  "description": "We're hiring senior engineers for our infrastructure team...",
  "descriptionHtml": "<p>We're hiring senior engineers for our infrastructure team...</p>",
  "postedAt": "5 days ago",
  "postedAtIso": "2026-04-10T00:00:00.000Z",
  "jobType": "FULLTIME",
  "workFromHome": false,
  "salaryMin": 180000,
  "salaryMax": 240000,
  "salaryCurrency": "USD",
  "salaryPeriod": "YEAR",
  "benefits": ["Health insurance", "401(k)", "Stock options"],
  "qualifications": ["5+ years experience", "Go or Rust proficiency"],
  "responsibilities": ["Design distributed systems", "Mentor junior engineers"],
  "applyOptions": [
    { "network": "linkedin", "url": "https://www.linkedin.com/jobs/view/...", "directApply": false },
    { "network": "greenhouse", "url": "https://boards.greenhouse.io/acme/jobs/...", "directApply": false }
  ],
  "postedVia": "LinkedIn",
  "sourceQuery": "software engineer",
  "scrapedAt": "2026-05-24T12:00:00.000Z"
}

Field reference

Field	Type	Notes
jobId	string	Google's internal identifier (or synthesized from title|company|location for dedup)
title	string	Job title
companyName	string	Hiring company
companyLogo	string	URL of company logo image (Google CDN)
location	string	Human-readable location string
latitude, longitude	number	GPS coordinates when Google provides them
description, descriptionHtml	string	Plain text + HTML versions of job description
postedAt	string	Relative date string from Google (e.g. "5 days ago")
postedAtIso	string	ISO 8601 — parsed from postedAt
jobType	string	FULLTIME / PARTTIME / CONTRACTOR / INTERN
workFromHome	boolean	True for fully remote
salaryMin, salaryMax	number	Salary range when disclosed
salaryCurrency	string	ISO currency code
salaryPeriod	string	HOUR / MONTH / YEAR
benefits, qualifications, responsibilities	string[]	Bullet lists extracted from job posting
applyOptions	object[]	{network, url, directApply} per apply destination
postedVia	string	The job board that posted it on Google
sourceQuery	string	Which input queries[] produced this row
scrapedAt	string	ISO 8601 timestamp of extraction

---

Example use cases

Recruiter — track competitor hiring

{ "queries": ["senior backend engineer"], "location": "Austin, TX", "datePosted": "week", "maxItems": 100 }

Returns this week's senior backend roles in Austin with salary, company, and one-click apply.

Salary benchmarking — by role and city

{ "queries": ["product manager"], "location": "Seattle, WA", "datePosted": "month", "maxItems": 300, "maxCost": 3 }

Combine with simple aggregation to get median / p90 salary for PMs in Seattle this month.

Remote-only sourcing

{ "queries": ["devops engineer"], "countryCode": "us", "workFromHome": true, "maxItems": 200 }

Filter for fully remote roles across the US.

Multi-role digest for a job board

{ "queries": ["data scientist","ml engineer","data engineer"], "location": "London", "countryCode": "gb", "maxItems": 500, "maxCost": 5 }

Aggregate three related roles in one run for a daily digest.

---

Cost calculator

Jobs scraped	Cost
50	$0.40
100	$0.80
250	$2.00
500	$4.00
1,000	$8.00
2,000	$16.00

Costs are deterministic — you're charged per successfully extracted job, not per API call.

---

FAQ

Q: Why does Google Jobs scraping need Brightdata? A: Google's Jobs vertical (udm=8) ships a different consent flow than regular search and frequently rejects datacenter IPs with a "before you continue" redirect. Brightdata Scraping Browser carries the CF / consent cookies needed to render the Jobs widget.

Q: My run returned 0 jobs but succeeded — why? A: Google occasionally serves a soft-consent redirect (page title becomes the URL itself, 0 cards render). The actor detects this and (1) reloads the page, (2) reconnects to Brightdata for a fresh exit IP, retrying up to 3 times. If it still fails after that, you weren't charged for the empty run.

Q: Can I scrape EU jobs? A: No — Google disabled the Jobs vertical in the EEA in 2023 due to antitrust action. The widget simply isn't there. If you set countryCode: "de" the actor will fail gracefully.

Q: How does maxItems > 500 actually find more? A: Google caps visible results per single filter slice to ~100. To unlock more, the actor automatically expands the search matrix by iterating over datePosted (today → 3days → week → month) and jobType filters, deduplicating by jobId. Costs scale with successful extractions, not slices attempted.

Q: How fresh is the data? A: Real-time from Google's index. Jobs are typically posted to Google within hours of being added to the source job board (LinkedIn, Indeed, etc.).

Q: Can I get the full apply URL on LinkedIn / Greenhouse without a Google redirect? A: Yes — applyOptions[].url is the canonical destination URL (we decode Google's redirect wrapper).

---

Notes & limits

• EU countries are not supported (Google disabled the widget there in 2023).
• Pagination ceiling: Google caps visible results to ~100 per filter slice. maxItems > 500 triggers matrix expansion automatically.
• jobId is sourced from Google's internal identifier when available; otherwise synthesized from title|company|location for cross-run dedup.
• Apply networks detected: LinkedIn, Indeed, Glassdoor, Workday, Greenhouse, Lever, Ashby, BambooHR, plus direct company career pages.
• Empty runs ($0 charged) typically mean Google flagged the IP — re-running usually succeeds.

---

Related actors

• stepstone-scraper — Germany / DACH job board (StepStone)
• craigslist-scraper — Multi-city classified ads including gigs and jobs
• upwork-jobs-scraper — Freelance gigs on Upwork

---

If this actor saved you time, please leave a ⭐⭐⭐⭐⭐ review on the Apify Store — it helps a lot 🙏