💼 Google Jobs Scraper & Hiring Signal Monitor: Salaries, Direct ATS Apply Links & Multi-Board Job API

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📖 Overview

Google Jobs (Google for Jobs) is the world's largest real-time meta-aggregator of employment listings. Instead of scraping dozens of separate job boards and applicant tracking systems (ATS) one by one, a single Google Jobs query captures live postings indexed from LinkedIn, Indeed, Glassdoor, ZipRecruiter, Monster, Built In, Wellfound, Greenhouse, Workday, Lever, Ashby, SmartRecruiters, iCIMS, and direct company career portals across 80+ countries.

However, extracting structured job data from Google Jobs at scale has historically been a major challenge for engineering and recruiting teams:

• Legacy scrapers fail with 0 results due to Google's modern verification checks or only return the first 10 results without working pagination.
• Broken or missing company logos (returning 1×1 transparent pixels or generic gray building icons instead of the real employer logo URL).
• Unparsed compensation badges ("$165K–$210K a year", "$45–$60 an hour") that require complex regex normalizers before loading into SQL, Clay, or Excel.
• Aggregator redirect traps instead of direct ATS application URLs (Greenhouse, Workday, Lever).
• High per-request API fees ($15–$25 per 1,000 jobs on SerpApi) that charge you even when a search returns zero jobs.

Google Jobs Scraper by UnitBytes eliminates every one of these bottlenecks. It streams paginated Google Jobs results in seconds (~30 jobs in under 10 seconds) with transparent Pay-Per-Event billing (from $0.004/job, and $0.00 for empty searches or duplicates) — delivering clean, spreadsheet-ready and AI-ready job intelligence into Excel, CSV, Google Sheets, Clay, n8n, Make, or your database with zero login or cookie setup required.

⚡ UnitBytes · Google Search, Jobs, Trends & Local Business Intelligence Ecosystem
💼 Google Jobs Scraper 📍 You are here Multi-board jobs, parsed salaries, logos & direct ATS links	📈 Google Trends Scraper Search Demand & Keywords 5 real-time endpoints, viral curves & geo breakdowns	📍 Google Maps Tracker Reputation Audit Detect deleted, removed & edited reviews
🗺️ Google Maps Contributors Reviewer Profiles Reverse lookup Local Guide badges & full review histories	📸 Google Maps Photos High-Res Media Original =s0 storefront images & view counts	💬 Reddit Scraper Community Sentiment Subreddit discussions, keyword mentions & trends
📦 UnitBytes · Global Marketplaces, Classifieds & B2B Sourcing Ecosystem
🇨🇳 1688 Factory Direct China Wholesale & FBA Direct factory prices, SKU matrices & Amazon FBA specs	📸 1688 Reverse Image Search ✨ Photo-to-Factory Upload any product photo or URL to find the exact 1688 factory	🌐 Alibaba Wholesale Global B2B & MOQ Verified suppliers, inspection audits & tiered pricing
🛍️ FB Marketplace Bypass 1k Limit 40+ data fields, vehicles, real estate & local listings	🚗 OfferUp Scraper Local Deals & Items Bargain finding from $0.80 per run	📋 Craigslist Scraper Worldwide Leads All cities, subareas, categories & lead contacts

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🌟 Why Recruiting, RevOps & Data Teams Choose UnitBytes

Capability / Metric	UnitBytes Google Jobs Scraper	SerpApi (Google Jobs API)	Other Store Scrapers
⚡ Extraction Speed (30 Jobs)	~8–10 Seconds (Multi-Page)	⚠️ Requires sequential paginated calls	❌ Slow (60–180s browser overhead) or broken (0 jobs)
💰 Price per 1,000 Jobs	From $4.00 ($0.004/job)	$15.00 – $25.00 per 1K (~$0.015–$0.025/page)	$10.00 – $30.00 per 1K + high compute fees
🔄 True Deep Pagination	✅ Full Multi-Page Cursor Pagination (Up to ~185/query)	✅ Supported (10 jobs per paid request)	❌ Many stop at Page 1 (10 jobs) or fake queries
🖼️ Company Logos (companyLogo)	✅ 100% Working gstatic.com Image URLs	⚠️ Often missing or raw thumbnails	❌ Broken data:image base64 icons or 1×1 GIFs
💵 Parsed Salary Numbers	✅ Numeric salaryMin, salaryMax, salaryCurrency, salaryInterval	❌ Raw text snippet only	⚠️ Unparsed strings
📋 Structured Highlights	✅ Separate qualifications, responsibilities, benefits arrays	⚠️ Nested raw arrays	❌ Merged into unstructured text
🔗 Direct Employer Apply Links	✅ Prioritized ATS (directApplyUrl) + full applyOptions	⚠️ Google redirect URLs	⚠️ Single link or broken redirects
🧮 Multi-Query × Location Batching	✅ Built-in Cartesian Batching + jobId Deduplication	❌ Requires custom loop & dedup code	❌ Single search per run
🛡️ Empty Search & Duplicate Billing	✅ $0.00 (Free — Pay Only for Unique Jobs)	❌ Charged per API call even on 0 results	❌ Charged for browser startup & compute time
📊 Export Formats	Excel (.xlsx), CSV, Google Sheets, JSON, Clay, n8n	JSON only	JSON / CSV

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💰 Transparent Pay-Per-Event Pricing (From $4.00 / 1,000 Jobs)

This Actor uses Pay-Per-Event (PPE) billing with automatic plan-based volume discounts so you only pay for unique, verified job listings delivered to your dataset — never for empty searches, duplicate listings, or pagination overhead.

Apify Plan Tier	Event Name	Price per Job	Price per 1,000 Jobs	Volume Discount
Free Plan (FREE)	job-scraped	$0.0100	$10.00 / 1,000 jobs	Base rate (500 jobs/mo free with $5 credit)
Starter Plan (BRONZE)	job-scraped	$0.0050	$5.00 / 1,000 jobs	50% OFF
Scale Plan (SILVER)	job-scraped	$0.0045	$4.50 / 1,000 jobs	55% OFF
Business & Enterprise (GOLD+)	job-scraped	$0.0040	$4.00 / 1,000 jobs	60% OFF
Actor Run Start	apify-actor-start	$0.00005	$0.05 / 1,000 runs	Minimal one-time startup event per GB RAM
Empty Searches / Duplicates	—	$0.00	$0.00 (Free)	Zero charge on 0 results or deduplicated jobs

🎁 Apify Free Tier Included (500 Jobs / Month Free): Every Apify account receives $5.00 in free monthly platform usage credits, which covers 500 unique Google Jobs listings every month at $0.00 cost on the Free Plan (or up to 1,000–1,250 jobs per $5 on paid plans).

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✨ Key Features

• ⚡ Lightning-Fast Multi-Page Extraction: Collect 30+ full job postings across multiple pages in ~8–10 seconds with minimal memory footprint.
• 🌐 One Scraper for Every Major Job Board & ATS: Simultaneously capture listings indexed from LinkedIn, Indeed, Glassdoor, ZipRecruiter, Monster, Built In, Wellfound, Greenhouse, Workday, Lever, Ashby, SmartRecruiters, and corporate career portals across 80+ countries.
• 🖼️ Verified Public Company Logos (companyLogo): Automatically resolves deferred employer logos to clean, public https://encrypted-tbn0.gstatic.com/... URLs and filters out generic placeholder icons so your job board UI, Airtable, or Clay table looks crisp.
• 💵 Normalized Compensation Intelligence: Parses raw salary badges ("$160K–$210K a year", "$45–$60 an hour", "£65,000–£85,000 a year") into numeric salaryMin, salaryMax, ISO salaryCurrency (USD, EUR, GBP, CAD, AUD), and standardized salaryInterval (YEAR, HOUR, MONTH, WEEK, DAY).
• 📋 Complete Descriptions & Structured Highlights: Extracts the full, untruncated plain-text job description alongside structured bullet arrays for qualifications, responsibilities, and benefits.
• 🔗 Direct Employer & ATS Application Links: Captures every portal link in applyOptions and automatically prioritizes direct ATS/employer URLs (directApplyUrl — e.g., boards.greenhouse.io, myworkdayjobs.com, jobs.lever.co) ahead of third-party aggregators.
• 🎯 Precision Native Filters: Filter server-side by datePosted (today, 3days, week, month), employmentTypes (FULLTIME, PARTTIME, CONTRACTOR, INTERN), remoteOnly (true/false), and 80+ country markets (country).
• 🧠 Cross-Search Deduplication Engine: Batch dozens of queries and locations in a single run — overlapping jobs are automatically deduplicated by Google's unique jobId so you never pay twice for the same posting.

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💡 Practical Business Use Cases

1. 🎯 B2B Sales Intent & Hiring Signal Lead Generation (Clay / Apollo / Outbound)

When a company posts a job for a "Snowflake Data Engineer", "HubSpot Administrator", "SOC 2 Compliance Manager", or "VP of Sales", they are publicly broadcasting their tech stack, budget approval, and immediate pain points. Feed daily Google Jobs postings directly into Clay, n8n, or Make to trigger high-converting outbound campaigns within hours of a job going live.

2. 🌐 Niche & Vertical Job Board Aggregation

Power specialized job boards (AI & Machine Learning Jobs, Remote FinTech Careers, Climate Tech Jobs, Healthcare Staffing, Web3 Engineering) with fresh daily job listings, verified employer logos, structured bullet highlights, and direct ATS application links.

3. 📊 Real-Time Compensation & Salary Benchmarking

Analyze live salaryMin, salaryMax, salaryCurrency, and salaryInterval distributions across US states, European tech hubs, seniority tiers, and remote vs. on-site arrangements for HR compensation studies and market intelligence.

4. 🤖 AI Recruiting Co-Pilots & Automated Candidate Matching

Connect this Actor via MCP, LangChain, CrewAI, or n8n to automatically discover newly posted roles (datePosted: "today"), score job qualifications against candidate resumes, and deliver tailored application packages.

5. 🏢 Competitor Headcount & Expansion Tracking

Monitor competitor company names in queries to track which departments, regional offices, and R&D initiatives your competitors are actively scaling.

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🚨 24/7 Hiring Signal & Job Alert Watchdog (Automated Daily Schedules)

Turn manual job searching into an automated 24/7 hiring intelligence pipeline running on a background schedule.

⏰ Ready-to-Use Scheduled Automation Templates

Objective	Frequency / Cron	Target Input	Automated Action / Destination
🔥 Daily B2B Buying Intent Radar	Daily at 07:00 AM UTC 0 7 * * *	queries: ["Snowflake Engineer", "HubSpot Admin", "Datadog"], datePosted: "today"	Auto-enriches hiring companies in Clay / HubSpot / Apollo and alerts sales reps in Slack.
🌐 Automated Niche Job Board Sync	Every 6 hours 0 */6 * * *	queries: ["AI Engineer", "LLM Engineer", "MLOps"], remoteOnly: true, datePosted: "today"	Appends new verified jobs with logos & ATS links to Airtable / Supabase / Webflow CMS.
💼 Executive & Competitor Hiring Watch	Every Monday at 08:00 AM UTC 0 8 * * 1	queries: ["VP of Engineering", "Head of AI"], locations: ["San Francisco, CA", "New York, NY"], datePosted: "week"	Delivers weekly executive hiring digest to Google Sheets or email.

🚀 How to Set Up an Automated Daily Schedule in 3 Clicks (No Coding Required)

1. Step 1: Save Your Search Input as a Task
   • Open Google Jobs Scraper on Apify Console.
   • Enter your target queries, locations, and set datePosted: "today", then click Save as task (top right).
2. Step 2: Add a Schedule
   • In the left sidebar of the Apify Console, go to Schedules ➔ click Create schedule.
   • Select your saved Google Jobs Task and pick your schedule (e.g., Daily at 7:00 AM or 0 7 * * *).
3. Step 3: Connect to Google Sheets, Clay, n8n, Make, or Slack
   • In your Task settings, navigate to the Integrations tab:
     • Google Sheets: Automatically append newly posted jobs, salaries, and apply links daily.
     • Webhook (Clay / n8n / Make / Zapier / Slack): Trigger an instant workflow as soon as the run finishes (RUN.SUCCEEDED).

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🔗 No-Code Integrations: Clay, n8n, Make, Zapier & Google Sheets

Destination	Integration Method	Use Case
Clay.com	Apify Actor Integration / Webhook	Enrich hiring companies with decision-maker emails and trigger automated outbound sequences based on tech-stack job postings.
n8n / Make / Zapier	Apify Node / RUN.SUCCEEDED Webhook	Filter jobs by salaryMin >= 150000, summarize with OpenAI/Claude, and post instant alerts to Slack or Discord.
Google Sheets	Apify Google Sheets Integration	Maintain a live, collaborative spreadsheet of open roles, salary benchmarks, and direct ATS links.
Airtable / Webflow / Supabase	Webhook / REST API	Auto-publish fresh daily roles to your niche job board with working companyLogo URLs and directApplyUrl buttons.

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🔓 How to Bypass Google's ~185-Job Per-Search Cap (Collect 1,000–5,000+ Jobs)

Google Jobs enforces a hard upstream server-side limit of ~150 to 190 jobs for any single query + location search stream. No scraper or API can retrieve beyond ~185 listings for a single query because Google Jobs caps each individual search feed at that depth.

To collect 500, 1,000, or 5,000+ unique jobs in a single run, use this Actor's built-in Multi-Query × Multi-Location Batching and Time-Window Slicing. The scraper automatically iterates through every combination and deduplicates overlapping results by jobId so you never pay twice for the same job:

Strategy 1: Expand Role Synonyms & Seniority Levels (queries)

Split a broad role into specific job title variations, tech stacks, or seniority tiers:

{
  "queries": [
    "Software Engineer",
    "Senior Software Engineer",
    "Backend Developer",
    "Full Stack Engineer",
    "Python Developer",
    "Go Engineer",
    "Platform Engineer",
    "Distributed Systems Engineer"
  ],
  "locations": ["United States"],
  "country": "us",
  "maxJobs": 1200
}

(8 queries × ~180 jobs/query = up to 1,440 unique jobs in one run)

Strategy 2: Slice by Metro Area or State (locations)

Instead of searching an entire country with one location string, pass major hiring hubs in locations:

{
  "queries": ["Data Scientist", "Machine Learning Engineer"],
  "locations": [
    "New York, NY",
    "San Francisco, CA",
    "Seattle, WA",
    "Austin, TX",
    "Boston, MA",
    "Chicago, IL",
    "Los Angeles, CA",
    "Remote"
  ],
  "country": "us",
  "maxJobs": 2000
}

(2 queries × 8 locations = 16 search streams = up to 2,800+ unique jobs in one run)

Strategy 3: High-Frequency Daily Delta Runs (datePosted: "today")

For continuous job board ingestion or recruiting alerts, schedule the Actor to run daily with "datePosted": "today" (or every 3 days with "datePosted": "3days"). Because daily volume per city/role stays well below the ~185-job ceiling, you capture 100% of newly published jobs with zero pagination truncation.

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🛠️ How to Use via API (Python, Node.js & cURL)

You can trigger runs directly in the Apify Console or integrate programmatically into your Python, Node.js, or cURL pipeline.

🐍 Python Example

$pip install apify-client

from apify_client import ApifyClient

# Initialize the client with your Apify API token
client = ApifyClient("YOUR_APIFY_API_TOKEN")

# Configure search parameters
run_input = {
    "queries": ["Software Engineer", "Backend Engineer"],
    "locations": ["New York, NY", "San Francisco, CA"],
    "country": "us",
    "datePosted": "week",
    "employmentTypes": ["FULLTIME"],
    "remoteOnly": False,
    "maxJobs": 100,
}

# Run the Actor and wait for completion
print("🚀 Launching Google Jobs Scraper...")
run = client.actor("unitbytes/google-jobs-scraper").call(run_input=run_input)

# Fetch scraped job postings from the dataset
dataset_items = client.dataset(run["defaultDatasetId"]).list_items().items
print(f"✅ Successfully extracted {len(dataset_items)} unique jobs from Google Jobs!")

for job in dataset_items[:3]:
    print(f"\nTitle: {job.get('title')} at {job.get('company')}")
    print(f"Location: {job.get('location')} ({job.get('workplaceType')})")
    print(f"Salary: {job.get('salary') or 'Unlisted'} (Min: {job.get('salaryMin')}, Max: {job.get('salaryMax')} {job.get('salaryCurrency')})")
    print(f"Logo: {job.get('companyLogo')}")
    print(f"Direct Apply URL: {job.get('directApplyUrl')}")

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🟨 JavaScript / Node.js Example

$npm install apify-client

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({
    token: 'YOUR_APIFY_API_TOKEN',
});

const runInput = {
    queries: ['DevOps Engineer', 'Site Reliability Engineer'],
    locations: ['Remote'],
    country: 'us',
    datePosted: '3days',
    remoteOnly: true,
    maxJobs: 100,
};

console.log('🚀 Starting Google Jobs Scraper...');
const run = await client.actor('unitbytes/google-jobs-scraper').call(runInput);

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(`✅ Extracted ${items.length} unique jobs!`);

items.slice(0, 3).forEach((job) => {
    console.log(`• ${job.title} at ${job.company} (${job.salary || 'N/A'}) — ${job.directApplyUrl}`);
});

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🌐 cURL Example

curl -X POST "https://api.apify.com/v2/acts/unitbytes~google-jobs-scraper/runs?token=YOUR_APIFY_API_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "queries": ["Product Manager"],
    "locations": ["New York, NY"],
    "country": "us",
    "datePosted": "week",
    "maxJobs": 50
  }'

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📤 Sample Output Data & Complete Schema

Each item in the output dataset is a flat, structured JSON object containing all 29 extracted job attributes ready for immediate use in databases, spreadsheets, or AI agents.

Realistic JSON Output Example

{
  "jobId": "gjobs_fplVD6NzqcGb_8U",
  "title": "Senior Backend Software Engineer",
  "company": "Stripe",
  "companyLogo": "https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcR9_stripe_logo&s",
  "location": "New York, NY",
  "via": "via Greenhouse",
  "description": "Stripe is looking for a Senior Backend Software Engineer to help design, build, and scale our global financial infrastructure...",
  "postedAt": "1 day ago",
  "postedDate": "2026-10-18",
  "employmentType": "Full-time",
  "workplaceType": "Hybrid",
  "degreeRequirement": "Bachelor's degree",
  "salary": "$175K–$235K a year",
  "salaryMin": 175000.0,
  "salaryMax": 235000.0,
  "salaryCurrency": "USD",
  "salaryInterval": "YEAR",
  "isRemote": false,
  "benefits": [
    "Health insurance",
    "Dental insurance",
    "Vision insurance",
    "401(k) matching",
    "Paid time off"
  ],
  "qualifications": [
    "5+ years of production backend engineering experience in Java, Go, Ruby, or Python",
    "Experience designing distributed systems with strict reliability and latency requirements",
    "BS/MS in Computer Science or equivalent practical experience"
  ],
  "responsibilities": [
    "Design, build, and maintain core payment APIs serving millions of businesses globally",
    "Collaborate across product and infrastructure teams to improve latency and uptime",
    "Mentor junior engineers and lead architectural reviews"
  ],
  "extensions": [
    "1 day ago",
    "$175K–$235K a year",
    "Full-time",
    "Hybrid"
  ],
  "applyUrl": "https://boards.greenhouse.io/stripe/jobs/6192837",
  "directApplyUrl": "https://boards.greenhouse.io/stripe/jobs/6192837",
  "applyOptions": [
    {
      "title": "Apply on Greenhouse",
      "link": "https://boards.greenhouse.io/stripe/jobs/6192837"
    },
    {
      "title": "Apply on LinkedIn",
      "link": "https://www.linkedin.com/jobs/view/senior-backend-software-engineer-at-stripe-398172635"
    }
  ],
  "googleJobsUrl": "https://www.google.com/search?q=Software+Engineer+New+York,+NY&ibp=htl;jobs",
  "searchQuery": "Software Engineer",
  "searchLocation": "New York, NY",
  "country": "us",
  "scrapedAt": "2026-10-19T12:00:00+00:00"
}

Complete Output Fields Reference

Field	Type	Description
jobId	string	Unique Google Jobs posting identifier used for cross-search deduplication.
title	string	Job posting title (e.g., "Senior Backend Software Engineer").
company	string	Hiring employer / company name (e.g., "Stripe").
companyLogo	string | null	Public https://encrypted-tbn0.gstatic.com/... URL to the employer's logo image, if available.
location	string	Job location string as listed on Google Jobs (e.g., "New York, NY", "Anywhere").
via	string	Source job board or ATS where the listing was indexed from (e.g., "via Greenhouse", "via LinkedIn", "via Indeed").
postedAt	string	Relative publication timestamp reported by Google (e.g., "13 hours ago", "2 days ago").
postedDate	string | null	Normalized ISO 8601 publication date (YYYY-MM-DD, e.g., "2026-10-18").
employmentType	string | null	Schedule / contract classification ("Full-time", "Part-time", "Contractor", "Internship").
workplaceType	string	Workplace arrangement classification ("Remote", "Hybrid", or "On-site").
isRemote	boolean	Work-from-home boolean flag (true if remote/telecommute, otherwise false).
degreeRequirement	string | null	Extracted education or degree requirement badge, if specified (e.g., "Bachelor's degree").
salary	string | null	Raw formatted compensation text (e.g., "$175K–$235K a year", "$45–$60 an hour").
salaryMin	number | null	Parsed minimum numeric salary value (e.g., 175000.0).
salaryMax	number | null	Parsed maximum numeric salary value (e.g., 235000.0).
salaryCurrency	string | null	ISO currency code parsed from the salary string (e.g., "USD", "EUR", "GBP", "CAD").
salaryInterval	string | null	Compensation period ("YEAR", "MONTH", "WEEK", "DAY", "HOUR").
description	string	Complete, untruncated plain-text job description.
qualifications	array (string)	Bullet list of required skills, experience, and qualifications extracted from Google Jobs highlights.
responsibilities	array (string)	Bullet list of core role duties and day-to-day responsibilities.
benefits	array (string)	Extracted compensation perks and benefits (e.g., "Health insurance", "401(k)", "Paid time off").
extensions	array (string)	Raw metadata badges displayed on the Google Jobs card (posting age, salary badge, schedule, workplace type).
applyUrl	string | null	Primary application URL for the job listing.
directApplyUrl	string | null	Best direct employer career page or ATS link (Greenhouse, Workday, Lever, Ashby, etc.), prioritized over third-party aggregators.
applyOptions	array (object)	Complete list of all available application portals ([{"title": "Apply on ...", "link": "https://..."}]).
googleJobsUrl	string	Direct shareable URL to open the specific job inside the Google Jobs viewer.
searchQuery	string	Exact search query from queries that discovered this job.
searchLocation	string	Exact location string from locations that discovered this job.
country	string	Two-letter ISO country code used for the search ("us", "gb", "de", etc.).
scrapedAt	string	UTC ISO 8601 timestamp indicating when the job listing was extracted.

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⚙️ Input Parameters Reference

Parameter	Type	Default	Description
queries	array	["Software Engineer"]	Job titles, roles, skills, or company keywords to search for (e.g., ["Software Engineer", "Data Scientist", "Account Executive"]). Supports multi-query batching in a single run with automatic cross-search deduplication.
locations	array	["New York, NY"]	Cities, states, regions, or "Remote" to search within (e.g., ["New York, NY", "San Francisco, CA", "London", "Berlin"]). Runs every queries × locations combination.
country	string	"us"	Two-letter ISO country code for Google Jobs localization (us, gb, ca, de, nl, fr, es, it, in, sg, ae, sa, br, mx, za, etc.). Common aliases like "USA" or "UK" are auto-normalized.
language	string	""	Optional interface language code (en, de, es, fr). Recommended: leave empty so Google uses the native language of the selected country for maximum local listing coverage.
datePosted	string	"any"	Filter listings by publication recency: "any" (any time), "today" (past 24 hours), "3days" (past 3 days), "week" (past 7 days), or "month" (past 30 days).
employmentTypes	array	[]	Filter by schedule type. Accepted values: "FULLTIME", "PARTTIME", "CONTRACTOR", "INTERN". Leave empty to include all schedule types.
remoteOnly	boolean	false	When true, restricts results strictly to remote / work-from-home positions.
maxJobs	integer	50	Maximum number of unique job listings to collect across the entire run (1 – 5000). Scraping stops immediately once this budget cap is reached.
resolveApplyLinks	boolean	false	When true, resolves redirect links to their final destination employer or ATS URL (Greenhouse, Workday, Lever, LinkedIn, Indeed).

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📋 Copy-and-Paste Directive for AI Coding Assistants (Cursor, Windsurf & Claude Code)

Give this direct prompt instruction to your AI assistant:

"Use the unitbytes/google-jobs-scraper Actor on Apify to extract Google Jobs listings, parsed salaries (salaryMin, salaryMax), company logos, qualifications, and direct ATS apply links (directApplyUrl). Example call: client.actor('unitbytes/google-jobs-scraper').call(run_input={'queries': ['Software Engineer'], 'locations': ['New York, NY'], 'country': 'us', 'maxJobs': 50})"

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🔌 MCP Server Setup: Claude Code, Cursor & AI Agents

Connect this scraper directly to Claude Code, Claude Desktop, Cursor, or any MCP-compatible AI agent via the hosted Apify MCP server:

{
  "mcpServers": {
    "apify": {
      "type": "http",
      "url": "https://mcp.apify.com/?tools=actors,docs,unitbytes/google-jobs-scraper"
    }
  }
}

No manual API token required in configuration if your client supports Apify OAuth sign-in. Alternatively, pass your Apify API Token in the authorization header.

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🤖 Ask an AI Assistant About This Scraper

Open a ready-to-run prompt about Google Jobs Scraper in your favorite AI assistant:

• 💬 ChatGPT
• 🧠 Claude
• 🔍 Perplexity

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🌐 The Complete UnitBytes Scraping Portfolio

Power your entire data intelligence stack with UnitBytes production-grade scrapers — engineered for maximum speed, 99.9% uptime, and the best value on the Apify Store:

📍 Google Search, Jobs, Maps & Trends Intelligence

Actor	Purpose & Superpowers	Pricing
Google Jobs Scraper	Multi-board job postings (LinkedIn, Indeed, Glassdoor, Greenhouse, Workday), parsed salaries, logos & direct apply links	From $0.004 / job
Google Trends Scraper	All-in-one search demand, viral keywords, related queries & geographic breakdowns across 5 endpoints	Pay-Per-Event
Google Trends API	Programmatic search curves, real-time interest spikes & multi-year historical trend data	Pay-Per-Event
Google Maps Reviews Tracker	Monitor reputation changes: detect deleted, removed, or edited customer reviews	Pay-Per-Event
Google Maps Photos Scraper	High-resolution visual storefront audits & Local Guide photo feeds	Pay-Per-Event
Google Maps Reviewer Profile Scraper	Contributor credibility audit, reviewer badges & full review histories	Pay-Per-Event

🇨🇳 Chinese E-Commerce, Sourcing & Social Commerce

Actor	Purpose & Superpowers	Pricing
1688 Factory Direct Scraper	Direct manufacturer sourcing, true factory prices, full SKU matrices & Amazon FBA packaging specs	From $0.0015 / item
1688 Reverse Image Search (Photo-to-Factory)	Visual product search (以图搜款 / 拍立淘): upload any product photo or URL to find the exact 1688 factory	From $0.0015 / item
Alibaba Wholesale Scraper	Global B2B product catalog, MOQ brackets, volume tiers & verified factory audit reports	From $0.0015 / item
Taobao & Tmall Scraper	China's premier consumer marketplace, retail trends, flagship brand stores & pricing	Pay-Per-Event
RedNote / Xiaohongshu Search & Trends	China's Instagram/Pinterest: viral lifestyle trends, consumer search intent & watermark-free HD media	Pay-Per-Event
RedNote / Xiaohongshu Creators & Posts	Influencer portfolios, KOL engagement metrics, bio contact info & viral note feeds	Pay-Per-Event
RedNote / Xiaohongshu Comments Scraper	Authentic buyer feedback, customer sentiment, product reviews & full reply threads	Pay-Per-Event
Goofish / Xianyu Products & Deals	Alibaba's C2C resale market: liquidation deals, secondhand arbitrage & price comparisons	Pay-Per-Event
Goofish / Xianyu Sellers & Reputation	Merchant due diligence, Zhima credit ratings, transaction histories & buyer feedback	Pay-Per-Event

🏷️ Global Classifieds, Resale & Community Intelligence

Actor	Purpose & Superpowers	Pricing
Facebook Marketplace Scraper	Bypass the 1,000-item limit. Extract cars, real estate, electronics & 40+ structured attributes	Ultra-fast & cheap
OfferUp Scraper	Local pickup deals, nationwide shipping listings, vehicle specs & seller profiles	From $0.80 / run
Craigslist Worldwide Scraper	Worldwide cities, subareas, categories, direct contact leads & localized postings	From $0.50 / run
Reddit Posts & Search Scraper	Subreddit discussions, keyword mentions, sentiment analysis & viral thread discovery	From $0.50 / run

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❓ Frequently Asked Questions (FAQ)

Do I need a Google account, proxies, or cookies to use this scraper?

No. The Actor works out of the box with zero configuration, zero login accounts, and zero external proxy setup required.

Why did a single query stop around 150–190 jobs?

Google Jobs enforces a server-side ceiling of ~150–190 listings per individual query + location stream. When any single search reaches Google's ceiling before your maxJobs cap, the Actor's terminal status message clearly reports which search stream was exhausted. To collect 500 to 5,000+ jobs in a single run, pass multiple role variations in queries or multiple cities in locations (see How to Bypass Google's ~185-Job Per-Search Cap).

How does cross-search deduplication work?

When you batch multiple queries and locations, overlapping listings are automatically deduplicated in memory using Google's unique jobId. Each unique job is pushed to your dataset only once and billed only once.

Why should I leave language empty for non-English countries?

In markets like Germany (de), the Netherlands (nl), France (fr), or Spain (es), forcing language: "en" causes Google Search to filter out local-language job postings. Leaving language empty ("") lets Google serve full localized results for the target country.

What happens if my search matches 0 jobs or my budget cap is reached?

If a query returns zero matching jobs, the run finishes cleanly with exit code 0 and $0.00 in job-scraped charges. If your Apify run spending limit (maxTotalChargeUsd) or maxJobs limit is reached mid-run, the Actor immediately halts pagination and saves all charged jobs cleanly.

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⭐ Love This Scraper? Support Us with a 5-Star Review!

We work tirelessly to keep Google Jobs Scraper the fastest, most accurate, and best-value job intelligence tool on Apify.

• ⚡ Automated your B2B hiring intent pipeline in Clay or n8n?
• 🚀 Saved hundreds of dollars switching from expensive legacy SERP APIs?
• 💎 Loving the clean parsed salaries, working gstatic.com company logos, and direct ATS apply links?

Please take 10 seconds to click the ⭐ Reviews tab at the top of the Apify Store page and leave a 5-star rating! Your feedback helps us ship more features, keep prices low, and maintain sub-10-second scraping speeds.

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⚖️ Legal, Privacy & Compliance

This Actor extracts publicly available job postings indexed by Google Jobs. It does not access private user accounts, candidate profiles, resumes, or personally identifiable information (PII). All data is collected strictly from public employer job advertisements in compliance with GDPR and CCPA data minimization principles. Users are responsible for complying with applicable local laws and terms of service when using extracted job data.

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🔍 Keywords & Search Tags

google-jobs-scraper • google-for-jobs-api • google-jobs-api • scrape-google-jobs • job-board-scraper • linkedin-jobs-alternative • indeed-scraper-alternative • glassdoor-jobs-scraper • ziprecruiter-scraper • greenhouse-jobs-scraper • workday-jobs-scraper • lever-jobs-scraper • ashby-jobs-scraper • b2b-hiring-signals • clay-hiring-intent • salary-benchmarking-api • recruitment-automation • ats-job-aggregator • remote-jobs-scraper • apify-actor

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💬 Support & Custom Recruiting Pipelines

Need custom job feeds, ATS enrichment pipelines, or high-volume enterprise crawls?

• 💬 Apify Issues: Open a ticket in the Apify Issues Tab
• 📧 Direct Email: contact@unitbytes.com
• 🌐 Publisher Homepage: https://unitbytes.com