Greenhouse ATS Job Scraper Pro

The most intelligent Greenhouse job scraper on Apify. Don't just extract jobs — understand them.

Every competitor gives you raw API data. This scraper gives you enriched, classified, deduplicated data with change tracking, skills extraction, salary estimation, and hiring analytics. Built for recruiters, aggregators, and HR analytics teams who need structured intelligence, not raw JSON dumps.

No API key needed. Greenhouse job board data is publicly accessible via their REST API.

What makes this different?

Feature	Other Scrapers	This Scraper
Job extraction	Yes	Yes
Skills extraction (required vs preferred)	No	500-term taxonomy
Seniority classification	No	intern to c-level
Job category standardization	No	13 categories
Work mode detection	No	remote/hybrid/onsite
Change detection between runs	No	new/updated/removed
Cross-board deduplication	No	fingerprint matching
Salary estimation for missing data	No	peer-based with confidence
Per-company hiring analytics	No	department/skill/salary breakdowns
Company discovery by name/industry	No	150+ company registry
Output profiles (full/compact/minimal)	No	3 profiles

What data do you get?

Core fields (every job)

• Job title, ID, internal job ID, requisition ID
• Company name and board token
• Location (city, state, remote, etc.)
• Departments and Offices
• Salary / pay ranges (where companies publish pay transparency data)
• Full job description (HTML + clean text)
• Application URL (direct link to apply)
• Application questions (optional)
• Last updated date

Enrichment fields (opt-in)

• seniority: intern, entry, mid, senior, staff, principal, lead, manager, director, vp, c-level
• category: engineering, design, product, marketing, sales, customer-success, operations, hr, finance, legal, data, devops, security
• workMode: remote, hybrid, onsite, unknown
• skills: { required: ["Python", "AWS"], preferred: ["Kubernetes"], yearsExperience: "5+" }
• changeStatus: new, updated, removed, unchanged
• estimatedSalary: { min, max, currency, confidence, basedOn, disclaimer }
• isDuplicate / duplicateOf: Cross-board duplicate detection

Who uses Greenhouse?

Over 7,500 companies including Airbnb, Stripe, Figma, Webflow, HubSpot, Datadog, Coinbase, Discord, Spotify, Pinterest, and thousands more. If a company's career page URL contains greenhouse.io, this scraper works.

How to use

Option 1: Board tokens (you know the companies)

{
  "boardTokens": ["webflow", "figma", "stripe", "airbnb"],
  "enableClassification": true,
  "enableSkillsExtraction": true
}

Option 2: Search by company name

{
  "companySearch": "Stripe",
  "enableClassification": true
}

Option 3: Scrape an entire industry

{
  "industryFilter": "fintech",
  "enableClassification": true,
  "enableSkillsExtraction": true,
  "includeAnalytics": true
}

Option 4: Monitor hiring changes (repeat runs)

{
  "boardTokens": ["stripe", "figma", "airbnb"],
  "enableChangeDetection": true,
  "deltaOnly": true
}

Set this on a daily schedule. On repeat runs, only new, updated, and removed jobs are returned — saving 85-95% on costs.

Output examples

Standard job record (with classification)

{
  "jobId": 127817,
  "title": "Senior Backend Engineer",
  "company": "Webflow",
  "boardToken": "webflow",
  "location": "San Francisco, CA (Hybrid)",
  "departments": ["Engineering"],
  "offices": ["San Francisco"],
  "applyUrl": "https://boards.greenhouse.io/webflow/jobs/127817",
  "updatedAt": "2026-03-28T10:55:28-05:00",
  "seniority": "senior",
  "category": "engineering",
  "workMode": "hybrid",
  "payRanges": [
    {
      "title": "Base Salary",
      "minValue": "150000",
      "maxValue": "200000",
      "currency": "USD",
      "interval": "yearly"
    }
  ],
  "descriptionText": "We are looking for a Senior Backend Engineer...",
  "scrapedAt": "2026-04-01T12:00:00.000Z",
  "source": "greenhouse"
}

With skills extraction

{
  "jobId": 127817,
  "title": "Senior Backend Engineer",
  "company": "Webflow",
  "skills": {
    "required": ["Python", "Node.js", "PostgreSQL", "AWS", "Docker", "REST API"],
    "preferred": ["Kubernetes", "GraphQL", "Terraform"],
    "allSkills": [
      { "name": "Python", "category": "language", "context": "required" },
      { "name": "Kubernetes", "category": "cloud", "context": "preferred" }
    ],
    "yearsExperience": "5+"
  }
}

Analytics summary (per company)

{
  "type": "analytics",
  "company": "Stripe",
  "boardToken": "stripe",
  "totalJobs": 495,
  "departmentBreakdown": [
    { "name": "Engineering", "count": 180 },
    { "name": "Sales", "count": 95 }
  ],
  "seniorityBreakdown": [
    { "name": "senior", "count": 210 },
    { "name": "mid", "count": 150 }
  ],
  "workModeBreakdown": [
    { "name": "onsite", "count": 300 },
    { "name": "hybrid", "count": 120 },
    { "name": "remote", "count": 75 }
  ],
  "topSkills": [
    { "name": "Python", "count": 85 },
    { "name": "SQL", "count": 72 },
    { "name": "AWS", "count": 65 }
  ],
  "salaryStats": {
    "jobsWithSalary": 120,
    "jobsWithoutSalary": 375,
    "salaryCoveragePercent": 24
  }
}

Input reference

Company Selection

Field	Type	Default	Description
boardTokens	string[]	[]	Greenhouse board tokens or full URLs
companySearch	string	""	Search 150+ company registry by name
industryFilter	string	""	Filter registry by industry (saas, fintech, ai, etc.)

Data Options

Field	Type	Default	Description
includeDescription	boolean	true	Include HTML + text job descriptions
includeQuestions	boolean	false	Include application form questions
departmentFilter	string	""	Filter by department (partial match)
locationFilter	string	""	Filter by location (partial match)
maxJobsPerCompany	integer	0	Limit per company (0 = unlimited)

Enrichment

Field	Type	Default	Description
enableClassification	boolean	true	Seniority, category, work mode
enableSkillsExtraction	boolean	false	Required/preferred skills + years
enableSalaryEstimation	boolean	false	Peer-based salary estimation

Tracking

Field	Type	Default	Description
enableChangeDetection	boolean	false	Track new/updated/removed between runs
deltaOnly	boolean	false	Only output changes (skip unchanged)
deduplicateAcrossBoards	boolean	false	Flag cross-board duplicates

Output

Field	Type	Default	Description
includeAnalytics	boolean	false	Per-company hiring analytics summary
outputProfile	enum	"full"	full / compact / minimal

Finding board tokens

Not sure what a company's board token is? Three options:

1. Use company search: Just type the company name in companySearch — we'll find it
2. Check their careers page: Look for URLs containing greenhouse.io. The token is the path after the domain: https://boards.greenhouse.io/webflow -> webflow
3. Google it: Search site:boards.greenhouse.io [company name]

Use cases

• Recruitment agencies: Monitor job openings across target companies with change detection
• Job aggregators: Feed classified, deduplicated listings into your job board
• Salary benchmarking: Collect pay range data + peer-based estimates across industries
• Competitive intelligence: Track which roles competitors are hiring, what skills they need, and how fast they're growing
• HR analytics: Analyze hiring trends with per-company analytics summaries
• AI/LLM data pipelines: Feed structured, enriched job data into RAG systems

Pricing

Pay Per Result: $2 per 1,000 jobs ($0.002 per job).

With the Apify Free plan ($5/month in credits), extract ~2,500 jobs/month free.

Cost-saving tip: Use enableChangeDetection + deltaOnly on scheduled runs. After the first full scrape, subsequent runs only return changes — cutting costs by 85-95%.

API access

curl "https://api.apify.com/v2/acts/YOUR_USERNAME~greenhouse-ats-scraper/runs" \
  -X POST \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_API_TOKEN" \
  -d '{
    "boardTokens": ["webflow", "stripe"],
    "enableClassification": true,
    "enableSkillsExtraction": true,
    "includeAnalytics": true
  }'

Related scrapers

Looking for other ATS platforms? Check out our suite:

• Lever Job Scraper (coming soon)
• Ashby Job Scraper (coming soon)

Feedback

Found a bug or have a feature request? Open an issue on the Issues tab.