Greenhouse Job Scraper — Salary, Remote Detection, Multi-Company

Scrape job listings from any Greenhouse job board with enriched data — parsed salary, remote/hybrid detection, location splitting, and company metadata. Supports multiple companies in a single run. Just paste the URL.

Why this Greenhouse scraper?

Greenhouse powers job boards for thousands of companies — Stripe, Airbnb, Coinbase, DoorDash, and more. This actor gives you the richest, most structured Greenhouse data available:

• Paste any URL — no need to guess the company slug. Paste boards.greenhouse.io/stripe or job-boards.greenhouse.io/airbnb and it just works.
• Multi-company — scrape 10 companies in one run. Just add multiple URLs.
• Salary extraction — automatically parses salary ranges from job descriptions ($, EUR, GBP, and more).
• Remote detection — identifies remote and hybrid jobs from location, title, and company metadata.
• 20+ fields per job — title, department, locations array, salary, remote status, employment type, metadata, dates, and more.
• $2.00 per 1,000 jobs — pay only for what you extract.
• Instant — pure API, no browser. Sub-second per company.

What data can you extract?

Each job listing includes 20+ data fields:

Field	Description
title	Job title
company	Company name (from Greenhouse, not guessed)
companySlug	Greenhouse company identifier
location	Raw location string
locations	Parsed array of individual locations
isRemote	Whether the job is remote
isHybrid	Whether the job is hybrid
department	Department name(s)
office	Office location(s)
employmentType	Full-time, Part-time, Contract, Intern, etc.
salary	Parsed salary: {min, max, currency, raw}
description	Full HTML job description
url	Direct link to job posting
applyUrl	Application URL
publishedAt	When the job was first published
updatedAt	When the job was last updated
requisitionId	Internal requisition ID
jobId	Greenhouse job ID
metadata	Company-specific fields (workplace type, comp range, etc.)

How much does it cost?

Pay-per-event pricing — you only pay for what you extract:

• $2.00 per 1,000 jobs ($0.002 per job)

What you extract	Jobs	Cost
All open roles at a startup (50 jobs)	50	$0.10
Engineering jobs at Stripe	200	$0.40
All jobs at a large company (2,000 jobs)	2,000	$4.00
10 companies in one run	5,000	$10.00

Input

Field	Type	Description	Default
urls	string[]	Greenhouse board URLs or slugs. Paste full URLs or just the company name.	—
companySlug	string	Single company slug (legacy — use urls instead)	—
department	string	Filter by department (partial match, case-insensitive)	—
location	string	Filter by location (partial match, case-insensitive)	—
keyword	string	Filter by job title keyword (partial match, case-insensitive)	—
remoteOnly	boolean	Only return remote jobs	false
daysBack	integer	Only return jobs updated in the last N days	All
includeDescription	boolean	Include full HTML job description	true
maxResults	integer	Max jobs to return across all companies	No limit

Example inputs

Single company (paste the URL):

{
    "urls": ["https://job-boards.greenhouse.io/stripe"]
}

Multiple companies:

{
    "urls": [
        "https://boards.greenhouse.io/airbnb",
        "https://job-boards.greenhouse.io/gusto",
        "stripe"
    ]
}

Remote engineering jobs from the last week:

{
    "urls": ["stripe", "airbnb", "gusto"],
    "department": "Engineering",
    "remoteOnly": true,
    "daysBack": 7
}

Legacy input (still works):

{
    "companySlug": "stripe"
}

Output

Each job is a flat JSON object with 20+ fields:

{
    "title": "Senior Software Engineer, Infrastructure",
    "company": "Stripe",
    "companySlug": "stripe",
    "location": "US-SF, US-NYC, US-SEA",
    "locations": ["US-SF", "US-NYC", "US-SEA"],
    "isRemote": false,
    "isHybrid": false,
    "department": "Engineering",
    "office": "San Francisco",
    "employmentType": "Full-time",
    "salary": {
        "min": 180000,
        "max": 250000,
        "currency": "USD",
        "raw": "$180,000 - $250,000"
    },
    "description": "<div>...</div>",
    "url": "https://job-boards.greenhouse.io/stripe/jobs/1234567",
    "applyUrl": "https://job-boards.greenhouse.io/stripe/jobs/1234567",
    "publishedAt": "2026-03-15T18:00:00-04:00",
    "updatedAt": "2026-04-10T12:00:00-04:00",
    "requisitionId": "REQ-1234",
    "jobId": 1234567,
    "metadata": {
        "Workplace_Type": "Hybrid"
    }
}

Use cases

• Job market research: Track open positions across companies to identify hiring trends
• Competitive intelligence: Monitor competitor hiring and team structure
• Recruiting & sourcing: Build a database of open roles filtered by remote/salary/department
• Investment research: Track headcount growth at portfolio companies
• Job board aggregation: Feed Greenhouse listings into your own job board
• HR analytics: Analyze salary ranges, remote policies, and department distribution
• Sales prospecting: Find companies actively hiring for roles that need your product

Data source

All data comes from the Greenhouse Board API — the official public API that powers Greenhouse job boards.

• API: boards-api.greenhouse.io/v1/boards/{slug}/jobs
• Coverage: Any company using Greenhouse (thousands of companies)
• Update frequency: Real-time
• No login required: Public API, no API key needed

Tips

• Paste URLs: Don't know the slug? Just paste the full URL from the company's Greenhouse page.
• Multi-company: Add multiple URLs to scrape several companies in one run — saves time and compute.
• Salary data: Not all companies include salary in their job descriptions. The salary field will be null when no salary is found.
• Remote detection: Checks location, title, and company metadata (e.g., Airbnb's "Workplace Type" field).
• Metadata: Some companies expose extra fields like comp range, workplace type, or experience level. These appear in the metadata object.