Greenhouse Jobs Scraper: pay ranges, departments, offices & application questions

Get every open job from any Greenhouse job board (boards.greenhouse.io / job-boards.greenhouse.io) with the details other scrapers leave out:

• 💰 All pay ranges. Every pay-transparency range a job publishes (e.g. per US zone or country), plus normalized salaryMin / salaryMax / salaryCurrency.
• 🏢 Departments & offices with hierarchy. "Engineering > Backend" and "EMEA > London" are both kept, so you can filter on either level.
• 🧾 Custom fields. The company's own Greenhouse metadata fields (e.g. job category, team, level) as a simple metadata object.
• 📝 Application questions (optional). Each job's application form: label, required, field type and options. Useful for application tools and research.
• 🔎 Filters. Departments, offices, title keywords (include/exclude), location text, remote-only, posted within N days.
• 🔔 "Only new jobs" mode. Schedule daily and get only fresh postings; you only pay for new jobs.
• 🌐 Paste URLs, board names or company websites. figma.com works too: the board is found automatically.

It uses Greenhouse's public Job Board API, the official feed companies use to publish their openings. No browser, proxies or logins, so runs are fast and reliable.

Input

Field	Description
boards	https://boards.greenhouse.io/airbnb, airbnb, or figma.com
departments	e.g. Engineering, Sales (partial match, includes parents)
offices	e.g. New York, EMEA, Remote (partial match, includes parents)
titleKeywords / excludeTitleKeywords	Whole-word match on job titles
locationKeywords, remoteOnly, postedWithinDays	Extra filters
includeDescription	Full description as text and HTML (default on)
includeQuestions	Application form questions (one extra request per job)
onlyNewJobs + stateKey	Output only jobs not seen in earlier runs
maxJobsPerBoard	Cap per board (0 = no limit)

{
  "boards": ["https://boards.greenhouse.io/databricks", "figma.com"],
  "departments": ["Engineering"],
  "offices": ["United States"],
  "onlyNewJobs": true
}

Output

{
  "companyName": "Databricks",
  "jobId": "8735569002",
  "title": "Delivery Solutions Architect - Communications, Media, Entertainment & Games",
  "department": "Delivery Solutions Architects",
  "departments": ["Delivery Solutions Architects", "Field Engineering"],
  "offices": ["Remote - California", "California"],
  "location": "United States",
  "isRemote": true,
  "salaryMin": 180000,
  "salaryMax": 247500,
  "salaryCurrency": "USD",
  "salaryPeriod": "YEAR",
  "salaryText": "180,000 – 247,500 USD (Local Pay Range)",
  "payRanges": [{ "title": "Local Pay Range", "min": 180000, "max": 247500, "currency": "USD" }],
  "metadata": { "Career Page Posting Category": ["Field Engineering"] },
  "internalJobId": "6492779002",
  "requisitionId": "CSQ427R309",
  "postedAt": "2026-08-21T02:29:17.000Z",
  "updatedAt": "2026-10-06T10:55:17.000Z",
  "url": "https://databricks.com/company/careers/open-positions/job?gh_jid=8735569002",
  "descriptionText": "…",
  "boardToken": "databricks"
}

With includeQuestions on, each job also has applicationQuestions and locationQuestions, e.g. { "label": "Are you legally authorized to work in the US?", "required": true, "type": "multi_value_single_select", "options": ["Yes", "No"] }.

Pricing

$1.00 per 1,000 jobs, plus a negligible $0.00005 per run. Platform usage is included.

Notes

• Salaries appear when the company publishes them, which is common for US roles because of pay-transparency laws.
• Department and office names are each company's own, so check one run's output to see the exact names.
• Need Lever, Ashby, Workday, Workable, SmartRecruiters and others too? Use Career Page Jobs Scraper by the same author.

Feedback

Questions or feature requests? Open an issue on the Issues tab. Requests are usually handled within a few days.