Greenhouse Jobs Dataset — Global, Daily, Source-Verified

What does this Greenhouse jobs dataset do?

Greenhouse is the ATS of the world's tech companies — startups, scale-ups, and the names you know. This Actor reads every public Greenhouse board directly, every day, and gives you the postings as clean, structured rows. When a posting leaves the board, it closes here too: the dataset never lies about what is open.

Filter Greenhouse job postings by what matters:

• 🌍 Country — 240+ countries and territories
• 🎯 Seniority & workplace — intern to head, remote / hybrid / on site
• 🔎 Keyword — free text in title and description
• 🗓️ Posted-after date — only what is fresh

Every field carries field-level provenance: the row says where each value came from, so you can audit what you buy.

Not a scraper — a maintained index

Scrape-on-demand actors ask you for career-site URLs and minutes of your patience, then hand you raw rows. This dataset asks for nothing but filters — the reading already happened today, whether you run us or not.

	Scrape-on-demand	Nivult Dataset API
You supply	URLs you must know	nothing — just filters
Answer in	minutes	seconds
Closed postings	stay forever	verified closed, daily
Enrichment	raw title + link	seniority, workplace, language, skills
Provenance	none	field-level, on every row

How to use it

1. Open the Actor and set your filters — or none, for the full Greenhouse slice.
2. Run it, then download JSON, CSV or Excel — or read the dataset through the Apify API.
3. For the whole Greenhouse universe every morning, ask about the daily feed (link on this page).

How much does a Greenhouse jobs dataset cost?

$3 per 1,000 rows received — nothing for empty filters, nothing upfront. Apify's free plan covers your first hundreds of rows.

Why a row here costs more than a raw scrape: a raw row is a title and a link that may be dead by tonight. Ours is an enriched, verified record — classified, provenance-stamped, and closed out of the index the day it leaves the source. You are not paying for a scrape; you are paying for the maintenance.

What does the output look like?

A real row, read the same day from a live Greenhouse board:

{
  "title": "Summer Internship 2027",
  "company": "Hankooktireamericacorp",
  "ats": "greenhouse",
  "country": "US",
  "remote": "onsite",
  "seniority": "intern",
  "language": "en",
  "technologies": ["MS-Office"],
  "salary_estimate_median": 52300,
  "salary_estimate_currency": "USD",
  "salary_is_estimate": true,
  "posted_at": "2026-10-06",
  "url": "https://job-boards.greenhouse.io/hankooktireamericacorp/jobs/5445258008"
}

Explore the Nivult family

• Job Postings Dataset — the full index — every ATS, every filter, company mode
• Workday Jobs Dataset — every Workday career site, daily
• Greenhouse Jobs Dataset — every Greenhouse board, daily
• Jobs by Technology — postings matched by the stack in the text

FAQ

Is this the official Greenhouse API? No — and it doesn't need Greenhouse credentials. We read the public boards that companies publish for candidates, politely and within their terms.

How fresh is the data? The Greenhouse slice refreshes every day; new postings land within 24 hours of appearing on the board.

Do you cover other ATS platforms? Yes — Workday, Lever, SmartRecruiters, SuccessFactors and dozens more. The full index (all platforms, all filters) has its own Actor; niche datasets like this one exist for the platforms people ask for most.

Is this legal? We read public postings on the employer's own board, respect robots directives and rate limits, and honor removal requests.