Disclosure: this post is about our own tool —
Greenhouse Jobs Scraperis a paid actor we publish on Apify Store. It was drafted by our automated publishing pipeline with AI assistance and reviewed before publishing.
Scrape any company's Greenhouse job board and get clean, de-duplicated job JSON: title, location, department and canonical apply URLs. One click, no required fields, no LLM.
What comes back
Every record has the same shape: id, title, url, price, price_text, rating, reviews, location, seller, description.
Fields with no value are left out rather than filled with placeholders, and records are de-duplicated before they reach the dataset.
Input
| Input | Type | What it does |
|---|---|---|
query |
string | Greenhouse board token of the company, comma-separated for multiple (e.g |
maxResults |
integer | Maximum number of clean results to return (capped at 500) |
enrich |
boolean | Adds deterministic enrichment per record: extracted emails, canonical domain and a completeness score |
monitor |
boolean | Compares this run with the previous one and flags NEW records only |
Running it
Start it from the Apify Console, call it over the REST API, or expose it to an agent as an MCP tool — the dataset is the same either way.
Priced per event (not per hour or subscription) on Greenhouse Jobs Scraper on Apify Store.
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