Greenhouse Jobs Scraper & API - Pay Once Per Job

Greenhouse Jobs Scraper & API - Pay Once Per Job

This Greenhouse jobs scraper turns any Greenhouse careers page into clean JSON, CSV or Excel: title, department, team, location, remote flag, employment type, posting date, apply link and (optionally) the full description. Paste the careers URL, press Start, done. No login, no API keys, no proxies, no code.

Built to be complete and fair:

• Deduplicated, billed once. Duplicates inside a run are removed. Give your search a memory name and every later run returns only the jobs that appeared since; jobs you already received are skipped and never charged again. Schedule it daily or weekly and you have a change feed.
• Filters run before billing. Keywords (must contain / must not contain), locations, remote only, employment type and an exact posting-date window. You only pay for jobs that pass.
• Exact caps, fair share. Per-company and per-run caps are honored exactly (the top competitor's 3-star review is "I set maximum 500 but got 200"). When several companies share a cap, each gets a fair share and unused budget flows to the companies with more jobs.
• Honest about what you get. Every run ends with a run-summary item: jobs per board, how many were filtered or already known, exactly what was charged, and how often each field was populated.

The same engine also reads Lever, Ashby, Workable and SmartRecruiters boards, so you can mix careers pages from other ATS platforms into the same run. Sibling listings for those platforms are linked at the bottom.

30-second start

1. Under Companies / careers pages, paste one careers URL per line, for example https://boards.greenhouse.io/stripe (any of these forms work: boards.greenhouse.io/
2. Optional: tick Include full job descriptions, add keyword / location / date filters.
3. Give it a Memory name if you will run it again and only want new jobs.
4. Start. Download JSON, CSV or Excel from the Dataset tab, or read it through the API.

Nothing is charged until a job that passed your filters is delivered. Prices and worked examples are in the cost section below.

What you get from Greenhouse

Every job record has the same fields whatever the ATS. Where a platform does not publish a field you get null; the Actor never guesses. This table is the exact contract:

Field	Greenhouse	Lever	Ashby	Workable	SmartRecruiters
title, url, applyUrl, jobId	yes	yes	yes	yes	yes
departments	yes	yes	yes	yes	yes
team	no	yes	yes	yes (function)	yes (function)
location and allLocations	yes (+ offices)	yes	yes (+ secondary)	yes	one per posting
remote flag	only when the location says Remote	yes	yes	yes	yes
employmentType	no	yes	yes	yes	yes
compensation	no	when published	structured ranges	no	no
publishedAt	yes	yes	yes	yes	yes
updatedAt	yes	no	no	no	no
descriptionHtml and descriptionText	yes	yes	yes	yes	yes (one extra request per job)
companyName	yes	no (token only)	no (token only)	yes	yes

Measured fill rates from a live run at build time (share of delivered jobs where the field was populated):

Field populated	Greenhouse	Lever	Ashby	Workable	SmartRecruiters
companyName	100%	0%	0%	100%	100%
departments	100%	100%	100%	100%	76%
team	0%	100%	100%	57%	100%
location	100%	100%	100%	100%	100%
remote	8%	100%	100%	100%	100%
employmentType	0%	100%	100%	100%	100%
compensation	0%	0%	100%	0%	0%
publishedAt	100%	100%	100%	100%	100%
description	100%	100%	100%	100%	100%

Output

One item per job, plus status items when a company could not be read and one run-summary item at the end. Nested values (departments, allLocations, compensation) for developers; flat fields for spreadsheets.

Field	Meaning
provider, company, companyName	Which ATS, the board token you gave, and the company name when the platform publishes it.
jobId, url, applyUrl	Stable id (always a string) and links.
title, departments, team, location, allLocations, country	The role and where it is.
remote, workplaceType, employmentType, compensation	Work arrangement and pay, exactly as the platform publishes them (null when it does not).
publishedAt, updatedAt	ISO timestamps from the platform.
descriptionHtml, descriptionText	Full description when requested.
changeType, isDuplicate, firstSeenAt, lastSeenAt, contentHash, scrapedAt	Dedup and provenance. changeType is NEW, UPDATED or DUPLICATE.

Sample item from a live run:

{
  "type": "job",
  "provider": "greenhouse",
  "company": "stripe",
  "companyName": "Stripe",
  "jobId": "7532733",
  "title": "Account Executive, AI Sales",
  "departments": [
    "1175 Enterprise - Account Executives (NA)"
  ],
  "team": null,
  "location": "San Francisco, CA",
  "allLocations": [
    "San Francisco, CA",
    "US"
  ],
  "country": null,
  "remote": null,
  "workplaceType": null,
  "employmentType": null,
  "compensation": null,
  "publishedAt": "2026-02-03T20:19:01.000Z",
  "updatedAt": "2026-08-25T21:40:40.000Z",
  "url": "https://stripe.com/jobs/search?gh_jid=7532733",
  "applyUrl": "https://stripe.com/jobs/search?gh_jid=7532733",
  "descriptionHtml": "<h2>Who we are</h2>\n<h3>About Stripe</h3>\n<p>Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest ente...",
  "descriptionText": "Who we are\n\nAbout Stripe\n\nStripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to acce...",
  "changeType": "NEW",
  "isDuplicate": false,
  "firstSeenAt": "2026-08-31T11:22:17.996Z",
  "lastSeenAt": "2026-08-31T11:22:17.996Z",
  "contentHash": "0b4c36c4ac25360e363e35ff63e43d476c69377c",
  "scrapedAt": "2026-08-31T11:22:17.996Z"
}

The run-summary item reports per board: jobsOnBoard, matchedFilters, knownFromMemory, deliveredNew, deliveredDuplicates, withDescription, plus totals, filteredOut counts, charges, fillRates and a plain-language hint whenever a run delivers nothing.

How much does it cost to scrape Greenhouse jobs?

Pay per event, no Actor start fee, no monthly minimum. Two events are charged:

Event	Charged when	Price per 1,000	Silver (10% off)	Gold (20% off)
Job (job-result)	A new, unique job is delivered to the dataset	$1.20	$1.08	$0.96
Job description (job-description)	That job also arrives with its full description	$0.50	$0.45	$0.40

A complete record (job plus description) therefore costs $1.70 per 1,000 jobs at the base price. The Silver and Gold columns are the Apify Store subscription discounts, applied automatically to both result events; there is no start event to discount.

Worked examples at the base price: 200 new jobs across 3 companies = $0.24. The same 200 with descriptions = $0.34. A weekly re-run that finds 12 new jobs among 200 known ones = $0.014. A re-run that finds nothing new = $0.00.

Always free: duplicates across runs (under the same memory name), jobs removed by your filters, unknown companies, empty boards, status items and the run-summary.

Input reference

Input	What it does
Companies / careers pages	One entry per company: careers URL, provider:token, or bare token. Case, http/https, www. and trailing paths do not matter. EU-hosted Greenhouse and Lever boards are detected from eu. URLs. SmartRecruiters identifiers are case-sensitive.
ATS for bare company names	Which platform a plain token belongs to. Preset to Greenhouse in this listing. URLs always win.
Include full job descriptions	Adds descriptionHtml and descriptionText. SmartRecruiters needs one extra request per job for this, which is why it is priced separately.
Must contain / Must not contain / Fields to check	Case-insensitive keyword filters over title, departments, team, location and (Greenhouse, Lever, Ashby, Workable) the description text.
Locations	Substring match over the job's location, every listed office and the country, e.g. London, Remote, United States.
Remote jobs only	Keeps jobs the ATS explicitly marks remote. Greenhouse has no remote flag, so Greenhouse jobs match only when the location text says "Remote".
Employment types	Substring match over the platform's employment type, e.g. Full, Contract, Intern. Greenhouse does not publish it.
Posted within / Posted after / Posted before	Exact window on publishedAt (the date the platform reports the job was first published).
Memory name	The key that makes repeat runs return only new jobs. Stored in a named key-value store in your account (ats-jobs-memory-v2-<name>).
Also return already-known jobs	Re-sends known jobs flagged isDuplicate: true with changeType DUPLICATE or UPDATED (the posting changed since you last received it). Free.
Reset this memory first	Forgets everything under the memory name before running.
Max new jobs per company / total	Exact caps on new, charged jobs. Known duplicates do not count towards them.

Using the API

Same input as the form.

curl -X POST "https://api.apify.com/v2/acts/automation_craft~greenhouse-jobs-scraper/run-sync-get-dataset-items?token=$APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "companies": ["https://boards.greenhouse.io/stripe"],
    "includeDescription": true,
    "postedWithinDays": "30",
    "dedupMemoryName": "greenhouse-watch",
    "maxJobsTotal": 500
  }'

import { ApifyClient } from 'apify-client';
const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor('automation_craft/greenhouse-jobs-scraper').call({
  companies: ['https://boards.greenhouse.io/stripe'],
  includeKeywords: ['engineer'],
  keywordFields: ['title'],
  dedupMemoryName: 'engineering-watch',
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
const jobs = items.filter((i) => i.type === 'job');

from apify_client import ApifyClient
client = ApifyClient(os.environ["APIFY_TOKEN"])
run = client.actor("automation_craft/greenhouse-jobs-scraper").call(run_input={
    "companies": ["https://boards.greenhouse.io/stripe"], "remoteOnly": True, "maxJobsTotal": 200})
jobs = [i for i in client.dataset(run["defaultDatasetId"]).iterate_items() if i.get("type") == "job"]

Scheduling: create a Schedule in Apify (daily or weekly) with a memory name set; each run then delivers only the jobs that appeared since the previous run, and a run that finds nothing new costs nothing.

What this Actor does NOT do

• It does not scrape job boards such as LinkedIn, Indeed or Naukri. It reads company career boards hosted on Greenhouse, Lever, Ashby, Workable and SmartRecruiters.
• It does not discover companies for you. You supply the careers pages; it gets every open job they list.
• It does not return fields the platform does not publish (see the coverage table), applicant data, or anything behind a login.
• It cannot see unlisted or internal-only postings.

FAQ

Do I need a Greenhouse API key to read a job board?

No. The Actor reads the public board endpoint that a company's own Greenhouse careers page uses, so there is no key, no login and no cookie.

Where do I find a company's Greenhouse board token?

It is the last part of the careers URL, in lower case: stripe in https://boards.greenhouse.io/stripe. You can paste the full URL instead, and job-boards.greenhouse.io/<company> and EU boards on boards.eu.greenhouse.io/<company> are recognised too.

Does Greenhouse publish salary or employment type?

No. Greenhouse publishes neither, so compensation and employmentType are always null on Greenhouse jobs, and there is no remote flag either: a Greenhouse job counts as remote only when its location text says Remote.

How do I get the full job description?

Tick Include full job descriptions. Every new job then arrives with descriptionHtml and descriptionText, charged as the separate Job description event only for jobs that actually got one.

How do I see only the Greenhouse jobs posted since last week?

Set Posted within to "Last 7 days", or give an exact Posted after date. The window is applied to publishedAt before billing, so filtered-out jobs cost nothing.

Why does this Actor run with limited permissions?

Least privilege: it only needs to read public careers pages and write its own storages, so it runs with limited permissions and cannot touch the rest of your account. The cross-run memory is a named key-value store (ats-jobs-memory-v2-<name>) that the Actor creates and owns itself.

Fair use

This Actor reads the same public, unauthenticated job-board endpoints the companies' own careers pages use, at a polite request rate. It collects no personal data and never logs in. You are responsible for complying with applicable laws and the target sites' terms in your jurisdiction and use case.

Support

Something missing or wrong? Open an issue on the Actor's Issues tab. Fixes usually ship within a day.

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