Greenhouse Jobs Scraper & Salary API

Greenhouse Jobs Scraper turns any company's Greenhouse job board into clean, structured data: one consistent JSON record per open position, with pay ranges where they exist. Use it as a Greenhouse jobs API for job aggregators, recruiting and sales-intelligence tools, hiring-signal tracking and labour-market research.

It reads the public data behind Greenhouse career pages, so it is fast and stable: no browser, no proxies, no blocked requests.

Not affiliated with, endorsed by or sponsored by Greenhouse. "Greenhouse" is used only to describe which public job boards this Actor reads.

What is it good for?

• Job boards and aggregators: fill your board straight from company career pages.
• Recruiting and talent teams: see which competitors are hiring for which roles, and where.
• Sales and RevOps: hiring is a buying signal, so list the companies hiring for the roles your product serves.
• Analysts and researchers: build salary benchmarks and labour-market trends from the pay ranges employers publish.

Try it in 30 seconds

1. Press Start: the input is prefilled with real examples.
2. Open the Output tab and download JSON, CSV or Excel.
3. Replace the examples with your own and run again. You pay about $1.50 per 1,000 jobs.

A taste of the output

Company	Title	Location	Pay
Reddit	3rd Party Partnerships Manager - Signals	New York City, NY	$189,000 to $264,600

The full record has more fields; see the example output further down.

What does Greenhouse Jobs Scraper do?

Give it Greenhouse career-page links or company names and it returns every open position as JSON, CSV or Excel, or through the API. Filter by job-title keywords, location, department, employment type, remote only or posting date, and schedule it to receive only newly posted jobs.

What data can I scrape from Greenhouse job boards?

• title
• department(s)
• location(s)
• posting date and last-update date
• full description
• requisition id and language

Every record uses the same fields across platforms, so you can combine this data with other job sources.

Example output

One record per job:

{
  "id": "greenhouse:reddit:8089959",
  "ats": "greenhouse",
  "companySlug": "reddit",
  "companyName": "Reddit",
  "title": "3rd Party Partnerships Manager - Signals",
  "department": "Global Ads Partnerships",
  "departments": [
    "Global Ads Partnerships"
  ],
  "team": null,
  "location": "New York City, NY",
  "locations": [
    "New York City, NY"
  ],
  "country": null,
  "workplaceType": null,
  "isRemote": null,
  "employmentType": null,
  "postedAt": "2026-07-29T06:19:34Z",
  "updatedAt": "2026-10-04T00:08:52Z",
  "url": "https://job-boards.greenhouse.io/reddit/jobs/8089959",
  "applyUrl": "https://job-boards.greenhouse.io/reddit/jobs/8089959",
  "salary": {
    "min": 189000.0,
    "max": 264600.0,
    "currency": "USD",
    "interval": "year",
    "summary": "$189,000—$264,600",
    "source": "description-text"
  },
  "description": "Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic convers...",
  "requisitionId": "R-105731",
  "language": "en"
}

Field	Description
title, companyName, url, applyUrl	Basics. companyName is taken from the platform where it is published, otherwise derived from the board name
department, departments, team	Department or team as published
location, locations, country	Primary location, all locations, and country where the platform provides it
workplaceType	remote, hybrid or onsite when the platform provides it
isRemote	true if the role is remote, or lists a remote option among its locations
employmentType	full_time, part_time, contract, internship, temporary or other (original in employmentTypeRaw)
postedAt, updatedAt	ISO 8601 UTC
salary	min, max, currency, interval (year, hour, ...), summary and source
description, descriptionHtml	Full job description as text and/or HTML
id, ats, companySlug, matchedBy	Stable unique id, source platform, board name, and whether you gave an exact link (explicit) or a name we matched (slug-probe)

How is salary data handled?

• Greenhouse has no pay field, so salary is extracted from the job text when the employer states a range (salary.source = "description-text"). In our checks on large US employers about half of the ads carried a range.
• We only return a value when a currency, a range and a pay-related keyword are all present, and we leave it empty instead of guessing.
• Values are exactly what the employer published. If a yearly range looks like it was typed without the "K" (for example 230 to 350), the record carries "suspect": true.

How do I scrape Greenhouse jobs?

1. Add companies, one per line. Any of these work:

   • https://boards.greenhouse.io/stripe
   • https://job-boards.greenhouse.io/anthropic
   • greenhouse:databricks
   • Short form: greenhouse:stripe

   A plain company name or website (for example stripe.com) is also accepted: the Actor guesses the board name.

2. Optionally filter by job title keywords, location, department, employment type, remote only or posting date.

3. Run it, then download the data as JSON, CSV or Excel, or read it through the API.

How do I find a company's Greenhouse board name?

Open the company's careers page. If its address contains boards.greenhouse.io/<name> or job-boards.greenhouse.io/<name> (or the page embeds a Greenhouse job board), <name> is the board name.

Example input

{
  "companies": [
    "https://boards.greenhouse.io/stripe",
    "https://job-boards.greenhouse.io/anthropic"
  ],
  "keywords": [
    "engineer",
    "data"
  ],
  "locations": [
    "United States",
    "Remote"
  ],
  "postedWithinDays": 14,
  "maxJobsTotal": 500
}

How do I get only new Greenhouse jobs?

Turn on Only jobs not returned before and schedule the Actor (hourly, daily, ...). The first run returns everything and saves a baseline; every later run returns only openings that were not returned before for the same company list.

How much does it cost to scrape Greenhouse jobs?

You pay per job returned: $0.0015 per job, about $1.50 per 1,000 jobs, plus a tiny fixed fee per run. Apify bills the platform usage of the run (compute) on top, which is normally a small fraction of the per-job price. Max jobs in total is a hard cap on the cost of a run, and the run also stops if it reaches the maximum charge you set in the run options. The Pricing tab always shows the current rate.

Can I use Greenhouse Jobs Scraper through the API?

Yes. Like every Apify Actor it can be started from code, scheduled in the Apify Console, or connected to Make, Zapier, n8n, Google Sheets and webhooks through Apify integrations.

Python

from apify_client import ApifyClient

client = ApifyClient("<YOUR_API_TOKEN>")
run_input = {
    "companies": [
        "https://boards.greenhouse.io/reddit",
        "https://boards.greenhouse.io/figma"
    ],
    "keywords": [
        "engineer"
    ],
    "maxJobsTotal": 25
}
run = client.actor("cyborg_cell/greenhouse-jobs-scraper").call(run_input=run_input)
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

JavaScript

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: '<YOUR_API_TOKEN>' });
const input = {
  "companies": [
    "https://boards.greenhouse.io/reddit",
    "https://boards.greenhouse.io/figma"
  ],
  "keywords": [
    "engineer"
  ],
  "maxJobsTotal": 25
};
const run = await client.actor('cyborg_cell/greenhouse-jobs-scraper').call(input);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

cURL

curl -X POST "https://api.apify.com/v2/acts/cyborg_cell~greenhouse-jobs-scraper/run-sync-get-dataset-items?token=<YOUR_API_TOKEN>" \
  -H "Content-Type: application/json" \
  -d '{"companies": ["https://boards.greenhouse.io/reddit", "https://boards.greenhouse.io/figma"], "keywords": ["engineer"], "maxJobsTotal": 25}'

FAQ

Is it legal to scrape Greenhouse job boards?

This Actor reads only the public job-postings data that Greenhouse career pages publish so that employers can show their own openings. It does not log in to anything, bypass any protection or collect candidate or other personal data, and it sends modest, rate-limited requests. Laws and website terms differ by country and by use, so you are responsible for how you use the data. This is not legal advice.

Do I need proxies or a browser?

No. The data comes from public endpoints, so there is nothing to unblock and no browser to run.

Which companies does it work for?

Companies whose careers page runs on Greenhouse. Companies on other platforms are not covered; if you need several platforms in one run, use the ATS Job Scraper (Greenhouse, Lever, Ashby, Workday and four more platforms).

What is not available on Greenhouse?

Greenhouse does not publish employment type, workplace type or country, so those fields are empty. Pay ranges are only available when the employer writes them into the job text; the Actor extracts them from the text when they are there. isRemote is true when the role is remote or lists a remote option among its locations.

A company should work but does not. What now?

Open an issue on the Actor page with the company link and we will look at it.

Other Actors by the same author

• ATS Job Scraper (Greenhouse, Lever, Ashby, Workday and four more platforms): all eight platforms in one run.
• More single-platform scrapers: Lever Jobs Scraper, Ashby Jobs Scraper, Workday Jobs Scraper, SmartRecruiters Jobs Scraper, Workable Jobs Scraper, Recruitee Jobs Scraper.
• Remote Jobs Scraper (RemoteOK, Himalayas, Jobicy, Arbeitnow): one feed from four remote job boards.
• Also by the same author: Email Validator, Website Screenshot API & URL to PDF Converter, YouTube Transcript Scraper.