Greenhouse Jobs Scraper

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 it does

Thousands of companies — from startups to Stripe-scale enterprises — host their careers page on Greenhouse. This actor reads any company's public Greenhouse job board through the official board API and returns every open position as clean, normalized JSON. You give it the company's board token (the last part of boards.greenhouse.io/<token>), it gives you the full list of jobs with locations and canonical apply URLs — de-duplicated and ready for your ATS, CRM, dashboard or AI agent.

Why this one:

• Official public board API — no fragile HTML parsing, no login, no proxies
• Cross-run monitor mode: get only NEW postings on a schedule
• Multiple companies in one run (stripe,airbnb,figma)
• No LLM anywhere — deterministic output, predictable costs, no hallucinated fields
• Clean by default — canonical URLs (tracking parameters stripped), parsed numbers, merged duplicates

Quick start (no code)

1. Click Try for free / Start — every field has a working default, nothing is required.
2. (Optional) change query to what you need.
3. Open the Dataset tab when the run finishes → export as JSON, CSV or Excel.

Input

Field	Required	Default	Description
query	no	stripe	Company board token(s), comma-separated for multiple companies (e.g. stripe,airbnb). Find it in the careers page URL: boards.greenhouse.io/<token>.
maxResults	no	20	Maximum clean results (capped at 500)
enrich	no	false	Deterministic enrichment per record — see below
monitor	no	false	Compare with the previous run, flag NEW records only

Example input:

{
  "query": "stripe",
  "maxResults": 50
}

Output

Real example record (from a live run):

{
  "id": "7954688",
  "title": "Account Executive, AI Sales (Grower)",
  "url": "https://stripe.com/jobs/search?gh_jid=7954688",
  "location": "San Francisco, CA",
  "seller": "Stripe",
  "updated_at": "2026-07-22T13:25:41-04:00",
  "first_published": "2026-06-02T08:58:57-04:00",
  "completeness": 0.67
}

The final _summary row carries run totals (total_clean, deduped, enriched); in monitor mode a _changes row lists keys new since the last run.

Field reference

Field	Meaning
id	Greenhouse job ID (stable, deduplication key)
title	Job title
url	Canonical apply URL (tracking parameters stripped)
location	Job location as published by the company
seller	Company name
updated_at / first_published	ISO timestamps straight from the board
completeness	0–1 score: how many core fields are filled (with enrich)
price / price_text	Parsed numeric value + original text, when the source publishes one
completeness	0–1 filled-fields score (with enrich)

Use cases

• Recruiting intelligence — track which teams your competitors are hiring for, week over week (monitor mode).
• Job aggregators — pull hundreds of company boards into one feed with a scheduled run per company list.
• Sales signals — a company opening 20 engineering roles is a buying signal; feed change-alert into your CRM.
• Market research — measure hiring velocity by location or department across an industry.
• AI agents — let your agent answer 'is company X hiring data engineers?' with live data via MCP.

Enrichment (optional, charged only when it produces something)

Set enrich: true and every record additionally gets: e-mail addresses extracted from the description (when present), the canonical domain of the record's URL, and a completeness score (0–1, how many core fields are filled). Deterministic — the same input always yields the same output — and you are only charged for records that actually got enriched. Records where enrichment adds nothing are free.

Monitor mode — change alerts on a schedule

Set monitor: true and the actor compares the current run with the previous one (per-actor named storage) and flags only NEW records. Combine with Apify Schedules for a daily/hourly watch: the _changes summary row lists what appeared since the last run, and the change-alert event is charged per new record only — an unchanged run costs you almost nothing.

Use it from your code

Python

from apify_client import ApifyClient

client = ApifyClient("<YOUR_API_TOKEN>")
run = client.actor("EnezLi/greenhouse-jobs-scraper").call(run_input={  "query": "stripe",  "maxResults": 50 })
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 { defaultDatasetId } = await client.actor('EnezLi/greenhouse-jobs-scraper').call({  "query": "stripe",  "maxResults": 50 });
const { items } = await client.dataset(defaultDatasetId).listItems();
console.log(items);

curl

curl -X POST "https://api.apify.com/v2/acts/EnezLi~greenhouse-jobs-scraper/run-sync-get-dataset-items?token=<YOUR_API_TOKEN>" \
  -H "Content-Type: application/json" \
  -d '{  "query": "stripe",  "maxResults": 50 }'

Use it with AI agents (MCP)

This actor is agent-ready: it appears in Apify's AGENTS / MCP servers catalog, so any MCP-capable assistant (Claude, custom agents, LangGraph tools) can discover and call it with a one-line tool call — zero required fields means an agent can run it safely with defaults. Connect your agent to the Apify MCP server and ask for live data in natural language.

Pricing — Pay-Per-Event, start is free

Event	When charged
Actor start	Free ($0) — try it with one click
result	Per clean result returned
enrichment	Only per record that actually got enriched
change-alert	Monitor mode: per NEW record since the previous run

No subscription, no minimum. Volume discounts apply automatically through Apify account tiers (up to −44% on GOLD). Typical run cost example: 20 results ≈ a few cents total — you can predict your bill from the numbers above before you run.

Is this legal?

This actor collects publicly available data only — the same information any visitor sees in a browser, via public endpoints. It does not bypass logins, collect private personal data, or store credentials. You are responsible for using the output in compliance with the source site's terms and the laws that apply to you (e.g. GDPR when the output contains personal data).

Support & feedback

Found a bug, need another field, or want a variant for a related platform? Open an issue on the Issues tab — issues are monitored and answered, and frequently-requested fields get added to the standard output. The actor is maintained as part of a scraper family built on one shared, tested core (bugs fixed once are fixed everywhere).

Changelog

• 0.1 (2026-07) — initial public release: search, dedup, optional enrichment, monitor mode, PPE pricing.

Limitations (honest ones)

Data comes from Greenhouse's official public board API; if a company does not use Greenhouse (or hides its board), there is nothing to return. Full-text job descriptions are not included yet.

FAQ

How do I find a company's board token?

Open the company's careers page. If it's hosted on Greenhouse the URL looks like boards.greenhouse.io/stripe or job-boards.greenhouse.io/stripe — the last part is the token.

What happens with an unknown token?

The run finishes cleanly with zero results for that token (no crash, no charge for results) — check the token spelling.

Can I get the full job description?

The board API exposes it; the actor currently returns the structured listing fields. Open an issue if you need full descriptions — it's a planned add-on.

Do I need an API key or account on the source platform?

No. The actor uses public endpoints — you only need your Apify account.

Does it use AI / an LLM?

No. The core is fully deterministic: same input, same output, no hallucinations, no per-token costs.

Can I run it on a schedule?

Yes — use Apify Schedules; combine with monitor mode to pay only for what's new.

What's the maximum number of results?

500 per run (memory-safe cap). Run multiple queries or schedule runs for more.

How is my bill calculated?

Only from the events in the Pricing table — start is free, and there is no subscription.