# Greenhouse Jobs Scraper & API \[$1/1K]: 170K Jobs Daily (`gleanery_actors/greenhouse-jobs-scraper`) Actor

\[💰 $1 / 1K] Scrape Greenhouse jobs: search 170K open jobs from 4,400+ companies on Greenhouse by title, location, remote, salary and date, or fetch any company's Greenhouse board live by slug or URL. Indexed daily. $1 per 1,000 jobs.

- **URL**: https://apify.com/gleanery_actors/greenhouse-jobs-scraper.md
- **Developed by:** [Martin Farias](https://apify.com/gleanery_actors) (community)
- **Categories:** Jobs, Lead generation, AI
- **Features:** Limited permissions
- **Stats:** 2 total users, 1 monthly users, 0.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.00 / 1,000 job results

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## Greenhouse Jobs Scraper & API: 170K jobs from 4,400+ companies

**Greenhouse Jobs Scraper** gets open jobs from companies that use **Greenhouse** for their careers page (Stripe, Airbnb, Figma, Discord, Databricks and thousands more). Use it in two ways:

1. **Search all Greenhouse jobs at once.** Filter **170,000 open jobs from 4,400+ companies** by job title, location, remote, department, salary and posting date. You don't need a company list. The index is rebuilt **every day**.
2. **Scrape specific Greenhouse boards live.** Paste board slugs or URLs (`stripe`, `https://job-boards.greenhouse.io/airbnb`) to get every open job of those companies, straight from Greenhouse, including companies outside our index.

Output is clean JSON, CSV or Excel with the same fields in both modes, including **Greenhouse pay ranges** when you fetch descriptions.

👉 **Try it now:** keep the prefilled input (20 remote "software engineer" jobs) and click **Start**. It finishes in seconds and costs 2 cents.

### 🤖 Quick reference for AI agents

- **Actor ID:** `gleanery_actors/greenhouse-jobs-scraper`. MCP: `https://mcp.apify.com?tools=gleanery_actors/greenhouse-jobs-scraper`
- **Search mode (no company list):** `{"titleKeywords": ["data engineer"], "locationKeywords": ["london", "remote"], "maxItems": 50}`
- **Live mode (named companies):** `{"boards": ["stripe", "airbnb"], "titleKeywords": ["engineer"], "maxItems": 100}`
- **Useful inputs:** `remoteOnly`, `postedWithinDays`, `minSalary` (yearly, in the job's currency), `onlyWithSalary`, `departmentKeywords`, `excludeTitleKeywords`, `maxItems` (caps the cost; newest jobs first)
- **Output:** one item per job: `companyName`, `title`, `department`, `location`, `country`, `remote`, `salaryMin`, `salaryMax`, `salaryCurrency`, `postedAt`, `url`
- **Save context tokens:** keep `"descriptionFormat": "none"` (the default) and set `"omitEmptyFields": true`
- **Cost and speed:** $0.001 per job; 50 jobs in about 10 seconds. Only saved jobs are charged.
- **Other ATS platforms:** `gleanery_actors/ats-job-search` searches Greenhouse, Lever, Ashby, SmartRecruiters and Workable together.

### ✨ Why this Greenhouse scraper

- 🌐 **Every Greenhouse company in one query**: 4,400+ company boards, from startups to public companies, searched in seconds
- 🔗 **Any board, live**: slugs, `boards.greenhouse.io`, `job-boards.greenhouse.io`, embed (`?for=`) and EU (`.eu.greenhouse.io`) URLs all work
- 🎯 **Precise filters**: title keywords with word matching (no "AI" matching "Maintenance"), excluded words, location, remote, department, company, posting date
- 💰 **Greenhouse pay ranges**: `salaryMin`, `salaryMax`, `salaryCurrency` from Greenhouse's pay-transparency data, with a minimum-salary filter
- 📝 **Live descriptions on demand**: plain text, HTML or both. Closed jobs are dropped automatically.
- 🔁 **Incremental mode**: schedule it daily and get (and pay for) only **new jobs**, a ready job-alert feed
- 🆓 **No start fee, no subscription, no proxies**: $1 per 1,000 jobs

### 🚀 How to use it

1. To search all Greenhouse companies, enter **job title keywords** (e.g. `product manager`) and optionally **locations** or **Remote jobs only**.
2. To scrape specific companies instead, add their **Greenhouse boards** (slug or URL).
3. Optionally set **Posted within (days)**, **Minimum yearly salary**, **Department** or **Description format**.
4. Set **Max jobs to save** and click **Start**. Export as CSV, Excel or JSON, or use the API.

**Finding a company's board slug:** open its careers page and look for `greenhouse.io/<slug>` in a job link, or try the company name in lowercase (`stripe`, `airbnb`, `figma`).

### 🧾 Input examples

**Remote machine learning jobs posted this week, at any Greenhouse company:**

```json
{
  "titleKeywords": ["machine learning", "ml engineer"],
  "remoteOnly": true,
  "postedWithinDays": 7,
  "maxItems": 200
}
```

**Every open job at three companies, with descriptions and pay ranges:**

```json
{
  "boards": ["stripe", "https://job-boards.greenhouse.io/airbnb", "https://boards.greenhouse.io/embed/job_board?for=discord"],
  "descriptionFormat": "text",
  "maxItems": 2000
}
```

**Sales jobs in Germany, no senior roles:**

```json
{
  "titleKeywords": ["account executive", "sales"],
  "excludeTitleKeywords": ["senior", "director"],
  "locationKeywords": ["germany", "berlin", "munich"],
  "maxItems": 100
}
```

**Daily feed of new product manager jobs (schedule daily):**

```json
{
  "titleKeywords": ["product manager"],
  "onlyNewOrUpdated": true,
  "maxItems": 500
}
```

### 📤 Output example

```json
{
  "ats": "greenhouse",
  "companyBoard": "airbnb",
  "companyName": "Airbnb",
  "jobId": "8386083",
  "title": "Software Engineer, Profile & Community, Android",
  "department": "Software Engineering",
  "location": "Remote, USA",
  "country": "US",
  "remote": true,
  "workplaceType": "Remote",
  "salaryMin": 162000,
  "salaryMax": 186000,
  "salaryCurrency": "USD",
  "salaryInterval": "YEAR",
  "postedAt": "2026-11-13T17:46:04.000Z",
  "url": "https://careers.airbnb.com/positions/8386083?gh_jid=8386083",
  "applyUrl": "https://careers.airbnb.com/positions/8386083?gh_jid=8386083",
  "descriptionText": "Airbnb was born in 2007 when two hosts welcomed three guests to their San Franci…"
}
```

Pay ranges come with the job detail, so they appear when **Description format** is not "none". The run's **SUMMARY** record shows the mode, the index date and size, and how many jobs matched and were saved.

### 💵 Pricing

| Apify plan | Price per 1,000 jobs |
|---|---|
| All plans (Free to Diamond) | $1 |

Only saved jobs are charged: no start fee, and filtered-out or unchanged jobs are free. Apify's free plan includes $5 of monthly credit, about 5,000 jobs.

### 💡 Use cases

- **Job boards and newsletters:** backfill a niche board (remote, AI, fintech, climate) with fresh Greenhouse jobs.
- **Job alerts:** schedule a daily run with incremental mode and send new jobs to Slack, email or Google Sheets.
- **Competitor and talent intelligence:** track which teams a company is growing, and where.
- **Salary benchmarking:** collect Greenhouse pay ranges by title and location.
- **Sales signals:** find companies hiring for a role your product serves. For company-level lists, see [Hiring Signals](https://apify.com/gleanery_actors/hiring-signals).
- **AI agents and RAG:** a compact, normalized job feed for LLM tools.

### 🔌 API and integrations

**cURL:**

```bash
curl -X POST "https://api.apify.com/v2/acts/gleanery_actors~greenhouse-jobs-scraper/run-sync-get-dataset-items?token=YOUR_APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"titleKeywords":["devops engineer"],"remoteOnly":true,"maxItems":50}'
```

**Python:**

```python
from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("gleanery_actors/greenhouse-jobs-scraper").call(run_input={"boards": ["stripe", "figma"]})
for job in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(job["companyName"], job["title"], job["url"])
```

Connect it to Google Sheets, Slack, Make, Zapier or n8n through Apify integrations.

### ❓ FAQ

**Is there an official Greenhouse jobs API?**
Yes: Greenhouse's public Job Board API serves each company's board separately. This actor uses it for live mode, and adds a daily index so you can search across all companies at once, with normalized fields, filters and salary parsing.

**How fresh is the data?**
The index is rebuilt daily. Live mode and descriptions are fetched at run time, and jobs closed since indexing are dropped.

**A company isn't in the index. What can I do?**
Add its board to **Greenhouse boards** and it's read live. For companies on Lever, Ashby, Workday and other systems, use [Career Site Jobs Scraper](https://apify.com/gleanery_actors/career-site-jobs-scraper).

**Is this legal and GDPR-compliant?**
Yes. It uses the public job-board API behind the companies' own careers pages, and returns job postings only, with no personal data.

### 🧰 More from us

- [Job Search API](https://apify.com/gleanery_actors/ats-job-search): 600K jobs from Greenhouse, Lever, Ashby, SmartRecruiters and Workable in one search
- [Hiring Signals](https://apify.com/gleanery_actors/hiring-signals): companies hiring now, by role and country
- [Career Site Jobs Scraper](https://apify.com/gleanery_actors/career-site-jobs-scraper): every job from specific companies on 11 ATS platforms, including Workday
- [Wellfound Jobs Scraper](https://apify.com/gleanery_actors/wellfound-jobs-scraper): startup jobs with salary, equity and funding stage

### 💬 Support

Missing a company, or found a bug? Open an issue on the **Issues** tab. We reply within 24 hours.

# Actor input Schema

## `boards` (type: `array`):

Optional. Board slugs or URLs of specific companies, e.g. "stripe", "https://job-boards.greenhouse.io/airbnb" or "https://boards.greenhouse.io/embed/job_board?for=discord". These are read live from Greenhouse, so they work for any company, even ones outside our index. Leave empty to search all Greenhouse companies in the daily index.

## `titleKeywords` (type: `array`):

Keep jobs whose title contains any of these words or phrases (case-insensitive, matched at the start of a word: "engineer" also matches "Engineering"). Examples: "data engineer", "product manager", "account executive". Leave empty for all titles.

## `excludeTitleKeywords` (type: `array`):

Drop jobs whose title contains any of these, e.g. "senior", "intern", "manager".

## `departmentKeywords` (type: `array`):

Keep jobs whose department or team contains any of these, e.g. "engineering", "sales", "data".

## `locationKeywords` (type: `array`):

Keep jobs whose location contains any of these: city, state or country names, e.g. "london", "germany", "new york", "remote".

## `excludeLocationKeywords` (type: `array`):

Drop jobs whose location contains any of these, e.g. "india", "united states".

## `remoteOnly` (type: `boolean`):

Keep only jobs the employer marks as remote.

## `postedWithinDays` (type: `integer`):

Keep only jobs posted in the last N days. 0 = any date. When a career site doesn't publish a posting date, the date we first saw the job is used.

## `onlyWithSalary` (type: `boolean`):

Keep only jobs that publish a salary range. Greenhouse pay ranges are only available when descriptions are fetched (Description format other than "none").

## `minSalary` (type: `integer`):

Keep jobs whose maximum salary (converted to yearly) is at least this amount, in the job's own currency. 0 = no minimum. Implies jobs with a salary.

## `companies` (type: `array`):

Optional. When searching the index, keep only companies whose name contains any of these (e.g. "stripe", "figma").

## `excludeCompanies` (type: `array`):

Drop jobs from companies whose name contains any of these, e.g. staffing agencies.

## `descriptionFormat` (type: `string`):

"none" is fastest and smallest (best for AI agents and lists). "text" or "html" fetch each matched job's live description from the career site, which also confirms the job is still open and adds Greenhouse pay ranges.

## `descriptionMaxLength` (type: `integer`):

Cut plain-text descriptions to this many characters. 0 = full text.

## `omitEmptyFields` (type: `boolean`):

Leave out null and empty fields for compact output.

## `maxItems` (type: `integer`):

Stop after this many jobs. Caps your cost. Newest jobs come first.

## `onlyNewOrUpdated` (type: `boolean`):

For scheduled runs: return (and charge for) only jobs that are new or changed since the previous run with the same input.

## `stateKey` (type: `string`):

Optional name for the incremental-mode memory. Runs with the same key share it, even if their inputs differ.

## Actor input object example

```json
{
  "titleKeywords": [
    "software engineer"
  ],
  "remoteOnly": true,
  "postedWithinDays": 0,
  "onlyWithSalary": false,
  "minSalary": 0,
  "descriptionFormat": "none",
  "descriptionMaxLength": 0,
  "omitEmptyFields": false,
  "maxItems": 20,
  "onlyNewOrUpdated": false
}
```

# Actor output Schema

## `results` (type: `string`):

All scraped jobs as dataset items (JSON, CSV, Excel).

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "titleKeywords": [
        "software engineer"
    ],
    "remoteOnly": true,
    "maxItems": 20
};

// Run the Actor and wait for it to finish
const run = await client.actor("gleanery_actors/greenhouse-jobs-scraper").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "titleKeywords": ["software engineer"],
    "remoteOnly": True,
    "maxItems": 20,
}

# Run the Actor and wait for it to finish
run = client.actor("gleanery_actors/greenhouse-jobs-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "titleKeywords": [
    "software engineer"
  ],
  "remoteOnly": true,
  "maxItems": 20
}' |
apify call gleanery_actors/greenhouse-jobs-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,gleanery_actors/greenhouse-jobs-scraper"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/EtjlRBFpHud5Z80iP/builds/ZqujMH3X7LLboyPkZ/openapi.json