# Greenhouse Jobs Scraper (`daedal_quintuplet/greenhouse-jobs-scraper`) Actor

Scrape every open job from any company's Greenhouse job board: title, company, locations, departments, posted date, published salary range, full description and apply link. Title, location and date filters; only-new mode.

- **URL**: https://apify.com/daedal_quintuplet/greenhouse-jobs-scraper.md
- **Developed by:** [Big Man](https://apify.com/daedal_quintuplet) (community)
- **Categories:** Jobs
- **Features:** Limited permissions
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$1.20 / 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.

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

**Greenhouse Jobs Scraper** collects every open job from any company that hires through Greenhouse. Give it a list of companies (the board name from their careers URL, such as `airbnb` in `job-boards.greenhouse.io/airbnb`, or the full URL) and get each job's **title, company, locations, departments, offices, posting and update dates, published salary range, full description (text and HTML) and apply link**.

People also look for this as a **Greenhouse API**, a **Greenhouse job board scraper**, a **Greenhouse careers page scraper**, an **ATS jobs API** or a **company job feed**. It reads Greenhouse's public job board data directly, with no browser, so a 200-job company finishes in under 10 seconds. Filters for title, location, department and posting date keep only the jobs you care about, and an only-new mode turns it into a daily job feed.

This is an independent tool. It is not affiliated with, endorsed by or sponsored by Greenhouse. It reads the public job boards that companies publish for applicants.

### What data you get

Every job is one row in the dataset. The fields below come from real test runs of the current build (23 test runs, 1,700+ jobs from 16 companies including Airbnb, Anthropic, Stripe, Discord, Coinbase, Reddit, Datadog and Cloudflare).

| Field | Type | What it holds | Example |
|---|---|---|---|
| `id` | string | Greenhouse job ID, stable across runs | `8917177002` |
| `title` | string | Job title | `Associate Commercial Counsel` |
| `organization` | string | Company name | `Discord` |
| `board` | string | Greenhouse board name the job came from | `discord` |
| `url` | string | Public job page (the company's own careers page when it has one) | `https://job-boards.greenhouse.io/discord/jobs/8917177002` |
| `apply_url` | string | Link straight to the application form | `https://job-boards.greenhouse.io/discord/jobs/8917177002#app` |
| `date_posted` | string | When the job was first published (ISO) | `2026-11-03T16:27:16.000Z` |
| `date_updated` | string | When the job was last updated (ISO) | `2026-11-03T16:31:51.000Z` |
| `locations` | array | Every location given: the job's location and its offices' full addresses | `["San Francisco Bay Area or Remote (U.S.)", "San Francisco, California, United States"]` |
| `location` | string | The location line shown on the job | `San Francisco Bay Area or Remote (U.S.)` |
| `departments` | array | Departments the job belongs to | `["Legal"]` |
| `offices` | array | Office names | `["San Francisco, CA"]` |
| `salary_min` | number or null | Lowest pay in the published range | `200000` |
| `salary_max` | number or null | Highest pay in the published range | `225000` |
| `salary_currency` | string or null | Currency of the range | `USD` |
| `salary_title` | string or null | Label the company gives the range | `Base Salary` |
| `requisition_id` | string or null | The company's internal requisition number | `R-107469` |
| `internal_job_id` | string | Greenhouse's internal job ID (shared by reposts of the same job) | `6572884002` |
| `language` | string | Language of the posting | `en` |
| `metadata` | object | Custom fields the company publishes (e.g. team, workplace type) | `{"Team": "People Success"}` |
| `description_text` | string | Full job description as plain text, with line breaks and bullets | `Discord has a highly engaged community…` |
| `description_html` | string | Full job description as HTML | `<div class="content-intro"><p>…` |
| `source` | string | Always `greenhouse` | `greenhouse` |
| `scrapedAt` | string | ISO timestamp of the scrape | `2026-11-08T23:03:33.251Z` |

**Fill rates in testing:** `id`, `title`, `organization`, `url`, `apply_url`, `date_posted`, `date_updated`, `locations`, `location`, `departments`, `offices`, `internal_job_id`, `language`, `description_text` and `description_html` were filled for 100% of jobs. `requisition_id` was filled for about 95%. The salary fields are filled when the company publishes a pay range on Greenhouse: 100% for Coinbase and Robinhood, 83% for Airbnb and Reddit, 0% for companies that don't publish pay. The actor never guesses a salary.

Field names follow the snake_case style of the most-used Greenhouse job APIs in the Apify Store (`title`, `organization`, `url`, `date_posted`, `locations`, `description_text`, `description_html`), so you can switch without rewriting your pipeline.

### How to use it

1. Find the company's Greenhouse board. Open its careers page: if job links go to `job-boards.greenhouse.io/<name>` or `boards.greenhouse.io/<name>`, the `<name>` part is the board. Many companies' own careers pages (e.g. coinbase.com/careers) are Greenhouse boards too; their job links carry `gh_jid=`.
2. Open the actor and click **Try for free** (or **Start**).
3. In **Greenhouse boards**, add one company per line: `airbnb`, or a URL like `https://job-boards.greenhouse.io/discord`.
4. Optionally add filters: **Title contains** (`engineer`), **Title excludes** (`intern`), **Location contains** (`remote`, `London`), **Department contains** (`sales`) and **Posted within (days)**.
5. Leave **Include salary range** on to get published pay ranges (one extra request per job, included in the price).
6. Click **Start**, then open the **Output** tab and export as JSON, CSV, Excel or HTML, or read the results through the API.

### Input examples

**All jobs from one company:**

```json
{
    "boards": ["discord"]
}
```

**Several companies, software roles only** (the `:*` prefix syntax used by other job APIs is accepted):

```json
{
    "boards": ["airbnb", "discord", "stripe"],
    "titleSearch": ["Soft:*"]
}
```

**Jobs in London across several companies:**

```json
{
    "boards": ["stripe", "datadog", "cloudflare"],
    "locationSearch": ["London, England, United Kingdom"]
}
```

**Engineering jobs posted in the last 7 days, no senior roles:**

```json
{
    "boards": ["anthropic", "reddit", "figma"],
    "titleSearch": ["engineer"],
    "titleExclusionSearch": ["senior", "staff"],
    "postedWithinDays": 7
}
```

**Board URLs in the `urls` format other Greenhouse scrapers use:**

```json
{
    "urls": [{ "url": "https://job-boards.greenhouse.io/airbnb" }]
}
```

### Output example

A real row from a test run (descriptions shortened here):

```json
{
  "id": "8175363",
  "title": "Acceleration Programs Intern",
  "organization": "Coinbase",
  "board": "coinbase",
  "url": "https://www.coinbase.com/careers/positions/8175363?gh_jid=8175363",
  "apply_url": "https://www.coinbase.com/careers/positions/8175363?gh_jid=8175363#app",
  "date_posted": "2026-09-08T22:53:27.000Z",
  "date_updated": "2026-10-30T14:53:15.000Z",
  "locations": ["Hybrid - New York, NY", "US - Remote Zone 1 (Job Requisitions Only)"],
  "location": "Hybrid - New York, NY",
  "departments": ["Internships & Emerging Talent Positions"],
  "offices": ["US - Remote Zone 1 (Job Requisitions Only)"],
  "salary_min": 40,
  "salary_max": 40,
  "salary_currency": "USD",
  "salary_title": "Hourly Rate:",
  "requisition_id": "P78056",
  "internal_job_id": "3538143",
  "language": "en",
  "metadata": { "Team": "People Success" },
  "description_text": "Ready to do the most impactful work of your career? At Coinbase, we are uncompromising on our mission to increase economic freedom. …",
  "description_html": "<div class=\"content-intro\"><p>Ready to do the most impactful work of your career? …",
  "source": "greenhouse",
  "scrapedAt": "2026-11-08T23:05:33.276Z"
}
```

### Use cases

- **Job boards and aggregators.** Backfill a niche job board with fresh listings straight from the companies you cover, with full descriptions and apply links.
- **Recruiting and sales intelligence.** Watch which companies are hiring for which teams; a burst of sales or engineering roles is a buying or growth signal.
- **Salary benchmarking.** Collect published pay ranges by title and location from companies that disclose them.
- **Job alerts for yourself or your community.** Run daily with only-new mode and a title filter, and send new roles to Slack, email or a Discord channel.
- **Labour-market research.** Track hiring volume, remote share and department mix across a list of companies over time.
- **AI agents.** Let an assistant answer "what data roles is Stripe hiring for in London?" by calling the actor through MCP.

### Run it on a schedule and get only new jobs

1. Save your input as a **Task** in Apify Console.
2. Open the task's **Schedules** tab and run it daily (or hourly for fast-moving boards).
3. Turn on **Only new jobs** (`"onlyNew": true`). The actor remembers every job it has returned (for 180 days, in a key-value store named `greenhouse-jobs-seen` in your account) and returns only jobs that are new since the last run, so you pay only for new ones.
4. Add an integration (Slack, Google Sheets, a webhook) so new jobs arrive where you work.

### Integrations

**API (one call, returns the jobs):**

```
POST https://api.apify.com/v2/acts/daedal_quintuplet~greenhouse-jobs-scraper/run-sync-get-dataset-items?token=YOUR_APIFY_TOKEN
Content-Type: application/json

{"boards": ["airbnb", "stripe"], "titleSearch": ["engineer"]}
```

**Python** (`pip install apify-client`):

```python
from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("daedal_quintuplet/greenhouse-jobs-scraper").call(
    run_input={"boards": ["airbnb", "stripe"], "titleSearch": ["engineer"]}
)
for job in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(job["organization"], "|", job["title"], "|", job["location"], "|", job.get("salary_min"))
```

**JavaScript / Node.js** (`npm install apify-client`):

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

const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });
const run = await client.actor('daedal_quintuplet/greenhouse-jobs-scraper').call({
    boards: ['airbnb', 'stripe'],
    titleSearch: ['engineer'],
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((job) => console.log(job.organization, '|', job.title, '|', job.url));
```

**No-code tools:**

- **n8n:** use the Apify node, choose *Run actor*, enter `daedal_quintuplet/greenhouse-jobs-scraper` and your input JSON, then read the dataset items.
- **Make:** use the Apify app's *Run an Actor* module, then *Get Dataset Items*.
- **Zapier:** use the Apify integration's *Run Actor* action, or trigger a Zap when a scheduled run finishes.
- **Google Sheets, Slack, webhooks:** connect them from the actor's **Integrations** tab in Apify Console.

**AI agents (MCP):** the actor is available through Apify's MCP server (`https://mcp.apify.com`). Add `daedal_quintuplet/greenhouse-jobs-scraper` as a tool and Claude, Cursor or any MCP client can pull jobs on request. Every input field has a plain description and an example so the agent can fill it in.

### Pricing

Pay per result: **$1.20 per 1,000 jobs** ($0.0012 per job). Error rows are free. A 200-job company costs $0.24. Platform usage and salary lookups are included in the price.

### Limits and error items

- Only companies that use Greenhouse are covered. Lever, Workday, Ashby and other applicant tracking systems are not.
- The actor returns the jobs that are open right now; closed jobs disappear from the board.
- Salary fields are empty when the company does not publish a pay range.
- Filters match text case-insensitively. A location like `New York, New York, United States` also matches on the city alone, because boards write locations differently (`New York, NY`).
- Bad input produces an **error row** instead of a crash. Examples: `{"error": true, "board": "nonexistentboardxyz123", "message": "Greenhouse board \"nonexistentboardxyz123\" was not found. …"}`, `{"error": true, "board": "discord", "message": "No jobs on \"discord\" matched your filters."}` and `{"error": true, "board": "webflow", "message": "Board \"webflow\" has no open jobs right now."}`. Error rows are never charged; filter them out with `error != true`.
- If the platform restarts a run (a host migration), the actor resumes where it stopped and does not return or charge the same jobs twice.

### FAQ

**Do I need a Greenhouse account or API key?** No. The actor reads the public job board data that companies publish for applicants.

**How do I find a company's board name?** Open any job on their careers site. If the URL contains `greenhouse.io/<name>` the board is `<name>`. If it contains `gh_jid=`, the company uses Greenhouse under its own domain; the board name is usually the company name (e.g. `coinbase`). The actor also accepts full URLs.

**Can I search all Greenhouse companies at once?** Greenhouse has no public cross-company search, so you list the companies you want. You can list hundreds in one run.

**How fresh is the data?** Live: each run reads the boards at that moment.

**Why do some jobs have two locations?** `locations` combines the location line on the job with the full address of each office it's attached to, so filters and maps work either way.

**How many jobs can I get?** Every open job on each board. `maxItems` caps the total (default 1,000, up to 100,000).

**Does it collect personal data?** No. It returns job postings only.

### Related actors

More scrapers from the same developer:

- [Google Jobs Scraper](https://apify.com/daedal_quintuplet/google-jobs-scraper): Google Jobs listings for US and UK searches with salary, description and apply links.
- [SEEK Australia Job Scraper](https://apify.com/daedal_quintuplet/seek-au-job-scraper): job listings from SEEK Australia.
- [SEEK New Zealand Job Scraper](https://apify.com/daedal_quintuplet/seek-nz-job-scraper): job listings from SEEK New Zealand.
- [Google Images Scraper](https://apify.com/daedal_quintuplet/google-images-scraper): image URLs, sizes and source pages from Google Images searches.
- [Google Trends Scraper (all widgets)](https://apify.com/daedal_quintuplet/google-trends-scraper-all-widgets): interest over time, by region, related topics and queries.

# Actor input Schema

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

Companies to scrape, one per line: the board name from the careers URL ("airbnb" in job-boards.greenhouse.io/airbnb) or the full URL. Example: \["airbnb", "https://job-boards.greenhouse.io/discord"]. (A "urls" list of {"url": ...} objects is also accepted.)

## `titleSearch` (type: `array`):

Keep only jobs whose title contains any of these words (case-insensitive). Leave empty for all jobs. Example: \["engineer", "data"].

## `titleExclusionSearch` (type: `array`):

Drop jobs whose title contains any of these words (case-insensitive). Example: \["intern", "senior"].

## `locationSearch` (type: `array`):

Keep only jobs whose location or office contains any of these words (case-insensitive). Example: \["remote", "london"].

## `departmentSearch` (type: `array`):

Keep only jobs in a department whose name contains any of these words (case-insensitive). Example: \["engineering", "sales"].

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

Keep only jobs first published in the last N days. Leave empty for any date. Example: 7.

## `includeSalary` (type: `boolean`):

Fetch the pay range the company publishes for each job (one extra request per job; empty when the company doesn't publish one). Example: true.

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

Stop after this many jobs in total across all boards. Example: 200.

## `onlyNew` (type: `boolean`):

For scheduled runs: skip jobs already returned by earlier runs (remembered for 180 days in the 'greenhouse-jobs-seen' key-value store of your account). Example: false.

## Actor input object example

```json
{
  "boards": [
    "airbnb",
    "https://job-boards.greenhouse.io/discord",
    "webflow"
  ],
  "titleSearch": [
    "engineer",
    "data"
  ],
  "titleExclusionSearch": [
    "intern"
  ],
  "locationSearch": [
    "remote",
    "london"
  ],
  "departmentSearch": [
    "engineering"
  ],
  "postedWithinDays": 7,
  "includeSalary": true,
  "maxItems": 200,
  "onlyNew": false
}
```

# Actor output Schema

## `jobs` (type: `string`):

No description

# 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 = {
    "boards": [
        "discord"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("daedal_quintuplet/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 = { "boards": ["discord"] }

# Run the Actor and wait for it to finish
run = client.actor("daedal_quintuplet/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 '{
  "boards": [
    "discord"
  ]
}' |
apify call daedal_quintuplet/greenhouse-jobs-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,daedal_quintuplet/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/LsxIYpzXT97U9nSrj/builds/N5laRbCE7JJ8BKyNh/openapi.json