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

Scrape live job listings posted on Greenhouse career pages - 160k+ jobs, straight from the source. Expired and ghost jobs filtered out. Filter by keyword, title, location, remote, salary and more.

- **URL**: https://apify.com/hirebase/greenhouse-jobs.md
- **Developed by:** [Hirebase](https://apify.com/hirebase) (community)
- **Categories:** Jobs, Automation, Developer tools
- **Stats:** 1 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $3.00 / 1,000 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/platform/actors/running/actors-in-store#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.
Actors are written with capital "A".

## 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.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## Greenhouse Jobs Scraper

Scrape **160,000+ live job listings** from companies that hire through [Greenhouse](https://www.greenhouse.io) - collected directly from their career pages, not from job-board reposts. Expired and ghost jobs are filtered out. Powered by [Hirebase](https://www.hirebase.org).

Greenhouse is the default ATS of the tech industry - from YC startups to public companies. If you source tech talent or track tech hiring, this is the single richest source.

**Why this scraper?**

- 🎯 **Every Greenhouse board in one run** - no discovering and crawling thousands of `boards.greenhouse.io` pages yourself.
- 🚫 **No expired or ghost jobs** - listings are continuously re-checked and removed when they go offline.
- 🧠 **AI-enriched fields** - parsed tech stack, salary ranges, experience level, visa sponsorship and benefits for every job.
- 🔗 **Real application links** - straight to the company's own Greenhouse board.

### What you can filter by

Keywords (e.g. `React`, `PostgreSQL`), job titles, 39 job categories, workplace type (remote/hybrid/in-person), locations with radius matching, employment type, experience level and exact years of experience, salary range with currency, posted date, company name/size/keywords, industry, visa sponsorship, dedupe of multi-location postings. The Greenhouse source filter is locked in.

### Output

```json
{
  "jobTitle": "Software Engineer, Data Infrastructure",
  "companyName": "Speechify",
  "applicationLink": "https://job-boards.greenhouse.io/speechify/jobs/5975137004",
  "datePosted": "2026-07-18",
  "locationType": "Remote",
  "jobType": "Full Time",
  "salaryRange": { "min": 30000, "max": 120000, "currency": "USD", "period": "yearly" },
  "skills": ["Python", "Docker", "Terraform"],
  "jobBoard": "greenhouse"
}
```

Each result also includes company website and logo, team, stable job/company slugs, benefits, education level, quality scores, a cleaned text description and the original HTML. Export to JSON, CSV or Excel, or pipe into Make, n8n, Zapier, Google Sheets or the Apify API.

### Pricing

Pay per result - you are only charged for jobs actually returned, up to **5,000 results per run**.

### FAQ

**Do I need an API key?**
No - API access is built into the actor. Set your filters and run.

**How is this different from scraping boards.greenhouse.io myself?**
A DIY scraper has to discover thousands of company boards, parse inconsistent job pages, and re-verify every posting for expiry. This actor returns the whole Greenhouse universe as clean, enriched JSON in one call.

**Which companies are covered?**
Over 1,000 employers actively hiring through Greenhouse, from seed-stage startups to public tech companies. New boards are picked up automatically.

**Can I monitor new Greenhouse jobs daily?**
Yes - run it on an Apify Schedule with *Posted within (days)* set to `1`, and pipe new matches to Slack, email or your ATS via integrations.

**Is this legal?**
The data comes from publicly posted job listings on company career pages, accessed via the Hirebase API.

# Actor input Schema

## `keywords` (type: `array`):

Match anywhere in job descriptions, skills, technologies, and benefits (e.g. <code>Python</code>, <code>Kubernetes</code>).

## `jobTitles` (type: `array`):

Match against parsed job titles (e.g. <code>Software Engineer</code>, <code>Product Manager</code>).

## `jobCategories` (type: `array`):

Limit results to one or more Hirebase job categories.

## `locationTypes` (type: `array`):

Remote, hybrid, or in-person roles.

## `locations` (type: `array`):

One per line, as <code>City, Region, Country</code>, <code>City, Country</code>, or just <code>City</code> (e.g. <code>Austin, Texas, United States</code>).

## `geoFilterMode` (type: `string`):

How strictly locations are matched: <code>auto</code> picks a sensible default, <code>strict</code> requires an exact area match, <code>weak</code> is more forgiving, <code>box</code> uses a bounding box. Only applies when Locations are set.

## `geoRadius` (type: `integer`):

Search radius around each location (default 25). Only applies when Locations are set.

## `geoRadiusUnit` (type: `string`):

Unit for the location radius.

## `jobTypes` (type: `array`):

Full-time, part-time, contract, or internship.

## `experienceLevels` (type: `array`):

Seniority of the role.

## `yoeMin` (type: `integer`):

Only jobs asking for at least this many years of experience.

## `yoeMax` (type: `integer`):

Only jobs asking for at most this many years of experience.

## `includeJobsWithoutYoe` (type: `boolean`):

When using a years-of-experience filter, also keep jobs that don't state a number.

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

Only jobs posted in the last N days. Leave empty for all.

## `postedOnOrAfter` (type: `string`):

Only jobs posted on or after this exact date, as <code>YYYY-MM-DD</code> (e.g. <code>2026-07-01</code>). Overrides "Posted within (days)" if both are set.

## `industries` (type: `array`):

Company industry sectors.

## `subIndustries` (type: `array`):

Narrower company sub-industry tags (e.g. <code>Fintech</code>). Note: this filter is being rolled out on the Hirebase side and may not narrow results yet.

## `companyName` (type: `string`):

Only jobs from this specific company.

## `companySlug` (type: `string`):

Exact Hirebase company slug (from a company's Hirebase URL), for precise company targeting.

## `companyKeywords` (type: `array`):

Match in company descriptions, services, and products (e.g. <code>fintech</code>, <code>healthcare AI</code>).

## `companySizes` (type: `array`):

Company headcount buckets.

## `hideRecruitingAgencies` (type: `boolean`):

Exclude postings from recruiters and staffing agencies.

## `salaryMin` (type: `integer`):

Only jobs whose salary range reaches at least this amount (annual).

## `salaryMax` (type: `integer`):

Only jobs whose salary range starts at or below this amount (annual).

## `currency` (type: `string`):

Currency for the salary filter.

## `includeJobsWithoutSalary` (type: `boolean`):

When using a salary filter, also keep jobs that don't disclose salary.

## `visaSponsorship` (type: `string`):

Filter by whether the job offers visa sponsorship.

## `fullDescriptionHtml` (type: `boolean`):

Return the complete raw HTML description from the ATS instead of the cleaned summary.

## `sortBy` (type: `string`):

Order of results.

## `sortOrder` (type: `string`):

Ascending or descending.

## `maxResults` (type: `integer`):

Maximum number of jobs to save (hard cap 5,000 per run). You are only charged for results actually returned.

## `dedupeBy` (type: `string`):

Skip duplicate postings before they are saved (and billed). <code>Company + job title</code> collapses the same role posted once per location; <code>Content hash</code> only drops byte-identical postings.

## Actor input object example

```json
{
  "keywords": [
    "React"
  ],
  "geoFilterMode": "auto",
  "geoRadiusUnit": "mi",
  "includeJobsWithoutYoe": true,
  "hideRecruitingAgencies": false,
  "currency": "USD",
  "includeJobsWithoutSalary": true,
  "visaSponsorship": "any",
  "fullDescriptionHtml": false,
  "sortBy": "date_posted",
  "sortOrder": "desc",
  "maxResults": 100,
  "dedupeBy": "none"
}
```

# Actor output Schema

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

Every job matching your filters, one dataset item per job.

# 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 = {
    "keywords": [
        "React"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("hirebase/greenhouse-jobs").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 = { "keywords": ["React"] }

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

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

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

```

## CLI example

```bash
echo '{
  "keywords": [
    "React"
  ]
}' |
apify call hirebase/greenhouse-jobs --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=hirebase/greenhouse-jobs",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/tyRDe2M11bCarl7ak/builds/l2xFwtn8VUExBDVI8/openapi.json