# Greenhouse Job Scraper — AI & ML Companies (`bovi/greenhouse-job-scraper-ai-companies`) Actor

Scrape job postings from Greenhouse-powered career pages at AI-native companies — Anthropic, Scale AI, Databricks — via the public boards API. Returns title, location, department, seniority, remote-type, and parse\_confidence. Zero auth, zero proxy, zero browser.

- **URL**: https://apify.com/bovi/greenhouse-job-scraper-ai-companies.md
- **Developed by:** [Vitalii Bondarev](https://apify.com/bovi) (community)
- **Categories:** Jobs, Lead generation, MCP servers
- **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.16 / 1,000 greenhouse job scraper — ai & ml companies

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?

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 Job Scraper — AI & ML Companies

For AI-talent recruiters, industry trackers, and comp-research pipelines who need Greenhouse job data at scale from AI/ML-native companies — scraping Anthropic, Scale AI, Databricks, and more in one run.

**Pay per result — $1.50 / 1,000 jobs. First jobs free on the Apify free plan.**

Scrape job postings from **any Greenhouse-powered company board** via the
official public API. Give it a list of company slugs — get back clean, enriched
job data in seconds. **No API key. No login. No proxy. No browser. Runs in Apify cloud.**

Get started instantly: use the pre-filled AI-native examples (anthropic, scaleai, databricks) or swap in any other Greenhouse company slug. **Try it free** — Apify's $5/month free tier covers thousands of jobs.

### What this Greenhouse scraper does

- Fetches every open job from any company that uses **Greenhouse ATS**, using
  the official public endpoint.
- Returns a **clean flat schema** — identical fields every run, no parsing
  surprises.
- Enriches each job with **seniority** (intern / entry / mid / senior / lead /
  staff / principal / manager / director / vp / executive) inferred from the
  job title.
- Detects **remote type** (remote / hybrid) from location text.
- Returns full **job descriptions** as both plain text and HTML (togglable).
- Includes a **parse\_confidence score** (0–1.0) and `warnings` list in every
  record — you see exactly how clean the data is.
- Supports **multi-company batch runs** (scrape 100 companies in one run).
- Filters by **title keyword, location keyword, or remote-only**.
- **maxJobsPerCompany** cap (default 50) prevents surprise bills on first runs.

### How to find a Greenhouse slug

Look at the company's careers page URL:

- `job-boards.greenhouse.io/anthropic` → slug is `anthropic`
- `job-boards.greenhouse.io/scaleai` → slug is `scaleai`
- `boards.greenhouse.io/databricks` → slug is `databricks`

Many top AI and tech companies use Greenhouse to power their job boards.

### What data you get

One flat row per job — 15 structured fields:

```json
{
  "title": "Member of Technical Staff",
  "company": "anthropic",
  "location": "San Francisco, CA",
  "remote_type": null,
  "seniority": "mid",
  "salary": null,
  "department": "Engineering",
  "employment_type": null,
  "posted_at": "2026-05-20T16:58:18-04:00",
  "url": "https://anthropic.com/jobs/search?gh_jid=1234567",
  "apply_url": "https://anthropic.com/jobs/search?gh_jid=1234567",
  "job_id": "1234567",
  "global_id": "greenhouse:anthropic:1234567",
  "description_text": "Anthropic is looking for a Member of Technical Staff...",
  "description_html": "<p>Anthropic is looking for...</p>",
  "parse_confidence": 1.0,
  "warnings": [],
  "scraped_at": "2026-05-31T12:00:00+00:00"
}
```

**Field notes:**

- `salary` and `employment_type` are `null` — the Greenhouse public boards API
  does not expose these fields. For salary data, the company must publish it
  voluntarily in the description.
- `parse_confidence` is `1.0` for a fully-populated job; small deductions for
  missing optional fields. Check `warnings` for the reason codes.
- `global_id` format: `greenhouse:{slug}:{job_id}` — stable identifier for
  deduplication across runs.

### Input schema

| Field | Type | Default | Description |
|---|---|---|---|
| `companies` | string array | \[anthropic, scaleai, databricks] | Greenhouse company slugs to scrape |
| `titleKeyword` | string | — | Case-insensitive title filter |
| `locationKeyword` | string | — | Case-insensitive location filter |
| `remoteOnly` | boolean | false | Return only remote jobs |
| `maxJobsPerCompany` | integer | 50 | Cap per company (0 = unlimited) |
| `includeDescriptions` | boolean | true | Include description\_text + description\_html |

### Pricing

Pay-per-result: **$1.50 / 1,000 jobs** ($0.0015 each). You pay only for jobs returned.

**Worked example:** 3 companies × 50 jobs = 150 results = **$0.23**. 10 companies × 200 jobs = 2,000 results = **$3.00**.

### FAQ

**Do I need an API key or proxy?**
No. The Greenhouse API endpoints used are publicly accessible — no auth, no proxy, no browser.

**What output formats are available?**
JSON, JSONL, CSV, and Excel via the Apify dataset export, plus the Apify REST API.

**Can I run it on a schedule?**
Yes — use Apify Scheduler. Combine with your own dedup on `global_id` (`greenhouse:<slug>:<job_id>`) to track only new postings.

**What if a company slug is wrong or returns 0 jobs?**
The actor logs a warning, records the slug in `failedCompanies`, and continues scraping other targets — it never crashes on a single bad slug.

### Reliability

The Greenhouse boards API is a stable, officially public endpoint with no
authentication, no rate limiting, and no HTML parsing. This actor uses zero
browser, zero proxy — just direct HTTP to an official JSON API. Parse
confidence is consistently 1.0 on well-populated boards.

Typical run: 500 jobs for one company in under 5 seconds.

### Use cases

- **Hiring intelligence** — track AI headcount growth, new research departments, and modeling roles.
- **Job aggregation** — build a searchable careers board for AI and ML companies.
- **AI agent input** — feed job data to an LLM agent for matching, summarizing
  or alerting.
- **Lead generation** — identify AI companies actively hiring in specific functions.
- **Competitive analysis** — monitor competitor hiring signals in real time.

### Alternatives and comparison

Several Greenhouse scrapers exist on Apify Store. This one differentiates by:

| Feature | This scraper | greenhouse-job-scraper (epctex) | i-scraper |
|---|---|---|---|
| `parse_confidence` score | Yes | No | No |
| Seniority enrichment | Yes (11 levels) | No | Partial |
| Remote type detection | Yes | Rarely | Rarely |
| Multi-company batch | Yes | Limited | Yes |
| Descriptions (text + HTML) | Yes | Some | Some |
| `global_id` for dedup | Yes | No | No |
| Price | $1.50/1k | varies | $1.90/1k |

`parse_confidence` (0.0–1.0) and `warnings` are in every record — deductions for missing job\_id (0.15), title (0.15), url (0.10), posted\_at (0.05), description (0.05). Your pipeline sees data quality signals before it sees broken output.

### Use with AI agents (MCP)

This actor is MCP-compatible. Use it as a data source in n8n, Make, or any LLM agent pipeline.

```
https://mcp.apify.com/?tools=bovi/greenhouse-job-scraper-ai-companies
```

The `global_id` field (`greenhouse:<slug>:<job_id>`) is a stable cross-run key. Feed this actor's output directly to vector databases, job-matching LLMs, or n8n/Make workflows. Use with the flagship [Greenhouse, Lever & Ashby Jobs API](https://apify.com/bovi/greenhouse-lever-ashby-job-scraper) to cover all ATS platforms in one pipeline.

### Integrations

Built for hiring-intel and labor-market analysts tracking open roles across Greenhouse-powered companies at scale — the JSON/dataset output drops into the tools you already run, no glue code:

- **n8n / Make / Zapier** — trigger a run or pipe every new dataset item into 500+ apps (Google Sheets, Airtable, Slack, HubSpot, your database) with no code: [n8n](https://docs.apify.com/platform/integrations/n8n), [Make](https://docs.apify.com/platform/integrations/make), [Zapier](https://docs.apify.com/platform/integrations/zapier).
- **Webhooks** — fire your own endpoint the moment a run finishes, to push results straight into your pipeline ([docs](https://docs.apify.com/platform/integrations/webhooks)).
- **MCP server** — expose this actor as a tool to Claude, Cursor, or any [MCP client](https://mcp.apify.com) so an AI agent can pull this data mid-conversation ([guide](https://blog.apify.com/how-to-use-mcp/)).
- **API & SDKs** — fetch the dataset as JSON, CSV, or Excel through the Apify REST API or the Python / JS SDKs.

See all [Apify integrations](https://apify.com/integrations).

### Not affiliated with Greenhouse

This actor uses the public Greenhouse Boards API, which is freely accessible
to anyone. It is not affiliated with, endorsed by, or partnered with Greenhouse
or its parent company Cornerstone OnDemand.

### More scrapers from our toolkit

Building a data pipeline? These actors pair well with this one — each runs on your own Apify account with the same pay-per-result pricing, no subscription:

- [Greenhouse, Lever & Ashby Job Scraper](https://apify.com/bovi/greenhouse-lever-ashby-job-scraper)
- [Jobstreet Jobs Scraper](https://apify.com/bovi/jobstreet-jobs-scraper)
- [Lever Job Scraper](https://apify.com/bovi/lever-job-scraper)
- [Naukri Jobs Scraper](https://apify.com/bovi/naukri-jobs-scraper)
- [Seek Jobs Scraper](https://apify.com/bovi/seek-jobs-scraper)
- [Stepstone Jobs Scraper](https://apify.com/bovi/stepstone-jobs-scraper)

Chain any of them together from the **Integrations** tab (the *Run succeeded* trigger) to build a multi-step workflow — one actor's output feeds the next.

# Actor input Schema

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

Greenhouse company slugs to scrape. The slug is what appears after boards.greenhouse.io/ in the careers URL. Examples: "stripe", "airbnb", "anthropic". Each item can be a plain string ("stripe") or an object ({"slug": "stripe"}).

## `titleKeyword` (type: `string`):

Keep only jobs whose title contains this text (case-insensitive). Example: "engineer". Leave blank to return all jobs.

## `locationKeyword` (type: `string`):

Keep only jobs whose location contains this text (case-insensitive). Example: "San Francisco". Leave blank for all locations.

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

When enabled, only jobs detected as fully remote are returned (based on location text containing "remote").

## `maxJobsPerCompany` (type: `integer`):

Cap on jobs pushed per company slug after filtering. Default 50 keeps trial runs cheap. Set to 0 for unlimited.

## `includeDescriptions` (type: `boolean`):

Return full job description as plain text and HTML. Greenhouse includes descriptions in the list response so this adds no extra API calls — it only controls whether the fields are in your output.

## Actor input object example

```json
{
  "companies": [
    "anthropic",
    "scaleai",
    "databricks"
  ],
  "remoteOnly": false,
  "maxJobsPerCompany": 50,
  "includeDescriptions": true
}
```

# Actor output Schema

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

Dataset containing Greenhouse Job Scraper records (title, company, location, remote\_type, seniority, department, posted\_at, url, parse\_confidence, apply\_url, global\_id).

# 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 = {
    "companies": [
        "anthropic",
        "scaleai",
        "databricks"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("bovi/greenhouse-job-scraper-ai-companies").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 = { "companies": [
        "anthropic",
        "scaleai",
        "databricks",
    ] }

# Run the Actor and wait for it to finish
run = client.actor("bovi/greenhouse-job-scraper-ai-companies").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 '{
  "companies": [
    "anthropic",
    "scaleai",
    "databricks"
  ]
}' |
apify call bovi/greenhouse-job-scraper-ai-companies --silent --output-dataset

```

## MCP server setup

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

```

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/4EYQ00ytxxamiOhva/builds/389ViohlY58hK4eR6/openapi.json