# Greenhouse Jobs Scraper - Jobs from Greenhouse Boards (`nabeelbaghoor/jobflow-greenhouse`) Actor

Live jobs pulled directly from public Greenhouse career boards. Filter by keyword, title, location, remote, and date. Pay per result.

- **URL**: https://apify.com/nabeelbaghoor/jobflow-greenhouse.md
- **Developed by:** [Nabeel Hassan](https://apify.com/nabeelbaghoor) (community)
- **Categories:** Jobs, Developer tools, Lead generation
- **Stats:** 1 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$4.00 / 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.

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

**Greenhouse Jobs** returns clean, structured job listings sourced directly from Greenhouse public job boards. Results are normalized to one schema, deduplicated, and filterable by keyword, title, location, workplace type, and date. You pay only for the results you receive.

### What you get per job

- Job title, company, and location
- Direct application link
- Posting date
- Source platform
- Description snippet

### How it works

This actor pulls live postings from public applicant tracking system boards, the same feeds companies publish for their own careers pages. No account or key required.

### Example input

```json
{
  "keywords": ["engineer"],
  "locationTypes": ["Remote"],
  "maxResults": 100
}
```

### Pricing

Pay per result. You are charged a small fixed amount for each job returned, and standard Apify platform usage is included. Set Maximum results to cap the cost of any run.

### FAQ

**Where does the data come from?**
Directly from the public job board APIs that companies use to publish their open roles.

**Can I target specific companies?**
Yes. Add board slugs in the Specific companies field, or leave it empty to use our maintained directory.

**Is there a result cap?**
Yes, up to 5,000 results per run.

# Actor input Schema

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

Match against job title and description, e.g. `engineer`, `python`. Leave empty for all jobs.

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

Match against the job title only, e.g. `Software Engineer`.

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

Remote only, or leave empty for all.

## `countries` (type: `array`):

Match location text, e.g. `United States`, `London`.

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

E.g. `7` for the last week. Leave empty for all time.

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

Stop after this many jobs (1 to 5,000). Charged per result returned.

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

Order of results.

## Actor input object example

```json
{
  "keywords": [
    "engineer"
  ],
  "maxResults": 100,
  "sortBy": "date"
}
```

# 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": [
        "engineer"
    ],
    "maxResults": 100
};

// Run the Actor and wait for it to finish
const run = await client.actor("nabeelbaghoor/jobflow-greenhouse").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": ["engineer"],
    "maxResults": 100,
}

# Run the Actor and wait for it to finish
run = client.actor("nabeelbaghoor/jobflow-greenhouse").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 '{
  "keywords": [
    "engineer"
  ],
  "maxResults": 100
}' |
apify call nabeelbaghoor/jobflow-greenhouse --silent --output-dataset

```

## MCP server setup

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

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/mTy44ibdnib6LSXoY/builds/rBeAThvADDzFxF8aU/openapi.json