# Extract Greenhouse jobs with salary ranges

**Use case:** 

Collect all current jobs from a Greenhouse company board and request each posting's detail endpoint to retain published pay ranges when available. The output includes compensation, timestamps, locations, descriptions, apply URLs, stable IDs, and raw source data.

## Input

```json
{
  "startUrls": [
    {
      "url": "https://job-boards.greenhouse.io/airbnb",
      "userData": {
        "companyName": "Airbnb"
      }
    }
  ],
  "includeGreenhouseDetails": true
}
```

## Output

```json
{
  "record_type": {
    "label": "Record type",
    "format": "string"
  },
  "input_position": {
    "label": "Input position",
    "format": "integer"
  },
  "company": {
    "label": "Company",
    "format": "string"
  },
  "source": {
    "label": "ATS",
    "format": "string"
  },
  "board": {
    "label": "Job board identifier",
    "format": "string"
  },
  "title": {
    "label": "Job title",
    "format": "string"
  },
  "compensation": {
    "label": "Source compensation",
    "format": "object"
  },
  "compensation_source": {
    "label": "Compensation source",
    "format": "string"
  },
  "source_published_at": {
    "label": "Source publication time",
    "format": "string"
  },
  "publication_time_kind": {
    "label": "Publication time meaning",
    "format": "string"
  },
  "source_updated_at": {
    "label": "Source update time",
    "format": "string"
  },
  "source_created_at": {
    "label": "Source creation time",
    "format": "string"
  },
  "observed_at": {
    "label": "Observed at",
    "format": "string"
  },
  "source_job_id": {
    "label": "Source job ID",
    "format": "string"
  },
  "job_key": {
    "label": "Job key",
    "format": "string"
  }
}
```

## How it works

### 1. Sign up on Apify or log in

The Greenhouse, Lever & Ashby Job Scraper API Actor is ready to run with the inputs already set for "Extract Greenhouse jobs with salary ranges". [Sign up or log in](https://console.apify.com/create-task-from-example/vtOyWkNZXZAS8KDGK) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Extract Greenhouse jobs with salary ranges" task

The Greenhouse, Lever & Ashby Job Scraper API Actor will start running based on the input automatically. You can also change all the input fields, like verified company job board urls and include greenhouse salary details, to match your specific use case.

### 3. Receive the "Extract Greenhouse jobs with salary ranges" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as record type, input position, company, and more.

### 4. Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also [run the "Extract Greenhouse jobs with salary ranges" task via API](https://apify.com/arjun_code/ats-job-scraper.md).

## About this Actor

This example demonstrates how to use [Greenhouse, Lever & Ashby Job Scraper API](https://apify.com/arjun_code/ats-job-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/arjun_code/ats-job-scraper.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

This Task's input is already configured above. Use it as-is rather than inventing a new one.

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 full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/arjun_code/ats-job-scraper.md

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`).