# ATS Jobs With HTML Descriptions

**Use case:** 

The advert body as the employer's ATS stores it, in HTML, with headings and lists intact. Useful when the posting is going to be rendered on a page rather than fed to a search index. Keeping only one of the two description fields halves the dataset size.

## Input

```json
{
  "registryPick": [
    "greenhouse:stripe",
    "ashby:ramp",
    "ashby:notion"
  ],
  "registryAts": [],
  "useRegistry": true,
  "registryLimit": 0,
  "registryCountry": [],
  "registryMinJobs": 0,
  "keywords": [],
  "excludeKeywords": [],
  "location": "",
  "remoteOnly": false,
  "postedWithinDays": 0,
  "salaryMin": 0,
  "employmentType": "",
  "includeDescription": true,
  "descriptionFormat": "html",
  "outputFormat": "flat",
  "deduplicate": "none",
  "onlyNew": false,
  "maxItems": 1000,
  "companies": [],
  "boards": [],
  "companiesPerBatch": 20
}
```

## Output

```json
{
  "title": {
    "label": "Job title",
    "format": "string"
  },
  "company": {
    "label": "Company",
    "format": "string"
  },
  "location": {
    "label": "Location",
    "format": "string"
  },
  "city": {
    "label": "City",
    "format": "string"
  },
  "country": {
    "label": "Country",
    "format": "string"
  },
  "remote": {
    "label": "Fully remote",
    "format": "boolean"
  },
  "hybrid": {
    "label": "Hybrid",
    "format": "boolean"
  },
  "has_remote_option": {
    "label": "Remote possible",
    "format": "boolean"
  },
  "employment_type": {
    "label": "Employment type",
    "format": "string"
  },
  "experience_level": {
    "label": "Seniority",
    "format": "string"
  },
  "department": {
    "label": "Department",
    "format": "string"
  },
  "salary_min": {
    "label": "Salary from",
    "format": "integer"
  },
  "salary_max": {
    "label": "Salary to",
    "format": "integer"
  },
  "salary_currency": {
    "label": "Currency",
    "format": "string"
  },
  "salary_period": {
    "label": "Pay period",
    "format": "string"
  },
  "salary_raw": {
    "label": "Salary as published",
    "format": "string"
  },
  "posted_at": {
    "label": "Posted",
    "format": "string"
  },
  "posted_days_ago": {
    "label": "Days ago",
    "format": "integer"
  },
  "description_text": {
    "label": "Description",
    "format": "string"
  },
  "url": {
    "label": "Link",
    "format": "string"
  },
  "source": {
    "label": "ATS",
    "format": "string"
  },
  "company_slug": {
    "label": "Company slug",
    "format": "string"
  },
  "job_id": {
    "label": "Job ID",
    "format": "string"
  },
  "ref_number": {
    "label": "Ref number",
    "format": "string"
  }
}
```

## About this Actor

This example demonstrates how to use [ATS Jobs Salary Scraper - Greenhouse, Lever, Workday, Ashby](https://apify.com/snow_leo_data/ats-jobs-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/snow_leo_data/ats-jobs-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/snow_leo_data/ats-jobs-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`).