# Find product design jobs at Figma, Airbnb and Duolingo

**Use case:** 

Returns openings in departments whose name contains 'Design' (Design, Product Design, Content Design, Design Research and similar) at Figma, Airbnb, Duolingo, Discord and Instacart from their Greenhouse boards - mostly product designers, plus UX researchers, brand designers and UX writers - with department, office, location, publish date, excerpt and link.

## Input

```json
{
  "boards": [
    "figma",
    "airbnb",
    "duolingo",
    "discord",
    "instacart"
  ],
  "includeContent": true,
  "departmentFilter": [
    "Design"
  ],
  "maxResultsPerBoard": 50,
  "onlyNewSinceLastRun": false,
  "maxRunSeconds": 120
}
```

## Output

```json
{
  "company": {
    "label": "Company",
    "format": "text"
  },
  "title": {
    "label": "Job title",
    "format": "text"
  },
  "department": {
    "label": "Department",
    "format": "text"
  },
  "office": {
    "label": "Office",
    "format": "text"
  },
  "location": {
    "label": "Location",
    "format": "text"
  },
  "remote": {
    "label": "Remote",
    "format": "boolean"
  },
  "firstPublishedAt": {
    "label": "First published",
    "format": "text"
  },
  "updatedAt": {
    "label": "Updated",
    "format": "text"
  },
  "contentExcerpt": {
    "label": "Excerpt",
    "format": "text"
  },
  "absoluteUrl": {
    "label": "Posting",
    "format": "link"
  },
  "boardToken": {
    "label": "Board",
    "format": "text"
  },
  "jobId": {
    "label": "Job ID",
    "format": "text"
  }
}
```

## About this Actor

This example demonstrates how to use [Greenhouse Jobs Scraper - Job Board API to CSV & JSON](https://apify.com/maydit/greenhouse-jobs-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/maydit/greenhouse-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/maydit/greenhouse-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`).