# Design And UX Jobs On The Muse

**Use case:** 

2,285 design and UX openings: product designers, UX researchers, visual and brand designers, and design systems roles. Small enough a category that a single run with no limit set collects the whole of it.

## Input

```json
{
  "categories": [
    "Design and UX"
  ],
  "levels": [],
  "remoteOnly": false,
  "locations": [],
  "companies": [],
  "keywords": [],
  "excludeKeywords": [],
  "countries": [],
  "locationContains": "",
  "categoryContains": [],
  "levelContains": [],
  "companyContains": [],
  "excludeCompanies": [],
  "postedWithinDays": 0,
  "withDescriptionOnly": false,
  "descriptionFormat": "text",
  "compactOutput": false,
  "excludeEmptyFields": false,
  "newestFirst": true,
  "onlyNew": false,
  "emitUnchanged": false,
  "maxItems": 1000
}
```

## Output

```json
{
  "title": {
    "label": "Job title",
    "format": "string"
  },
  "company": {
    "label": "Company",
    "format": "string"
  },
  "location": {
    "label": "Location",
    "format": "string"
  },
  "location_city": {
    "label": "City",
    "format": "string"
  },
  "location_state": {
    "label": "State",
    "format": "string"
  },
  "location_country": {
    "label": "Country",
    "format": "string"
  },
  "is_remote": {
    "label": "Remote",
    "format": "boolean"
  },
  "locations_all": {
    "label": "All locations",
    "format": "array"
  },
  "category": {
    "label": "Category",
    "format": "string"
  },
  "categories_all": {
    "label": "All categories",
    "format": "array"
  },
  "level": {
    "label": "Seniority",
    "format": "string"
  },
  "levels_all": {
    "label": "All levels",
    "format": "array"
  },
  "employment_type": {
    "label": "Employment type",
    "format": "string"
  },
  "tags": {
    "label": "Tags",
    "format": "array"
  },
  "description_text": {
    "label": "Advert text",
    "format": "string"
  },
  "contact_emails": {
    "label": "Emails in advert",
    "format": "array"
  },
  "contact_urls": {
    "label": "Links in advert",
    "format": "array"
  },
  "published_at": {
    "label": "Published",
    "format": "string"
  },
  "posted_days_ago": {
    "label": "Days ago",
    "format": "integer"
  },
  "url": {
    "label": "Listing",
    "format": "string"
  },
  "change_type": {
    "label": "Change",
    "format": "string"
  },
  "job_id": {
    "label": "Job ID",
    "format": "string"
  },
  "scraped_at": {
    "label": "Scraped at",
    "format": "string"
  }
}
```

## About this Actor

This example demonstrates how to use [The Muse API, Job Board Scraper: Jobs API, Job Search, Postings](https://apify.com/snow_leo_data/the-muse-jobs-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/snow_leo_data/the-muse-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/the-muse-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`).