# Writing And Editing Jobs On The Muse

**Use case:** 

660 writing and editing openings: technical writers, content writers, copy editors, editorial staff and documentation roles. The smallest of the white-collar categories here, and the one where a weekly check beats a one-off pull.

## Input

```json
{
  "categories": [
    "Writing and Editing"
  ],
  "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`).