# StepStone Jobs mit Gehaltsangaben exportieren

**Use case:** 

StepStone Stellenanzeigen aus Deutschland als CSV, JSON oder Excel exportieren. Je Anzeige die Gehaltsspanne als Zahl mit Minimum, Maximum, Währung und Zeitraum, dazu Benefits, Skills, vollständige Beschreibung und der Arbeitgeber mit Branche, Mitarbeiterzahl und offenen Stellen. Aus über 179.000 Stellenanzeigen deutschlandweit.

## Input

```json
{
  "keyword": "software engineer",
  "location": "Deutschland",
  "country": "de",
  "radius": 30,
  "exactMatchesOnly": false,
  "maxItems": 500
}
```

## Output

```json
{
  "title": {
    "label": "Job title"
  },
  "company": {
    "label": "Company"
  },
  "location": {
    "label": "Location"
  },
  "salary": {
    "label": "Salary estimate"
  },
  "isRemote": {
    "label": "Home office"
  },
  "workType": {
    "label": "Working hours"
  },
  "contractType": {
    "label": "Contract"
  },
  "employmentType": {
    "label": "Employment type"
  },
  "industry": {
    "label": "Industry"
  },
  "matchType": {
    "label": "Match"
  },
  "benefits": {
    "label": "Benefits"
  },
  "skills": {
    "label": "Skills mentioned"
  },
  "badges": {
    "label": "Listing flags"
  },
  "isDirectApply": {
    "label": "Apply on StepStone"
  },
  "contactEmails": {
    "label": "Contact emails"
  },
  "contactPhones": {
    "label": "Contact phones"
  },
  "postedAt": {
    "label": "Published"
  },
  "expiresAt": {
    "label": "Online until"
  },
  "isOnline": {
    "label": "Still online"
  },
  "language": {
    "label": "Ad language"
  },
  "site": {
    "label": "StepStone site"
  },
  "country": {
    "label": "Country"
  },
  "addressLocality": {
    "label": "City"
  },
  "addressCountry": {
    "label": "Country"
  },
  "streetAddress": {
    "label": "Street"
  },
  "postalCode": {
    "label": "Postcode"
  },
  "latitude": {
    "label": "Latitude"
  },
  "longitude": {
    "label": "Longitude"
  },
  "descriptionHtml": {
    "label": "Description (HTML)"
  },
  "descriptionSections": {
    "label": "Description sections"
  },
  "images": {
    "label": "Images"
  },
  "videos": {
    "label": "Videos"
  },
  "headerImages": {
    "label": "Header images"
  },
  "backgroundImageUrl": {
    "label": "Background image"
  },
  "url": {
    "label": "Job page"
  },
  "id": {
    "label": "Job ID"
  },
  "globalId": {
    "label": "Global job ID"
  },
  "scrapedAt": {
    "label": "Scraped at"
  }
}
```

## About this Actor

This example demonstrates how to use [StepStone.de Job Scraper - Germany Salary & Company Data](https://apify.com/clearpath/stepstone-de-job-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/clearpath/stepstone-de-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/clearpath/stepstone-de-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`).