# StepStone DACH Job Listings Scraper (`jungle_synthesizer/stepstone-dach-job-listing-scraper`) Actor

Scrape job listings from StepStone across Germany, Austria, and Belgium. Get structured data on titles, companies, locations, salaries, work mode, contract type, and full job descriptions.

- **URL**: https://apify.com/jungle\_synthesizer/stepstone-dach-job-listing-scraper.md
- **Developed by:** [BowTiedRaccoon](https://apify.com/jungle_synthesizer) (community)
- **Categories:** Jobs, Lead generation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.80 / 1,000 record scrapeds

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## StepStone DACH Job Listings Scraper

Scrape job listings from [StepStone](https://www.stepstone.de), the leading job board across Germany, Austria, and Belgium. Returns titles, companies, locations, salaries, work mode, contract and employment type, badges, and full job descriptions for listings across all three country properties.

***

### StepStone DACH Job Listings Scraper Features

- Covers all three StepStone properties — stepstone.de, stepstone.at, and stepstone.be — in a single run
- Extracts 24 fields per listing, including salary range, currency, and period where disclosed
- Returns the full job description as clean HTML, not just a search-result snippet
- Classifies work mode (onsite / hybrid / home-office), contract type, and employment type from the listing and job ad text
- Search by any keyword or job title — defaults to a broad set of category terms per country if left empty
- Filter to one, two, or all three countries per run
- Deduplicates listings that surface under more than one search keyword

***

### Who Uses a StepStone Scraper?

- **DACH recruitment agencies** — track competitor job postings and open roles across client industries
- **Salary-benchmark vendors** — build compensation datasets from disclosed salary ranges across Germany, Austria, and Belgium
- **Labour-market analysts** — monitor hiring demand by role, region, and industry over time
- **HR software vendors** — feed job-market data into workforce planning and recruiting tools

***

### How StepStone DACH Job Listings Scraper Works

1. You choose one or more countries (`de`, `at`, `be`) and, optionally, your own search keywords
2. The actor searches StepStone's keyword/category listing pages for each country and keyword, paginating through results
3. Each listing's search-result card is parsed for title, company, location, and badges
4. The actor then opens each job's own page to pull the full description, salary details, and posting date
5. Structured records are returned as they're collected, up to your `maxItems` limit

***

### Input

```json
{
  "countries": ["de", "at"],
  "keywords": ["softwareentwickler", "vertrieb"],
  "maxItems": 200
}
```

| Field | Type | Default | Description |
|-------|------|---------|-------------|
| `countries` | array | `["de", "at", "be"]` | StepStone country properties to include |
| `keywords` | array of strings | *(broad default set per country)* | Job titles or categories to search. Leave empty for a wide default sweep of category terms |
| `maxItems` | integer | `10` | Maximum number of job listings to return |

#### Resuming a large crawl

Every run emits a `resumeCursor` in its Output. If a large crawl stops before it finishes — because it hit `maxItems`, your spend cap (`maxTotalChargeUsd`), or was aborted — start a new run with **the same input** plus that `resumeCursor` to continue from where it left off. The crawl resumes from the queued work the previous run didn't reach.

- You are **not re-charged** for records the earlier run already delivered.
- Resume within your account's run-retention window — on the free tier, roughly your 10 most recent runs. Once the source run is pruned, its `resumeCursor` is no longer valid.
- `resumeCursor` is opaque — supply it unmodified.

***

### StepStone DACH Job Listings Scraper Output Fields

```json
{
  "job_id": "2234650",
  "country": "be",
  "title": ".Net & Blazor Software Developer",
  "company_name": "Smals",
  "company_profile_url": null,
  "location": "Bruxelles",
  "region": null,
  "work_mode": "onsite",
  "contract_type": null,
  "employment_type": null,
  "salary_min": null,
  "salary_max": null,
  "salary_currency": null,
  "salary_period": null,
  "salary_is_estimate": null,
  "description_snippet": "Smals réalise des projets ICT innovants dans l'e-gouvernement...",
  "description_html": "<div>...</div>",
  "badges": ["Anschreiben nicht erforderlich"],
  "posted_at": null,
  "posted_relative": null,
  "search_keyword": "informatique",
  "search_result_total": 178,
  "job_url": "https://www.stepstone.be/jobs--Net-Blazor-Software-Developer-Bruxelles-Smals--2234650-inline.html",
  "scraped_at": "2026-08-10T07:13:17.432Z"
}
```

| Field | Type | Description |
|-------|------|-------------|
| `job_id` | string | Source-native job identifier |
| `country` | string | `de`, `at`, or `be` |
| `title` | string | Job title |
| `company_name` | string | Hiring company |
| `company_profile_url` | string | Link to the company's StepStone profile, when available |
| `location` | string | City or area listed for the role |
| `region` | string | Broader region, when disclosed |
| `work_mode` | string | `onsite`, `hybrid`, or `home-office` |
| `contract_type` | string | Fixed-term, permanent, freelance, when stated |
| `employment_type` | string | Full-time, part-time, apprenticeship, internship, when stated |
| `salary_min` / `salary_max` | number | Salary range, when disclosed |
| `salary_currency` | string | Always `EUR` when a salary is present |
| `salary_period` | string | `year`, `month`, `week`, or `hour` |
| `salary_is_estimate` | boolean | Whether the listing flags the range as an estimate |
| `description_snippet` | string | Short preview of the job description |
| `description_html` | string | Full job description as HTML |
| `badges` | array | Listing badges (e.g. "cover letter not required") |
| `posted_at` | datetime | Estimated absolute posting date |
| `posted_relative` | string | Original relative posting date text |
| `search_keyword` | string | The keyword that surfaced this listing |
| `search_result_total` | number | Total results StepStone reported for that keyword search |
| `job_url` | string | Canonical URL of the job posting |
| `scraped_at` | datetime | When this record was collected |

***

### FAQ

#### Does this cover Germany, Austria, and Belgium in one run?

Yes. Set `countries` to any combination of `de`, `at`, and `be` — the default covers all three.

#### What if I don't supply keywords?

The actor falls back to a broad default set of category terms per country (software, sales, marketing, healthcare, engineering, and more), so a default run still reaches a wide slice of each market.

#### Is salary data available for every listing?

Only when the employer discloses it. StepStone doesn't require salary ranges on postings, so `salary_min`/`salary_max` are `null` for listings that don't include one.

***

### Need More Features?

Have a request or found an issue? [Open an issue](https://github.com/orbtop) or contact actor-support@orbtop.com.

### Why Use StepStone DACH Job Listings Scraper?

- **Three-country coverage in one actor** — most alternatives cover Germany only, or split Austria into a separate tool
- **Full job descriptions, not snippets** — every record includes the complete description HTML from the job's own page
- **Broad default coverage** — no keywords required to get a wide sweep of categories per country

# Actor input Schema

## `sp_intended_usage` (type: `string`):

What will this data feed? E.g. lead lists, KYB checks, price tracking.

## `sp_improvement_suggestions` (type: `string`):

Provide any feedback or suggestions for improvements.

## `sp_contact` (type: `string`):

We'll personally help with your use case. No spam.

## `resumeCursor` (type: `string`):

Leave empty for a fresh crawl. To CONTINUE a previous run where it stopped — without paying again for records you already received — paste the `resumeCursor` value from that run's Output (the run's OUTPUT key). Resume promptly: the previous run's data expires with your account's retention window (free tier: your ~10 most recent runs).

## `maxItems` (type: `integer`):

Maximum number of records to scrape

## `countries` (type: `array`):

StepStone country properties to include. Defaults to all three.

## `keywords` (type: `array`):

Job titles/categories to search (e.g. Softwareentwickler, Vertrieb, Pflege). Leave empty to use a broad default set of category terms covering the whole DACH+BE corpus.

## Actor input object example

```json
{
  "sp_intended_usage": "Describe your intended use...",
  "sp_improvement_suggestions": "Share your suggestions here...",
  "sp_contact": "Share your email here...",
  "maxItems": 10,
  "countries": [
    "de",
    "at",
    "be"
  ],
  "keywords": []
}
```

# Actor output Schema

## `results` (type: `string`):

No description

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "sp_intended_usage": "Describe your intended use...",
    "sp_improvement_suggestions": "Share your suggestions here...",
    "sp_contact": "Share your email here...",
    "maxItems": 10,
    "countries": [
        "de",
        "at",
        "be"
    ],
    "keywords": []
};

// Run the Actor and wait for it to finish
const run = await client.actor("jungle_synthesizer/stepstone-dach-job-listing-scraper").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "sp_intended_usage": "Describe your intended use...",
    "sp_improvement_suggestions": "Share your suggestions here...",
    "sp_contact": "Share your email here...",
    "maxItems": 10,
    "countries": [
        "de",
        "at",
        "be",
    ],
    "keywords": [],
}

# Run the Actor and wait for it to finish
run = client.actor("jungle_synthesizer/stepstone-dach-job-listing-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "sp_intended_usage": "Describe your intended use...",
  "sp_improvement_suggestions": "Share your suggestions here...",
  "sp_contact": "Share your email here...",
  "maxItems": 10,
  "countries": [
    "de",
    "at",
    "be"
  ],
  "keywords": []
}' |
apify call jungle_synthesizer/stepstone-dach-job-listing-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,jungle_synthesizer/stepstone-dach-job-listing-scraper"
        }
    }
}

```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/MY5g2upVQuKFYPZPW/builds/lVF1Jjd2MGWdtyve9/openapi.json