# StepStone Jobs Scraper: Germany, Austria, Belgium (`torix33/stepstone-jobs-scraper`) Actor

Scrape StepStone job listings by keyword and location (radius, date filter) on stepstone.de, .at and .be: title, company, salary range, location, dates, benefits and optionally the full job description with address and geo-coordinates. Fast, no browser. Pay per job.

- **URL**: https://apify.com/torix33/stepstone-jobs-scraper.md
- **Developed by:** [Torix](https://apify.com/torix33) (community)
- **Categories:** Jobs, Lead generation
- **Stats:** 3 total users, 2 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$2.50 / 1,000 job scrapeds

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

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

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

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 examples already wired to this Actor's own input schema, see the [API](#api) section below.

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`).

# README

## StepStone Jobs Scraper — Germany, Austria & Belgium

Scrape job listings from **StepStone** (stepstone.de, stepstone.at, stepstone.be) by **keyword, location and radius**: **job title, company, company logo and profile, location, publish and expiry dates, salary range (min/max, currency, period), benefits, labels** — and optionally the **full job description, employment type, industry, street address and geo-coordinates**.

No browser and no login: the actor reads the data StepStone already embeds in its pages.

### How to run it in 3 steps

1. **Add your input.** In **Keywords** paste job titles or skills, and pick the country site — e.g. `python` + site `de`. The form is already filled with a working example, so you can skip this step for a first try.
2. **Press Start.** The prefilled run returns 30 jobs in about 4 s and costs about **$0.075**. Set **Max results (cost cap)** to cap the cost of bigger runs; you only pay for jobs actually delivered.
3. **Get the data.** Open the **Output** tab and export JSON, CSV or Excel — or run it from the API, Make, Zapier, n8n or an AI agent (see below).

### Features

- **Salary on every job** where StepStone shows it (exact or predicted range).
- **Full descriptions on demand** (`scrapeDetails`) from each posting's structured data, cleaned to plain text.
- **Keyword + location + radius + "posted within"** filters, or paste any StepStone search URL with filters already set.
- **Deduplicated** across keywords and pages.
- **3 countries:** Germany, Austria, Belgium.
- **Pay per job:** $2.50 per 1,000 — about half of typical StepStone scrapers.

### Use cases

- **Recruiting & sourcing:** find companies hiring for a skill in a city.
- **Lead generation for agencies and HR-tech:** companies with open roles = companies with budget.
- **Salary benchmarking** by title, region and company.
- **Labour-market analytics** and job-board aggregation.

### Input

```json
{
  "keywords": ["python", "data analyst"],
  "location": "Berlin",
  "radius": 30,
  "site": "de",
  "postedWithin": "7",
  "maxJobsPerSearch": 200,
  "scrapeDetails": true
}
```

### Output

#### Real output (default input)

First 2 of 30 records from a run with the prefilled input (2.2 s on a test machine; long values shortened here):

```json
[
  {
    "jobId": 14599082,
    "title": "Senior Backend-Entwickler (m/w/d) Python / OpenGL",
    "company": "item Industrietechnik GmbH",
    "companyId": 228297,
    "companyUrl": "https://www.stepstone.de/cmp/de/item-industrietechnik-gmbh-228297/jobs",
    "companyLogo": "https://www.stepstone.de/upload_DE/logo/3/logoItem-Industrietechnik-GmbH-228297DE.gif",
    "location": "Solingen",
    "url": "https://www.stepstone.de/stellenangebote--Senior-Backend-Entwickler-m-w-d-Python-OpenGL-Solingen-item-Industrietechnik-GmbH--14599082-inline…",
    "datePosted": "2026-10-12T14:32:53.03Z",
    "validThrough": "2026-12-11T15:32:53.03Z",
    "salaryMin": 56000,
    "salaryMax": 76000,
    "salaryCurrency": "EUR",
    "salaryPeriod": "Annually",
    "salaryType": "Predicted",
    "workFromHome": "2",
    "snippet": "Moderne Microservices in Python entstehen durch Deine Expertise und machen unsere Plattform zuverlässig, skalierbar und zukunftssicher. * Fu…",
    "benefits": "• Bei uns arbeitest Du dort, wo Du am produktivsten bist, sowohl im Büro als auch im Homeoffice – ganz nach Projektphase und persönlicher Ab…",
    "labels": [
      "Schnelle Bewerbung"
    ],
    "skills": [],
    "isSponsored": false,
    "isTopJob": false,
    "isAnonymous": false,
    "search": "python",
    "searchTotal": 1712,
    "scrapedAt": "2026-10-15T12:13:37.834Z"
  },
  {
    "jobId": 14597758,
    "title": "Senior Software Test Engineer (m/f/d) - Python Test Automation",
    "company": "AstraZeneca",
    "companyId": 70560,
    "companyUrl": "https://www.stepstone.de/cmp/de/astrazeneca-70560/jobs",
    "companyLogo": "https://www.stepstone.de/upload_DE/logo/A/logoAstraZeneca-70560DE.gif",
    "location": "München",
    "url": "https://www.stepstone.de/stellenangebote--Senior-Software-Test-Engineer-m-f-d-Python-Test-Automation-Muenchen-AstraZeneca--14597758-inline.h…",
    "datePosted": "2026-10-12T08:58:26.997Z",
    "validThrough": "2026-11-11T09:58:26.997Z",
    "salaryMin": 76000,
    "salaryMax": 99000,
    "salaryCurrency": "EUR",
    "salaryPeriod": "Annually",
    "salaryType": "Predicted",
    "workFromHome": "0",
    "snippet": "with a focus on Python Test Automation - This is a hands-on, automation-first role in which testing is predominantly automated in Python, wi…",
    "benefits": "What you can expect:\n• Individual development opportunities with a focus on lifelong learning\n• Trust, appreciation, and room to shape thing…",
    "labels": [],
    "skills": [],
    "isSponsored": false,
    "isTopJob": false,
    "isAnonymous": false,
    "search": "python",
    "searchTotal": 1712,
    "scrapedAt": "2026-10-15T12:13:37.834Z"
  }
]
```

```json
{
  "jobId": 14478127,
  "title": "Machine Learning Engineer (m/w/d)",
  "company": "PROCITEC GmbH",
  "companyId": 75781,
  "companyUrl": "https://www.stepstone.de/cmp/de/procitec-gmbh-75781/jobs",
  "companyLogo": "https://www.stepstone.de/upload_DE/logo/2/logoPROCITEC-GmbH-75781DE-2210240947.gif",
  "location": "Pforzheim",
  "url": "https://www.stepstone.de/stellenangebote--Machine-Learning-Engineer-m-w-d-Pforzheim-PROCITEC-GmbH--14478127-inline.html",
  "datePosted": "2026-10-07T15:03:05.41Z",
  "validThrough": "2026-11-06T15:55:19.01Z",
  "salaryMin": 54000,
  "salaryMax": 75000,
  "salaryCurrency": "EUR",
  "salaryPeriod": "Annually",
  "salaryType": "Predicted",
  "workFromHome": "2",
  "snippet": "Du entwickelst produktfähige Software in Python…",
  "benefits": "Was wir bieten\nFlexible Arbeitszeit & Gleitzeitkonto…",
  "labels": ["Schnelle Bewerbung"],
  "isSponsored": false,
  "isTopJob": false,
  "search": "python",
  "searchTotal": 274,
  "description": "Einleitung\nWerde Teil unseres Wachstumskurses…",
  "employmentType": ["FULL_TIME"],
  "industry": "IT, IT-Softwareentwicklung",
  "city": "Pforzheim",
  "country": "DE",
  "latitude": 48.88647,
  "longitude": 8.697857,
  "scrapedAt": "2026-10-13T22:00:00.000Z"
}
```

`description`, `descriptionHtml`, `employmentType`, `industry`, address and coordinates are added when **Full job description** is on.

### Use with AI agents (MCP), LangChain, RAG & the API

This actor is a ready-made **tool for AI agents**: an LLM can call it, wait for the run and read clean JSON back.

**MCP server (Claude Desktop, Claude Code, Cursor, VS Code, any MCP client)** — add Apify's hosted MCP server with this actor enabled as a tool:

```json
{
  "mcpServers": {
    "apify": {
      "url": "https://mcp.apify.com/?tools=torix33/stepstone-jobs-scraper",
      "headers": { "Authorization": "Bearer <APIFY_TOKEN>" }
    }
  }
}
```

**LangChain / LangGraph** (`pip install langchain-apify`, set `APIFY_API_TOKEN`):

```python
from langchain_apify import ApifyActorsTool, ApifyWrapper
from langchain_core.documents import Document

## 1) give the actor to an agent as a tool
tool = ApifyActorsTool("torix33/stepstone-jobs-scraper")

## 2) or load results as Documents for a RAG index
loader = ApifyWrapper().call_actor(
    actor_id="torix33/stepstone-jobs-scraper",
    run_input={"keywords": ["python", "data analyst"], "location": "Berlin", "radius": 30, "site": "de", "postedWithin": "7", "maxJobsPerSearch": 200, "scrapeDetails": True},
    dataset_mapping_function=lambda item: Document(page_content=item["description"], metadata={"url": item.get("url")}),
)
docs = loader.load()
```

**REST API — one synchronous call, dataset items in the response:**

```bash
curl -X POST "https://api.apify.com/v2/acts/torix33~stepstone-jobs-scraper/run-sync-get-dataset-items?token=<APIFY_TOKEN>" \
  -H "Content-Type: application/json" \
  -d '{"keywords": ["python", "data analyst"], "location": "Berlin", "radius": 30, "site": "de", "postedWithin": "7", "maxJobsPerSearch": 200, "scrapeDetails": true}'
```

Also works with the Apify Python/JS clients, **Make, Zapier, n8n**, Google Sheets, webhooks and schedules. Export as JSON, CSV, Excel, XML or RSS.

**RAG tip:** Embed `description` and filter on `salary`, `location` and `company` metadata to answer labour-market questions for the DACH region.

### Pricing

- **$2.50 per 1,000 jobs** ($0.0025 per job).
- The prefilled input returns 30 jobs → **$0.075**.
- Example: 1,000 jobs → $2.50; 10,000 → $25.00. Set **Max results (cost cap)** to limit any run.

The price includes the full job description.

### Limitations

- StepStone shows ~25 jobs per page; very broad searches are capped by StepStone's own pagination.
- Only public job ads are collected.

### FAQ

**Which StepStone countries are supported?**
stepstone.de, stepstone.at and stepstone.be (`site`). stepstone.nl is not supported.

**Can I paste a StepStone search URL?**
Yes. Any search URL with filters already set is accepted.

**Does it return salaries?**
Yes, wherever StepStone shows a salary (exact or predicted range).

# Actor input Schema

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

Job titles, skills or company names, one per line (e.g. <code>python</code>, <code>data analyst</code>, <code>SAP</code>).

## `location` (type: `string`):

City or region, e.g. <code>Berlin</code>, <code>München</code>, <code>Wien</code>. Empty = whole country.

## `radius` (type: `integer`):

Search radius around the location.

## `site` (type: `string`):

Which StepStone country site to search.

## `postedWithin` (type: `string`):

Only recently published jobs.

## `startUrls` (type: `array`):

Optional: paste search result URLs with any filters set on the website.

## `maxJobsPerSearch` (type: `integer`):

Per keyword or URL.

## `scrapeDetails` (type: `boolean`):

Open each job for the full description, employment type, industry, street address and geo-coordinates (one extra request per job).

## `maxResults` (type: `integer`):

Stop after this many jobs in total. <code>0</code> = no limit.

## `maxConcurrency` (type: `integer`):

Job pages fetched in parallel (details).

## `proxyConfiguration` (type: `object`):

Requests go direct first; if StepStone blocks, retries switch to these proxies with a fresh IP each time.

## Actor input object example

```json
{
  "keywords": [
    "python"
  ],
  "radius": 30,
  "site": "de",
  "postedWithin": "any",
  "maxJobsPerSearch": 30,
  "scrapeDetails": false,
  "maxResults": 0,
  "maxConcurrency": 20,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

# Actor output Schema

## `jobs` (type: `string`):

No description

## `runStats` (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 = {
    "keywords": [
        "python"
    ],
    "maxJobsPerSearch": 30,
    "proxyConfiguration": {
        "useApifyProxy": true
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("torix33/stepstone-jobs-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 = {
    "keywords": ["python"],
    "maxJobsPerSearch": 30,
    "proxyConfiguration": { "useApifyProxy": True },
}

# Run the Actor and wait for it to finish
run = client.actor("torix33/stepstone-jobs-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 '{
  "keywords": [
    "python"
  ],
  "maxJobsPerSearch": 30,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}' |
apify call torix33/stepstone-jobs-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,torix33/stepstone-jobs-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/yBwEgJtKtCTa7woae/builds/au75wWm0EIdckqAmr/openapi.json