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

{
  "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):

[
  {
    "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"
  }
]

{
  "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:

{
  "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):

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:

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).