StepStone.de Job Scraper

Extract structured job listings from StepStone.de — Germany's largest job board. Get salary ranges, job descriptions, company details, and application links at just $0.9 per 1,000 results. This StepStone.de job scraper automates your DACH job market research and recruitment intelligence.

Use Cases

• Recruitment Intelligence — Scout talent pipelines and track hiring trends across German industries
• Job Market Research — Analyze job demand, salary benchmarks, and skill requirements in the DACH region
• Lead Generation — Collect employer contacts and company data for B2B outreach
• Competitor Monitoring — Track which companies are hiring and for what roles
• Salary Benchmarking — Aggregate compensation data across positions, cities, and experience levels
• Candidate Sourcing — Build candidate pools by scraping job postings with requirements and qualifications

How It Works

Provide StepStone.de search URLs (e.g., a city, keyword, or filtered results page). The actor navigates each listing, extracts structured data fields (title, company, salary, location, description, requirements), and returns clean JSON. It handles pagination and rate limits automatically — just set maxItems and let it run.

Input

Field	Type	Required	Default	Notes
startUrls	array	Yes	—	Array of StepStone.de search result URLs to scrape
maxItems	integer	No	10	Maximum number of job listings to extract
proxy	object	No	{ useApifyProxy: true }	Proxy configuration. Apify proxy is recommended for reliable access

Output

Each item in the dataset contains:

Field	Description
url	Direct link to the job listing on StepStone.de
title	Job title
company	Employer name
companyLogo	URL to company logo
location	City or region (e.g., Berlin, Munich, Remote)
salary	Salary range if listed (e.g., "€55,000 – €72,000 / year")
description	Full job description text
requirements	List of skills and qualifications
employmentType	Full-time, Part-time, Contract, etc.
datePosted	When the listing was published
scrapedAt	Timestamp of extraction

Example Input

{
  "startUrls": [
    "https://www.stepstone.de/jobs/software-engineer/in-berlin?radius=10",
    "https://www.stepstone.de/jobs/data-analyst/in-munich"
  ],
  "maxItems": 50,
  "proxy": {
    "useApifyProxy": true
  }
}

Example Output

[
  {
    "url": "https://www.stepstone.de/jobs/software-engineer-berlin-12345678",
    "title": "Senior Software Engineer (m/f/d)",
    "company": "TechCorp GmbH",
    "companyLogo": "https://images.stepstone.de/logo/techcorp.png",
    "location": "Berlin",
    "salary": "€65,000 – €85,000 / year",
    "description": "We are looking for an experienced software engineer to join our growing team...",
    "requirements": ["5+ years experience", "Python", "AWS", "CI/CD"],
    "employmentType": "Full-time",
    "datePosted": "2026-08-25",
    "scrapedAt": "2026-08-30T12:00:00Z"
  }
]

Integrations

• Google Sheets — Push results directly with the Apify integration for Sheets
• Slack — Get notified of new results via webhook
• CRM tools — Feed lead data into HubSpot, Salesforce, or Pipedrive
• Airtable — Sync job data to your Airtable bases
• Make / Zapier — Connect to 5,000+ apps for automated workflows

FAQ

Do I need a StepStone account or API key? No. This scraper works on the public StepStone.de website. No login or API key required.

How does pricing work? You pay $0.0009 per job listing extracted. That's $0.90 for 1,000 results. Apify free tier includes $5/month — enough for ~5,500 listings.

Can I scrape specific filters (salary, experience level)? Yes. Build your filtered search on StepStone.de, copy the URL, and paste it into startUrls. The scraper respects all URL parameters.

Is this compliant with StepStone's terms of service? This tool scrapes publicly available data. Always review StepStone's terms and applicable laws (including GDPR) before using scraped data. See the legal disclaimer below.

For AI Agents

This actor is ideal for AI-driven recruitment and market analysis workflows. Feed the output into an LLM pipeline to:

• Summarize job market trends across German cities
• Extract skill demand patterns from thousands of listings
• Generate salary insights by role, seniority, and location
• Automate candidate-job matching with structured job data
• Build real-time job alerts with continuous monitoring

Input format: JSON with startUrls (array of StepStone.de search URLs) and optional maxItems (integer). Returns dataset items with structured job fields.

SEO Keywords

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Legal Disclaimer

This actor extracts publicly available job listings from StepStone.de for legitimate research and business purposes. Users are responsible for ensuring their use complies with StepStone's terms of service, applicable data protection laws (including GDPR), and local regulations. Do not use extracted data for unsolicited marketing without proper consent. Apify and this actor's developers are not responsible for misuse of scraped data.

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