Scrape StepStone.de — Germany's Largest Job Board, Rewritten in Go for Speed
Extract structured job data from StepStone.de, the dominant job platform in the German market with hundreds of thousands of active listings. Our Go rewrite delivers 10x lower resource usage compared to browser-based scrapers while supporting multi-query searches with full company metadata. Datacenter proxies keep costs minimal.
Pricing
$0.008/SERP + $0.020/detail
Anti-Bot
TLS fingerprinting
What You Can Scrape
- Job search results — title, company, location, salary range, posting date across all German regions
- Full job details — complete description, requirements, benefits, work model, contract type
- Company profiles — employer name, industry, size, logo, and company description
- Multi-query — batch multiple keyword and location searches in a single run with automatic deduplication
- Salary estimates — StepStone's salary predictions where available
- Application links — direct apply URLs for each listing
Primary Use Cases
- German labor market intelligence — track hiring volumes, skill demand, and salary trends by region
- Recruitment analytics — benchmark time-to-fill and competitor hiring activity
- Job board aggregation — combine StepStone data with other German boards for complete market coverage
- Sales prospecting — identify growing German companies through their active job postings
- Workforce planning — analyze labor supply and demand across German federal states
API Example
curl -X POST "https://api.apify.com/v2/acts/santamaria-automations~stepstone-de-scraper/runs?token=YOUR_TOKEN" \
-H "Content-Type: application/json" \
-d '{
"searchQueries": ["data scientist"],
"location": "Munich",
"maxResultsPerQuery": 100,
"includeJobDetails": true
}'
Integrations
- n8n / Make / Zapier — trigger runs and process results via webhook
- AI Agents (MCP) — Claude Desktop, Cursor, VS Code, LangChain, LlamaIndex
- Python / Node.js — Apify SDK for programmatic access
- Google Sheets / Airtable — export via Apify integrations
How It Compares
| Feature | NanoScrape | Browser-based scrapers |
| Docker image | ~12MB | 500MB - 2GB |
| RAM usage | 128MB | 1-4GB |
| Cost per 1k SERP | $8.00 | $15 - $30 |
| Cost per 1k details | $20.00 | $30 - $60 |
| Anti-bot approach | TLS fingerprinting | Full Chrome browser |
| Speed (1k jobs) | ~4 min | 25-60 min |
| Multi-query | Yes (deduplicated) | Limited |
Output Fields
| Field | Type | Example |
| title | string | Data Scientist (m/w/d) |
| company | string | BMW Group |
| location | string | Munich, Bavaria |
| salary | string | 55.000 - 75.000 EUR/Jahr |
| work_model | string | Hybrid |
| description | string | Full job description text |
| company_logo | string | https://... |
| apply_url | string | https://stepstone.de/... |
| posted_at | string | 2026-04-21 |
| search_query | string | data scientist |