Extract structured job listing data from Stepstone.de and similar career platforms to analyze hiring trends, recruitment patterns, and candidate opportunities.
This scraper automates data collection across multiple job sites, helping researchers, recruiters, and data analysts gain insights into the global employment market.
Created by Bitbash, built to showcase our approach to Scraping and Automation!
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The Stepstone Scraper is designed to automatically gather detailed job listings from Stepstone.de and affiliated job boards. It simplifies the process of collecting job data for market research, HR analytics, or career intelligence, removing the need for manual extraction.
This scraper works across a network of related websites owned or powered by the Stepstone Group:
- Stepstone.de, Stepstone.at, Stepstone.be, Stepstone.nl
- CWJobs.co.uk, Totaljobs.com, JobSite.co.uk, Milkround.com
- Caterer.com, CityJobs.com, Justengineers.net, Emedcareers.com
- Retailchoice.com, Catererglobal.com, Careerstructure.com
- Pnet.co.za, NIJobs.com, IrishJobs.ie, Jobs.ie
| Feature | Description |
|---|---|
| Multi-Site Crawling | Collect job data from Stepstone.de and all connected job boards in one run. |
| Smart Pagination | Efficiently scrape through thousands of listings without duplication. |
| Structured Data Output | Extract standardized fields suitable for databases or dashboards. |
| Location & Salary Data | Includes detailed geographic and compensation information. |
| Resume Insights | Capture job descriptions and required qualifications for better analytics. |
| Field Name | Field Description |
|---|---|
| jobTitle | Title of the job posting. |
| companyName | Name of the company posting the job. |
| location | City or region of the job listing. |
| jobUrl | Direct URL to the job detail page. |
| jobDescription | Full job description text. |
| salary | Stated or estimated salary information. |
| employmentType | Job type (e.g., Full-time, Part-time, Contract). |
| datePosted | Date when the job was listed. |
| category | Industry or department classification. |
| experienceLevel | Experience required for the role. |
[
{
"jobTitle": "Frontend Developer (React)",
"companyName": "Tech Innovators GmbH",
"location": "Berlin, Germany",
"jobUrl": "https://www.stepstone.de/job/frontend-developer-react",
"jobDescription": "We are looking for an experienced Frontend Developer skilled in React.js to join our growing engineering team...",
"salary": "€65,000 - €80,000 per year",
"employmentType": "Full-time",
"datePosted": "2025-10-05",
"category": "Software Development",
"experienceLevel": "Mid-level"
}
]
Stepstone Scraper/
├── src/
│ ├── main.py
│ ├── scraper/
│ │ ├── stepstone_parser.py
│ │ ├── jobsite_parser.py
│ │ └── utils.py
│ ├── outputs/
│ │ └── exporters.py
│ └── config/
│ └── settings.json
├── data/
│ ├── sample_input.json
│ └── example_output.json
├── requirements.txt
└── README.md
- Recruitment agencies use it to collect job postings for competitive hiring analysis.
- Data analysts use it to monitor job trends and market demand across regions.
- HR tech startups integrate it for real-time job feed aggregation.
- Market researchers use it to study salary distributions and employment growth.
- Universities analyze career opportunities for graduates across industries.
Q1: Which websites are supported by this scraper? A1: It supports Stepstone.de and a wide network of related job portals like Totaljobs, CWJobs, and Careerstructure.
Q2: Does it require login or API access? A2: No login or API key is required. It fetches publicly available job data.
Q3: Can I export results to CSV or JSON? A3: Yes, the scraper supports multiple export formats including JSON, CSV, and Excel.
Q4: How frequently can I run the scraper? A4: You can schedule daily or weekly runs based on your data freshness needs.
Primary Metric: Scrapes up to 10,000 job listings in under 5 minutes. Reliability Metric: Maintains over 98% successful data retrieval rate across supported platforms. Efficiency Metric: Uses smart throttling and concurrency to optimize requests. Quality Metric: Delivers over 95% structured field completeness across job datasets.
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