LAGIC
Lead Audience Growth Intelligence Computing
S

Stepstone.de [Only ๐Ÿ’ฐ] Jobs Scraper โ€” Stepstone.de | Lagic

Built ForRecruitment & StaffingHuman ResourcesMarket Research

Extract detailed job listings and company insights from Stepstone.de.

Curated by LagicยทVerified working

Configure Agent

URLs to start with.

Maximum number of pages that can be processed at the same time.

Minimum number of pages that will be processed at the same time.

Number of times the crawler will retry a failed request before giving up.

Results to deliver

100 credits

This agent actively searches live listings โ€” results may vary. You are only charged for what is delivered, up to this number.

Lagic Proxy

Country auto-rotated. Need a specific region? Contact support.

Pricing

1 credit per result
โœ“ 30 free credits on signupโœ“ Refund if 0 resultsโœ“ No card required

Sample Data Preview

Job TitleCompany NameCompany Logo URLCompany Profile URLJob Posting URLDate Posted
Sample Text...Sample Text...https://...https://...https://...2026-04-05
Sample Text...Sample Text...https://...https://...https://...2026-04-05
..................
Exports as:CSVXLSXJSON

Overview

This tool collects structured job data from Stepstone.de, including job titles, company names, locations, and salary details. It's ideal for market research, recruitment analysis, and tracking hiring trends within the German job market.

### Uncover German Job Market Intelligence Stepstone.de is a key platform for job postings in Germany and neighboring European countries. This data extraction tool provides a structured output of job listings, giving you a clear picture of available roles, company hiring practices, and market dynamics. Whether you're a recruiter seeking talent, a market researcher analyzing industry shifts, or a business aiming to understand competitor hiring, this tool delivers the necessary insights. #### What Data You Get Each extracted job entry provides a wealth of information, from the foundational details like the **job title**, **company name**, and **full job description snippet** to more nuanced data points. You'll receive the **exact URL** to the original posting, the **date it was posted**, and the **location** of the role. For companies, a **company logo URL** and **company profile URL** are often included, offering deeper context. Beyond the basics, the tool captures specific attributes like whether a job is **flagged as a top job**, **sponsored**, or **highlighted**, which can indicate employer investment in visibility. You'll also see if the posting is **anonymous**, meaning the company name is withheld, and if it's a **work-from-home** opportunity. Key classification data, such as **labels** and **skills** associated with the job, helps categorize opportunities. For compensation analysis, the tool attempts to provide a **standardized salary range** where available, along with the raw **salary string** as listed. This helps in benchmarking and understanding compensation trends. Information about the job's posting status, such as `hasFuturePosting` (whether it's a future job opening) and `periodPostedDate` (how long ago it was posted), offers additional context for market analysis. #### How It Helps Your Business By providing granular data on job postings, this tool enables you to monitor demand for specific skills, identify emerging roles, and track competitor hiring activities. Recruiters can pinpoint relevant opportunities and companies, while market analysts can build comprehensive reports on industry trends. The extracted data is clean, structured, and ready for immediate analysis in spreadsheets, databases, or business intelligence tools.

Key Capabilities

  • โœ“ Job Title
  • โœ“ Company Name
  • โœ“ Company Logo URL
  • โœ“ Company Profile URL
  • โœ“ Job Posting URL
  • โœ“ Date Posted
  • โœ“ Location
  • โœ“ Job Description Snippet
  • โœ“ Work-from-Home Status
  • โœ“ Standardized Salary Range (if available)
  • โœ“ Raw Salary String (as listed)
  • โœ“ Job Classification Labels
  • โœ“ Listed Skills (if provided)
  • โœ“ Whether the Company is Anonymous
  • โœ“ Whether the Job is Highlighted or Sponsored
  • โœ“ Internal Job ID and Company ID
  • โœ“ Recruitment agencies tracking new job openings and company hiring patterns in specific German regions.
  • โœ“ Market researchers analyzing salary benchmarks and in-demand skills across various industries in Germany.
  • โœ“ Businesses monitoring competitor expansion and talent acquisition strategies by observing their job postings.
  • โœ“ Job seekers and career counselors identifying suitable opportunities and understanding market requirements for specific roles.
  • โœ“ HR departments performing workforce planning and talent gap analysis based on live job market data.
  • โœ“ Data analysts building dashboards to visualize hiring trends, remote work availability, and job distribution on Stepstone.de.
  • โœ“ Sales teams identifying potential new clients by tracking companies actively hiring and expanding their teams.

Field Dictionary

How To Run This Extractor

1

Provide the starting URLs for the Stepstone.de job listings you wish to extract.

2

Configure optional settings like the maximum number of pages to process concurrently.

3

Start the tool and allow it to navigate the specified Stepstone.de pages.

4

The tool extracts detailed information from each job posting it encounters.

5

Once the process is complete, the extracted data is compiled into a structured file.

6

Download your job market data in your preferred format, such as JSON or CSV, for analysis.

Frequently Asked Questions

What technical skills do I need to use this tool?
No coding is required. You simply provide the starting URLs, and the tool handles the data extraction.
What export formats are available for the extracted data?
How does this tool handle data privacy and compliance?
Can I use this for client work or agency projects?
How reliable is the data extracted?
Can I schedule recurring data extractions?
How fresh is the job posting data?
How is the `unifiedSalary` field structured?
What does it mean if a job posting is `isAnonymous`?
What happens if a job listing has no explicit skills or labels?