StepStone.de Jobs & Skills Analyzer

Turn returned StepStone.de job listings into clean recruitment data and practical hiring intelligence. This StepStone.de scraper collects up to 500 unique jobs per run, enriches available job descriptions, identifies normalized skills, and summarizes companies, locations, work modes, employment types, and seniority signals.

Use it as a German jobs scraper in Apify Console or as a job listings API for repeatable job market analysis, talent intelligence, workforce planning, and recruitment research across Germany.

Built and maintained by Zapticx.

Why run this Actor?

• Replace manual review of hundreds of StepStone jobs with structured, export-ready records.
• Compare skills and hiring signals across roles, employers, cities, and German regions.
• Explore remote, hybrid, and on-site patterns derived from returned StepStone listings.
• Normalize employment and seniority signals into consistent fields for analysis.
• Keep source provenance for every record, including query, result group, page, and position.
• Send results directly to JSON, CSV, Excel, the Apify API, or your existing recruitment workflow.

What you receive

Each unique job becomes one durable dataset record. Depending on what is available in the returned listing and job content, records can include:

• StepStone listing ID and canonical job URL;
• job title, company, location, city, and postal code;
• posting and modification dates;
• available job description and explicit enrichment status;
• normalized remote/work-mode, employment-type, and seniority signals;
• normalized skills identified in available job descriptions, with category and provenance;
• query, result group, source page, and result-position provenance.

When analysis is enabled, the SUMMARY record adds transparent aggregates for:

• companies and locations;
• remote, hybrid, and on-site work modes;
• employment types and seniority signals;
• skill frequency and skills coverage;
• collection, duplicate, pagination, and enrichment coverage.

The analysis describes the jobs returned in that run. It is not presented as complete coverage of StepStone or the German labor market.

Quick start

1. Add one or more job titles or keywords.
2. Add German cities or regions, or leave locations empty for a Germany-wide search.
3. Choose up to 500 unique jobs.
4. Keep Create market analysis and Enrich descriptions and skills enabled for the full product output.
5. Click Start and open the dataset or SUMMARY record when the run finishes.

The default Store prefill works without manual changes:

{
  "searchTerms": ["Software Engineer"],
  "locations": ["Berlin"],
  "maxResults": 50,
  "includeRelatedResults": false,
  "enableAnalysis": true
}

Detail enrichment defaults to true, so this example returns available descriptions, normalized skills, and market analysis automatically.

Input options

• searchTerms: job titles or keywords such as Data Engineer, Controller, or Elektroingenieur.
• locations: German cities or regions. Every location is paired with every search term. Leave the list empty for Germany-wide results.
• startUrls: optional StepStone.de /jobs/ search URLs. Supported filters in those URLs are preserved.
• maxResults: maximum number of unique jobs across the run, from 1 to 500.
• includeRelatedResults: optionally include semantic, regional, recommendation, and other expanded result groups. It is off by default so the dataset and analysis describe main results only.
• enableAnalysis: create the aggregate SUMMARY record. Enabled by default.
• enableDetailEnrichment: request available descriptions and derive normalized skills. Enabled by default.

Example job record

Fields remain explicit about source availability and classification provenance. An illustrative enriched record has this shape:

{
  "jobId": "12345678",
  "title": "Senior Elektroingenieur (m/w/d)",
  "companyName": "Example employer",
  "location": "Böblingen",
  "jobUrl": "https://www.stepstone.de/stellenangebote--example--12345678-inline.html",
  "detailStatus": "success",
  "descriptionLength": 3240,
  "remoteType": "Hybrid",
  "employmentType": "Full-time",
  "seniority": "Senior",
  "skills": ["Electrical engineering", "Electronics"],
  "skillsSource": "derived_from_description",
  "resultGroup": "main",
  "sourcePage": 2,
  "source": "stepstone.de"
}

Values vary by listing. Missing source content is left unavailable rather than invented.

Useful use cases

• Recruitment research: build a structured view of open roles, employers, and locations.
• Skills analysis: compare normalized skills identified in available job descriptions.
• Hiring intelligence: monitor which companies are recruiting for selected roles or technologies.
• Job market analysis: compare returned StepStone listings across cities, regions, or focused search terms.
• Remote-jobs research: review derived remote, hybrid, and on-site signals when available.
• Talent intelligence: track employment-type and seniority patterns across a defined result set.
• Data pipelines: use the Actor as a recruitment API feeding dashboards, databases, or internal tools.

Exports and integrations

Use the default dataset in Apify Console or consume it through the API:

• JSON / API: preserves nested skills and skillDetails arrays.
• CSV / Excel: convenient for spreadsheets, review, and BI workflows.
• Automation: connect with Apify webhooks and schedules, Make, Zapier, Google Sheets, or your own database and reporting stack.

The OUTPUT record contains links to the dataset, analysis summary, and run metadata.

Up to 500 unique jobs per run

A single run supports up to 500 unique jobs. The limit applies across all search terms, locations, and start URLs supplied to that run.

For research beyond 500 jobs, split the work into focused runs—for example by role, city, region, experience level, or date/filter combination—and combine the exported datasets downstream. Focused runs also make comparisons easier to interpret.

Pricing

The price is $2.00 per 1,000 result records. Approximate result charges are:

Results	Approximate charge
100	$0.20
250	$0.50
500	$1.00

You are charged for result records produced. Source availability and filtering can cause a run to return fewer records than the requested maximum. Apify shows the current price and estimate in the Actor's Pricing tab before running.

Data quality and trust

• Jobs are deduplicated across the run by stable listing identity and canonical URL.
• Each record retains page and query provenance for traceability.
• Records are stored as they are processed, so successfully collected jobs remain durable if a later source request fails.
• Description enrichment is best effort. When content is unavailable or a request fails, the search-level job remains in the dataset with an explicit detailStatus.
• Summary coverage metrics report how many descriptions were attempted, enriched, unavailable, failed, or skipped.
• Skills are deterministic terms identified in available job descriptions. They are useful for repeatable analysis but are not exhaustive and may include contextual mentions rather than candidate requirements.
• Remote/work-mode, employment, and seniority values are normalized from available source content and are not guaranteed to classify every record perfectly.
• Availability, fields, descriptions, and result counts can change at the source.

Scope and responsible use

This Actor collects publicly accessible StepStone.de job-listing data. Use the results in accordance with applicable laws, StepStone terms, and data-protection obligations. The Actor does not guarantee real-time data, every StepStone job, or complete German labor-market coverage.

Built and maintained by Zapticx.

Disclaimer: StepStone.de is operated by The Stepstone Group Deutschland GmbH. This independent Zapticx product is not affiliated with, endorsed by, or sponsored by The Stepstone Group Deutschland GmbH. Users are responsible for how they use and redistribute the collected data.