StepStone Scraper [$0.35/1K] | German Jobs

StepStone Scraper - German Job Listings, Salaries & Companies

Turn StepStone searches into structured hiring-market data.

How It Works

Looking for a StepStone scraper or a practical StepStone API alternative? Search by keyword, location and radius, or paste StepStone search and listing URLs. Collect job titles, companies, locations, posted dates, salaries, employment types, skills, remote flags, full descriptions and apply URLs across Germany and the DACH region.

Use the dataset for recruitment sourcing, salary analytics, competitor hiring research and job monitoring. Export as JSON, CSV or Excel, or pull results through the Apify API. Start with one search, then pay from $0.35 per 1,000 jobs.

What You Get

• Job titles, companies, locations and apply URLs
• Salary ranges, employment types and remote flags
• Full descriptions, skills and posting dates
• Monitoring mode for new, changed and expired jobs

Input

Field	Type	Default	Description
searchQuery	string	Softwareentwickler	Job keyword to search for.
location	string	Berlin	City to search in; leave empty for all of Germany.
radius	integer	30	Search radius in kilometres; 0 means anywhere.
startUrls	array	-	Direct StepStone search or listing URLs.
maxItems	integer	50	Maximum jobs to collect; 0 means unlimited.
maxPagesPerSearch	integer	5	Result pages per search, about 25 jobs per page.
freshnessDays	string	0	Only jobs posted within the last N days.
includeKeywords, excludeKeywords	array	-	Keyword filters for titles, companies, locations and skills.
includeDetails	boolean	true	Add full descriptions, employment type and industry.
incrementalMode	boolean	false	Emit only new, updated, reappeared or expired jobs.

Example Input

{
  "searchQuery": "Softwareentwickler",
  "location": "Berlin",
  "radius": 30,
  "maxItems": 100,
  "includeDetails": true
}

Output

One dataset item per record.

Field	Description
id, title, url	Job identity and apply link.
companyName, companyUrl, companyLogoUrl	Employer context.
location, postCode, workFromHome	Location and remote signal.
datePosted, publishFromDate, publishToDate	Posting dates.
salary, unifiedSalary	Salary text and normalized range.
description, skills, employmentType	Job detail.
sourceUrl, harmonisedId	Source and deduplication identifiers.

Example Output

{
  "id": 14586574,
  "title": "Software Entwickler (m/w/d)",
  "companyName": "Johanniter-Unfall-Hilfe e.V.",
  "location": "Hannover",
  "datePosted": "2026-10-07",
  "workFromHome": "2",
  "sourceUrl": "https://www.stepstone.de/jobs/django"
}

Pricing

Volume	Cost
1 job	$0.00035
1,000 jobs	$0.35
10,000 jobs	$3.50

$0.00035 per job ($0.35 per 1,000 jobs). The standard Actor start charge applies to each run.

Integrations

• Export the dataset as JSON, CSV or Excel from Apify.
• Pull results through the Apify API.
• Schedule repeat runs for monitoring and change tracking.
• Connect webhooks to Slack, Google Sheets, Make, Zapier, n8n or your own workflow.

FAQ

Can I monitor new jobs over time?

Yes. Enable monitoring mode and reuse the same state key. Each run then emits only new, updated, reappeared or expired jobs.

Does every job include a salary?

Salary fields are populated when the employer publishes a range. Many postings omit pay.

Can I search all of Germany?

Leave location empty and set radius to 0.

Legal & Compliance

This Actor collects publicly available information. It is not affiliated with, endorsed by or sponsored by the data source. Users are responsible for complying with applicable terms, privacy laws and data-protection regulations.