StepStone Jobs Scraper — Titles, Companies, Locations & Apply Links

Scrape job listings from StepStone (stepstone.de) by keyword and location into clean, structured JSON, CSV or Excel. Give it plain search terms or full StepStone jobs URLs and pull job title, company, company page link, location, home-office flag, posted time, badges, a description snippet and a direct apply link. No account and no login needed. Built for recruiters, job-board builders and labour-market analysts in the German-speaking market.

Features

• 🔎 Keyword + location search — pass searches as "software engineer|Berlin" lines, or feed full stepstone.de/jobs URLs.
• 🔗 Advanced start URLs — supply a startUrls request list of {"url":"..."} jobs pages for precise control.
• 🏢 Company links — captures both the employer name and its StepStone companyUrl where present.
• 🏠 Home-office flag — every record carries a boolean workFromHome so you can filter remote-friendly roles.
• 🏷️ Job badges — collects listing badges (e.g. tags shown on the card) as an array.
• 📄 Page depth control — set maxPagesPerSearch (~25 jobs each) and maxItems to balance cost and coverage.

Input

{
  "searches": ["software engineer|Berlin", "pflege|München"],
  "maxItems": 0,
  "maxPagesPerSearch": 10
}

Field	Description
searches	One per line: `"keyword
startUrls	Advanced: a request list of {"url":"..."} StepStone jobs URLs.
maxItems	Cap total jobs across all searches (0 = no cap).
maxPagesPerSearch	Result pages (~25 jobs each) to crawl per search.

Use cases

• Build or refresh a German-market job board with fresh listings.
• Source candidates by monitoring roles by title and city.
• Track hiring demand and home-office trends for labour-market research.
• Feed structured job records into an ATS, CRM or analytics pipeline.

What you get

Each job is one dataset record like this:

{
  "jobId": "1234567",
  "title": "Softwareentwickler (m/w/d)",
  "company": "Acme GmbH",
  "companyUrl": "https://www.stepstone.de/cmp/de/acme-gmbh-12345",
  "location": "Berlin",
  "workFromHome": true,
  "posted": "vor 2 Tagen",
  "badges": ["Home Office möglich"],
  "snippet": "Wir suchen einen erfahrenen Softwareentwickler für unser Plattform-Team...",
  "url": "https://www.stepstone.de/stellenangebote--softwareentwickler-berlin-acme-gmbh--1234567-inline.html"
}

Output schema

Field	Type	Description
jobId	string	StepStone's unique identifier for the job listing.
title	string	Job title / role.
company	string	Name of the hiring company.
companyUrl	string (URL)	Link to the company's StepStone page.
location	string	Job location / city.
workFromHome	boolean	Whether the role offers home office / remote work.
posted	string	Human-readable posting age (e.g. vor 2 Tagen).
badges	array	Listing badges or tags shown on the job card.
snippet	string	Short description snippet from the listing.
url	string (URL)	Direct link to the job listing on StepStone.

Related Actors

• Reed Scraper
• Indeed Scraper
• WeWorkRemotely Scraper
• RemoteOK Scraper

FAQ

Do I need a StepStone account or login? No. Just add your search terms or URLs and run — no account, login or setup required.

How many jobs can I scrape? As many as your searches return. Use maxPagesPerSearch and maxItems to control the volume and cost.

What export formats are supported? JSON, CSV, Excel and XML, plus the Apify API for programmatic access.

Can I filter for remote roles? Yes — every record carries a workFromHome boolean you can filter on.

Can I connect it to other tools? The StepStone Scraper can be connected with almost any cloud service or web app thanks to integrations on the Apify platform. It works with Make, Zapier, Slack, Airbyte, GitHub, Google Drive and many more, plus the Apify API, JavaScript/Python clients and MCP. Or use webhooks to trigger an action whenever a run finishes.

Notes

Returns only public StepStone job data — the same information any visitor can see. This is an independent tool and is not affiliated with, endorsed by or connected to StepStone; "StepStone" is a trademark of its respective owner.