Stepstone Jobs Scraper — DACH Job Listings API

Disclaimer: Unofficial tool for publicly accessible Stepstone job listings. StepStone, Stepstone, and related names are trademarks of their respective owners. Not affiliated with, sponsored by, or endorsed by StepStone GmbH / Axel Springer. For informational, research, aggregation, and recruiting-intelligence use only. Respect applicable terms of use and law.

Scrape Stepstone job listings across Germany, Austria, Switzerland (optional NL/BE) — a practical Stepstone API alternative for structured data. Search by keyword, city, or paste listing start URLs. Export title, employer, location, salary notes, skills, home-office flags, published dates, and job URLs via fast HTTP parsing of listing __PRELOADED_STATE__ — no headless browser. Use from Python, Node.js, cURL, or Apify MCP / AI assistants.

Ideal for DACH job board aggregation, labor-market research, recruiting intelligence, employer lead generation, and commercial board coverage next to Germany’s public Jobsuche.

Crawloop DACH Jobs Suite — BA public Jobsuche + Stepstone commercial board.

Arbeitsagentur (BA)	Stepstone (commercial board)
Arbeitsagentur Jobs Scraper	Stepstone Jobs Scraper ◄── you are here

Key Features

• DACH (+ NL/BE) hosts — stepstone.de / .at / .ch / .nl / .be
• BA-like input UX — position, location, startUrls, maxItems
• Listing JSON path — parses app-unifiedResultlist preloaded state (stable vs brittle CSS cards)
• Deduplicated job IDs across pages and searches
• Clean camelCase schema aligned with Arbeitsagentur field names where possible
• Low memory — designed for 256–512 MB runs
• Apify Proxy ready — DE residential recommended on the platform
• MCP / AI ready — call from assistants via Apify MCP

Use Cases

Use case	What you get
Job aggregation	Fresh Stepstone openings into a board / search index
Labor-market research	Hiring volume by keyword × city across DACH
Recruiting intelligence	Competitor vacancy monitoring for target roles
Employer lead gen	Companies actively hiring in a segment
BA + Stepstone coverage	Public Jobbörse + commercial board in one pipeline

When to use this Actor

• You need Stepstone listings (commercial DACH board) as structured JSON
• You want keyword + city search similar to Arbeitsagentur Jobs Scraper
• You already pull BA jobs and need a second board for coverage
• You want a Stepstone scraper callable from Python / Node / MCP without maintaining your own crawler

When not to use this Actor

• Germany public Jobbörse only — use Arbeitsagentur Jobs Scraper
• Guaranteed full HTML descriptions on every card — listing snippet is included; depth varies by posting
• Login-walled / apply-form automation — public listing data only

Quick Start

Keyword + city (Germany):

{
  "position": "Softwareentwickler",
  "location": "Berlin",
  "countryCode": "de",
  "maxItems": 50,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"],
    "apifyProxyCountry": "DE"
  }
}

Listing start URL:

{
  "startUrls": [
    { "url": "https://www.stepstone.de/jobs/softwareentwickler/in-berlin" }
  ],
  "maxItems": 100,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"],
    "apifyProxyCountry": "DE"
  }
}

Input Parameters

Parameter	Type	Default	Description
position	String	—	Keywords / job title
location	String	—	City / region
startUrls	Array	—	Stepstone listing URLs
countryCode	String	de	de / at / ch / nl / be
maxItems	Integer	100	Max jobs (0 = unlimited subject to maxPages)
maxPages	Integer	20	Pagination safety cap
proxyConfiguration	Object	DE residential	Strongly recommended on Apify (datacenter IPs often blocked)

Output Format

Each dataset item is one job listing.

Field	Type	Description
jobId	String	Stepstone job id
url	String	Job detail URL
title	String	Job title
employer	String	Company name
location	String	Location text
salaryNote	String	Salary label when published
publishedAt	String	Posted date
workFromHome	Boolean	Remote / home-office flag when present
skills	Array	Skill labels
description	String	Listing snippet
source	String	Always stepstone

Example row:

{
  "jobId": "12345678",
  "url": "https://www.stepstone.de/stellenangebote/--12345678-inline.html",
  "title": "Softwareentwickler (m/w/d)",
  "employer": "Example GmbH",
  "location": "Berlin",
  "salaryNote": null,
  "publishedAt": "2026-08-01",
  "workFromHome": true,
  "skills": ["Java", "Spring"],
  "description": "Listing snippet…",
  "source": "stepstone"
}

Integration examples

Node.js

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor('crawloop/stepstone-jobs-scraper').call({
  position: 'Softwareentwickler',
  location: 'Berlin',
  maxItems: 50,
  countryCode: 'de',
  proxyConfiguration: {
    useApifyProxy: true,
    apifyProxyGroups: ['RESIDENTIAL'],
    apifyProxyCountry: 'DE',
  },
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items.slice(0, 5));

Python

from apify_client import ApifyClient

client = ApifyClient(token)
run = client.actor("crawloop/stepstone-jobs-scraper").call(
    run_input={
        "position": "Softwareentwickler",
        "location": "Berlin",
        "maxItems": 50,
        "countryCode": "de",
        "proxyConfiguration": {
            "useApifyProxy": True,
            "apifyProxyGroups": ["RESIDENTIAL"],
            "apifyProxyCountry": "DE",
        },
    }
)
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item.get("title"), item.get("employer"), item.get("url"))

cURL

curl "https://api.apify.com/v2/acts/crawloop~stepstone-jobs-scraper/runs?token=$APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"position":"Softwareentwickler","location":"Berlin","maxItems":50,"countryCode":"de"}'

MCP and AI assistants

Use this Actor from AI tools via Apify MCP. Connect your Apify account, then call crawloop/stepstone-jobs-scraper.

Example prompts:

• "Run Stepstone Jobs Scraper for Softwareentwickler in Berlin, max 50, and return title, employer, url as JSON"
• "Scrape Stepstone Pflege jobs in München and list the top hiring employers"
• "Pull Stepstone openings for Data Analyst in Wien, then add Germany public Jobbörse volume with Arbeitsagentur Jobs Scraper"

Suite next step

Collect commercial board openings here (keyword × city), then add Germany public Jobbörse volume with Arbeitsagentur Jobs Scraper.

FAQ

Is this an official Stepstone API?
No. It scrapes publicly available listing pages and returns structured dataset rows — a practical API-style export for pipelines.

Do I need a Stepstone login?
No — public listing cards only.

Why DE residential proxy?
Stepstone often blocks Apify datacenter IPs. Residential (DE) is the reliable default on the platform.

Can I scrape Austria / Switzerland / NL / BE?
Yes — set countryCode to at, ch, nl, or be, or pass matching startUrls.

How does this differ from Arbeitsagentur Jobs Scraper?
Arbeitsagentur covers Germany’s public BA Jobsuche. This Actor covers the commercial Stepstone board (DACH + optional NL/BE).

Python / Node.js / MCP?
Yes — use the Apify client examples above or Apify MCP prompts.

Related Actors

Actor	Focus
Stepstone Jobs Scraper ◄── you are here	Commercial DACH job board listings
Arbeitsagentur Jobs Scraper	Germany BA Jobsuche
Trustpilot Scraper	Review monitoring
WLW Scraper	DACH B2B supplier directory