How to Scrape StepStone Job Postings (Germany, Salary, No Login)

Run it now, no code: stepstone-jobs-scraper on the Apify Store  |  $3.00 per 1,000 jobs  |  no account or login needed

StepStone is Germany's leading job board, covering postings from skilled trades to senior management and IT positions. It has no public export and no official API for third parties. This guide shows how to get StepStone job postings as clean structured data: title, company, salary when published, remote policy, location and full description, with a free Apify Actor, fast and cheap, from the console or from code.

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What you get from the StepStone scraper

• Every job posting matching your keywords and location, with title, employment type and remote policy.
• Salary range (salaryMin, salaryMax, salaryCurrency, salaryPeriod) when the employer publishes one.
• Hiring company name, industry and office location (city, postal code).
• Full job description as plain text, with posting and expiry dates.

Export the dataset as JSON, CSV or Excel, or read it through the Apify API. A real sample (five results) is in sample-output.json.

Output fields

Field	What it is
id, url	StepStone job id and public link
title	Job title
companyName, industry	Hiring company and its industry
city, postalCode, country	Office location
remote	Whether the posting is flagged as remote-friendly
salaryMin, salaryMax, salaryCurrency, salaryPeriod	Salary range, when published
employmentType	Contract type (FULL_TIME, PART_TIME...)
datePosted, validThrough	Publication date and expiry date
description	Plain text job description

Use cases

• Monitor the German job market. New postings by job title and city, with remote-work policy on every record.
• Feed a job alert or an aggregator. Run it daily on a title and dedupe by id to catch only the new postings.
• Find companies that are hiring. See which employers recruit for a given role right now, in which city.
• Benchmark salaries. Published salary ranges by role, where the employer discloses them.

Input

Field	What it does
keywords	Job title or skill, for example softwareentwickler or pflegefachkraft. Empty rotates through common job titles in major German cities.
location	German city. Only used together with keywords; empty searches nationwide.
maxItems	The run stops once this many postings are saved (default 50).
includeDescriptions	Adds the full job description as plain text.

Example input:

{
  "keywords": "softwareentwickler",
  "location": "Berlin",
  "maxItems": 50,
  "includeDescriptions": true
}

Three ways to use it

1. Apify console, no code

1. Open the Actor page and click Try for free (a free Apify account is enough).
2. Fill in your keywords and location and click Start.
3. When the run finishes, open the Output tab, check the table, then Export as CSV, Excel or JSON.
4. For a daily alert, open Schedules, create a daily schedule for the Actor and, optionally, add an integration that sends new postings to Slack, e-mail or Google Sheets.

2. Apify API with JavaScript

npm install apify-client
export APIFY_TOKEN="your token from Apify console, Settings, Integrations"
node examples/run.js

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: process.env.APIFY_TOKEN });

const run = await client.actor('bibian/stepstone-jobs-scraper').call({
    "keywords": "softwareentwickler",
    "location": "Berlin",
    "maxItems": 50,
    "includeDescriptions": true
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
for (const item of items) {
    console.log(`${item.title} | ${item.companyName} | ${item.city} | ${item.salaryMin ?? '-'}-${item.salaryMax ?? '-'} ${item.salaryCurrency ?? ''}`);
}

The complete file is examples/run.js (ES module, Node 18 or later).

3. Apify API with Python

pip install apify-client
export APIFY_TOKEN="your token from Apify console, Settings, Integrations"
python examples/run.py

import os
from apify_client import ApifyClient

client = ApifyClient(os.environ["APIFY_TOKEN"])

run = client.actor("bibian/stepstone-jobs-scraper").call(run_input={
    "keywords": "softwareentwickler",
    "location": "Berlin",
    "maxItems": 50,
    "includeDescriptions": True,
})

for item in client.dataset(run.default_dataset_id).iterate_items():
    print(f"{item['title']} | {item.get('companyName')} | {item.get('city')} | {item.get('salaryMin')}-{item.get('salaryMax')} {item.get('salaryCurrency') or ''}")

The complete file is examples/run.py. Never put your token in the code: read it from the APIFY_TOKEN environment variable as above.

Pricing

Pay per result: $3.00 per 1,000 jobs (that is $0.003 per job posting), plus a tiny start fee of $0.00005 per run. You pay only for the results saved to the dataset. Apify's free plan includes monthly credits, enough to try it on a few hundred results. Prices are those shown on the Store page when this guide was written; the Store page is the reference.

Limits and honest notes

• StepStone's own pagination (?page=) is off-limits to robots; this actor instead rotates through job title and city combinations, each its own first page of results.
• Results follow StepStone's own search, so a city search can include a few postings from nearby or related places.
• Salary fields are empty when the employer does not publish a figure (common on this site).
• Only the hiring company and office location are collected: no recruiter or employee personal data.
• This is an unofficial tool, not affiliated with StepStone. Check the site terms and the data protection rules that apply to your use.

FAQ

Does it need a browser or a proxy?
Not for most runs. The Actor climbs its own anti-bot ladder automatically (plain request, then Apify Proxy, then a browser-grade fingerprint) only when a request is actually blocked, instead of always paying for the most expensive route. Any extra cost is already included in the price.

How do I only get new postings every day?
Schedule the Actor once a day with your usual keywords and location. Results come newest first, so duplicates across runs are easy to filter out by id.

Does it collect recruiter contact details?
No. Only the hiring company's public details (name, industry) and the office location are collected, never an individual's data. A line that carries a recruiter's e-mail address is dropped from the description before it is saved.

Try it

Open stepstone-jobs-scraper on the Apify Store

The code in examples/ is released under the MIT license (see LICENSE). The data belongs to its original publishers.