You can access the Stepstone.de Job Scraper — Keyword & Location Search + Salary programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in API & Integrations in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = { "proxyConfiguration": {
9        "useApifyProxy": True,
10        "apifyProxyGroups": ["RESIDENTIAL"],
11        "apifyProxyCountry": "DE",
12    } }
13
14# Run the Actor and wait for it to finish
15run = client.actor("mind_momentum/stepstone-jobs").call(run_input=run_input)
16
17# Fetch and print Actor results from the run's dataset (if there are any)
18print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
19for item in client.dataset(run.default_dataset_id).iterate_items():
20    print(item)
21
22# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

Stepstone.de Job Scraper — Keyword & Location Search + Salar API in Python

The Apify API client for Python is the official library that allows you to use Stepstone.de Job Scraper — Keyword & Location Search + Salary API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

$pip install apify-client

Other API clients include:

Stepstone.de Job Scraper — Keyword & Location Search + Salary API in JavaScript

Stepstone.de Job Scraper — Keyword & Location Search + Salary API through CLI

Stepstone.de Job Scraper — Keyword & Location Search + Salary OpenAPI definition

Stepstone.de Job Scraper — Keyword & Location Search + Salary API

StepStone Jobs Scraper

ambitious_silo/stepstone-jobs-scraper

Scrape job listings from stepstone.de. Search by keyword and location. Returns title, company, location, posting date, and direct links.

Ambition Silo

🏆 Best Cheapest StepStone Job Scraper 🏆

claygenius/best-cheapest-stepstone-job-scrapper

Scrape job listings from StepStone.de by keyword, location, or search URL. Structured JSON output with title, company, location, salary, and apply link. Requires a German proxy.

Muhammad Shamshad Aslam

StepStone Scraper - Europe Jobs Data

benthepythondev/stepstone-scraper

Scrape StepStone job listings (Germany, UK, Austria, Belgium, Netherlands): job title, company, location, posted date, remote/work-from-home flag, salary and listing URL. Search by keyword, location or StepStone URL.

Ben

StepStone Scraper - Germany Job Listings

scrapesage/stepstone-scraper

Scrape job listings from stepstone.de search URLs: title, company, location, salary, work model, posted date and apply link. Bypasses StepStone's anti-bot protection. Paste search URLs or import a file.

Scrape Sage

StepStone Jobs Scraper

khadinakbar/stepstone-jobs-scraper

Scrape StepStone.de job postings — title, company, salary range, skills, location, apply URL. MCP-ready, HTTP-only.

Khadin Akbar

StepStone Jobs Scraper

datascrapers/stepstone-jobs-scraper

Scrapes job listings from StepStone (stepstone.de and other StepStone sites). Supports direct search URLs or keyword/location/filter input with pagination.

Farhan Ali

StepStone Jobs Scraper 🎯

easyapi/stepstone-jobs-scraper

🎯 Extract detailed job listings from StepStone.de with comprehensive information including job titles, company details, locations, and salary data. Perfect for recruitment analysis, market research, and job market monitoring.

EasyApi

735

2.6

StepStone Jobs Scraper — Salary, Company & Full Job Details

haketa/stepstone-scraper

Scrape job listings from StepStone across DACH & Benelux — title, company, location, salary, contract type, description and apply URL.

Haketa

StepStone Jobs Scraper — Titles, Companies, Locations

hipersoft/stepstone-scraper

Scrape jobs from StepStone (stepstone.de) by keyword and location: job title, company, location, remote/home-office flag, posted time, apply link and a description snippet. Fast clean HTTP. For recruiting, job boards and labor-market research.