StepStone Jobs Scraper - Cheap 💼

StepStone Jobs Scraper (Fast & Cheap) 💼

🚀 The StepStone Jobs Scraper lets you retrieve job listings from StepStone.de with ease and precision!

Whether you're a job seeker, market analyst, or developer, this tool helps you fetch the most relevant job offers by simply entering a keyword, location, sort order, radius, and the maximum number of listings to fetch.

✅ What You Get:

1Job Title 📛
2
3Company Name 🏢
4
5Job Location 📍
6
7Posting Date 📅
8
9Job Offer Link 🌐
10
11Company URL 🔗
12
13Company Logo 🖼️
14
15Salary 💸
16
17Work-from-Home Availability 🌍
18
19Job Snippet 📝

Key Features ✨🚀

• Extract Job Listings from StepStone.de based on specific filters 🔍

• Fast and Lightweight ⚡

• Output in Various Formats (JSON, CSV, XML, HTML Table) 🧾

• Supports German Language and Multilocation Jobs 🇩🇪

• Easy-to-use Input Fields 🎯

• Remote Work Filter 🏠

🛠️ How It Works:

• Set Your Parameters: Provide search keyword, location, sort order (Relevance or Date), radius (e.g., "50 km"), and max number of items (e.g., 150).

• Start the Scraper: Launch the scraping operation.

• Data Extraction: The scraper gathers job listings from StepStone based on your criteria.

• Export & Analyze: Download your results in your preferred format.

💡 Why Use StepStone Scraper?

1Save Time by automatically collecting job data
2
3Analyze Job Market Trends across regions and sectors
4
5Boost Job Hunt Efficiency with focused results
6
7Track Remote Job Growth and hybrid options
8
9Feed SEO Content into job boards or analytics platforms

💸 Pricing

This scraper operates on a pay-per-month basis at a cost of $19.49/month.

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🔑 StepStone Scraper Input ⚡💬

The StepStone scraper expects the following input (in Python or JSON):

1{
2    keyword = "ai"
3    place = "Berlin Kreuzberg"
4    sort_by = "Date"  # Options: "Relevance", "Date"
5    rayon = "50 km"   # Options: "Any", "5 km", "10 km", "20 km", "30 km", etc.
6    maxitems = 150
7
8}

📊 StepStone Scraper Output Example

After running the scraper, you’ll get detailed job listings data in various formats (JSON, CSV, XML, etc.). Here is an example of the output format:

1[
2    {
3        "id": 12448274,
4        "title": "Senior Java Entwickler mit Fokus auf AI (m/w/d)",
5        "company": "mgm technology partners GmbH",
6        "location": "Aachen, Berlin, Hamburg, Köln, Leipzig, München-Nord, München-Süd",
7        "date_posted": "2025-04-29T06:48:08+02:00",
8        "url": "https://www.stepstone.de/stellenangebote--Senior-Java-Entwickler-mit-Fokus-auf-AI-m-w-d-Aachen-Berlin-Hamburg-Koeln-Leipzig-Muenchen-Nord-Muenchen-Sued-mgm-technology-partners-GmbH--12448274-inline.html?rltr=1_1_25_seorl_m_0_0_0_0_1_0",
9        "company_url": "https://www.stepstone.de/cmp/de/mgm-technology-partners-gmbh-58948/jobs",
10        "logo": "https://www.stepstone.de/upload_de/logo/5/logomgm-technology-partners-GmbH-58948DE-2307251341.gif",
11        "salary": "",
12        "work_from_home": "2",
13        "snippet": "Sei Teil der Transformation von einem Projekt- hin zu einem hybriden Projekt- und Produkthaus als Senior Java Entwickler mit Fokus auf <strong>AI</strong>..."
14    }
15]

📫 Support

😊 Leave us a ⭐⭐⭐⭐⭐ if you are satisfied with the product! 🌍 For any questions, specific needs or issues, please reach out through Apify's platform or via email - Storm_Scraper 🌪️🌩️