💼 Kimeta.de Job Scraper

Comprehensive job listing scraper for Kimeta.de, Germany's leading job search platform. Extract all matching job listings with full details including location coordinates, application contacts, and employment terms.

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🚀 What does this Actor do?

This Apify actor scrapes job listings from Kimeta.de and provides comprehensive job data for the German market. Simply provide your Kimeta.de search URLs and the actor will extract matching job listings with detailed information including geo-coordinates, application emails, and employment details.

The actor automatically expands searches without location parameters across multiple German cities, ensuring comprehensive coverage of the job market.

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✨ Features

• 🔍 Flexible Search: Scrape any Kimeta.de search results by providing your own URLs (with any filters you want).
• 🌍 Location Expansion: Automatically expands searches without location across 400+ German cities.
• 🚀 Parallel Processing: Process multiple locations simultaneously with configurable concurrency.
• 📍 Geo-coordinates: Extract latitude/longitude for each job location.
• 🔄 Deduplication: Automatically removes duplicate job listings.
• 📦 Structured Output: Results in JSON, ready for analysis or export.

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🛠️ How it works

1. Set your input: Provide one or more Kimeta.de search URLs in the startUrls field. Optionally configure parallel processing with maxConcurrentLocations.
2. Location Expansion: If your URL doesn't include a location parameter (loc), the actor will automatically create searches for 400+ German locations.
3. Pagination: The actor automatically handles all result pages for each search.
4. Run the actor: On the Apify platform or locally.
5. Get your data: Download unique, deduplicated results from the default dataset in JSON, CSV, or Excel.

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📝 Input Schema

Field	Type	Description	Required	Default
startUrls	array	List of Kimeta.de search URLs to scrape	Yes	-

Example input:

{
    "startUrls": [
        {
            "url": "https://www.kimeta.de/search?q=arzt"
        }
    ]
}

Example with specific location:

{
    "startUrls": [
        {
            "url": "https://www.kimeta.de/search?q=softwareentwickler&loc=10115+Berlin&r=10"
        }
    ]
}

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📤 Output Example

Each result contains details about a job listing with the following properties:

Property	Type	Description
Title	string	Job title
Postdate	string	Date when the job was first posted (DD.M.YYYY)
Company	string	Company/employer name
Location	string	Job location (city name without zip code)
Url	string	Full URL to the job listing
Id	string	Unique job listing ID
Longitude	string	Longitude coordinate of job location
Latitude	string	Latitude coordinate of job location
ZipCode	string	German postal code (5 digits)
Source	string	Data source (always "Kimeta")
FriendlyUrl	string	Relative URL path to the job listing
Country	string	Country code (always "DE" for Germany)
Status	string	Job status (always "new")
Et_apply_email	string	Email address for job applications
Display_type	string	Display type (e.g., "html", "ContentEngine")

Sample Output Object:

{
  "Title": "Assistenzarzt (m/w/d) Kinder und Jugendpsychiatrie",
  "Postdate": "1.3.2026",
  "Company": "FFD Fachkräfte für Deutschland e.V.",
  "Logo": "",
  "Location": "Dresden",
  "Url": "https://www.kimeta.de/display-job/ffd-fachkraefte-fuer-deutschland-e-v/assistenzarzt-m-w-d-kinder-und-jugendpsychiatrie/966787729.html",
  "Level": "",
  "Subject": "",
  "Id": "966787729",
  "Longitude": "13.7383757",
  "Latitude": "51.0762894",
  "Employer": "",
  "ZipCode": "01109",
  "Source": "Kimeta",
  "FriendlyUrl": "/display-job/ffd-fachkraefte-fuer-deutschland-e-v/assistenzarzt-m-w-d-kinder-und-jugendpsychiatrie/966787729.html",
  "Hash": "",
  "EtFeatured": "-3",
  "Country": "DE",
  "Status": "new",
  "Et_apply_email": "bewerbung@ffd-deutschland.de",
  "Display_type": "ContentEngine"
}

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🎯 Use Cases

• Job Market Analysis: Analyze job trends, salary ranges, and in-demand skills across Germany.
• Recruitment: Find qualified candidates and track job market competition.
• Career Research: Discover opportunities in specific industries or locations.
• Market Intelligence: Monitor competitor hiring activities and job posting strategies.
• Data Integration: Feed job data into your own platforms or applications.

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📚 Resources & Support

• Use the issues tab of the actor for support
• Apify Documentation
• Crawlee Documentation

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❓ FAQ

Q: Can I scrape jobs for a specific city or region? A: Yes! Include the loc parameter in your search URL with the city name and postal code (e.g., loc=10115+Berlin&r=10).

Q: What happens if I don't specify a location? A: The actor will automatically expand your search across 400+ German cities and aggregate all results.

Q: How does deduplication work? A: The actor uses unique job IDs to ensure each job listing appears only once in the output, even if it matches multiple location searches.

Q: What is the recommended maxConcurrentLocations value? A: The default value of 5 works well for most cases. Increase it for faster scraping, but be aware this may increase the Apify computing unit consumption.

Q: How long does a typical scrape take? A: This depends on the number of locations and jobs. A single location with ~100 jobs typically takes 2-5 minutes. Without a location filter, scraping all 400+ cities can take several hours.