Kleinanzeigen Real Estate Crawler

An Apify Actor that scrapes classified listings from kleinanzeigen.de. It's built for extracting property data for market analysis, research, and competitive intelligence, but can also handle other categories like cars or electronics.

Key Features

• Multi-category scraping: Target specific listing types (apartments, houses, cars, electronics).
• Configurable data extraction: Use default field selectors or provide custom XPath configurations.
• Automatic pagination: Crawls through multiple pages of results for each category.
• Built-in controls: Includes rate limiting and robust error handling to manage large scraping jobs.
• Pre-configured dataset views: Output includes filtered views (e.g., "Apartments Only") for easier analysis.

How to Use

Configure the Actor using input parameters. The only required input is the categories array, which defines the listings to scrape.

Basic Input Configuration

{
  "categories": [
    {
      "category": "apartment_berlin",
      "url": "https://www.kleinanzeigen.de/s-wohnung-kaufen/berlin/c196l3331",
      "pages": 5
    }
  ],
  "maxResults": 500
}

Input Parameters

• categories (Required): Array of objects, each with:
  • category: A label for the listings (e.g., "apartment").
  • url: The starting Kleinanzeigen URL for that category.
  • pages: Number of result pages to scrape.
• maxResults (Optional): Global limit on total items scraped. Default: 1000.
• maxPages (Optional): Global limit on pages per category. Default: 5.
• fieldConfig (Optional): Custom XPath selectors for data extraction. Uses sensible defaults if not provided.

Output Data

The Actor outputs structured JSON data for each listing. The default extracted fields include:

Example Output Item

{
  "id": "2751234567",
  "name": "Schöne 3-Zimmer-Wohnung mit Balkon",
  "location": "28195 Bremen",
  "postedDate": "Heute, 14:30",
  "area": "85 m²",
  "rooms": "3 Zimmer",
  "price": "320.000 €",
  "url": "https://www.kleinanzeigen.de/s-anzeige/schoene-3-zimmer-wohnung-mit-balkon/2751234567-196-1",
  "category": "apartment",
  "scraped_at": "2025-05-23T10:30:00.123456"
}

The dataset includes pre-configured views like "Overview" (all data), "Apartments Only," and "Houses Only" for filtered analysis.