Wonglueck Parser Spider

Introduction

The Wonglueck Parser Spider is a powerful Apify Actor designed to scrape and extract detailed property data from Wohnglueck.de, a leading German real estate platform. It automates the collection of property listings, enabling users to gather comprehensive information on apartments, houses, and other real estate offerings efficiently. This tool is ideal for real estate professionals, researchers, and businesses seeking reliable data for market analysis, investment decisions, and portfolio management.

Features

• Comprehensive Data Extraction: Scrapes key property details including prices, locations, descriptions, and images from Wohnglueck.de listings.
• High Reliability: Built with robust error handling to ensure consistent data retrieval even from dynamic web pages.
• Scalable Performance: Supports batch processing of multiple URLs, making it suitable for large-scale data collection.
• Customizable Inputs: Flexible configuration options to target specific properties or regions.
• JSON Output: Delivers structured data in JSON format for easy integration with databases, analytics tools, or APIs.
• Apify Integration: Seamlessly runs on the Apify platform with built-in monitoring, scheduling, and export capabilities.
• Data Quality Assurance: Filters out irrelevant content and ensures clean, actionable datasets.

Input Parameters

Parameter	Type	Required	Description	Example
Urls	array	No	A list of URLs from Wohnglueck.de to scrape property data from. Each URL should point to a specific property page.	["https://wohnglueck.de/property/817376", "https://wohnglueck.de/property/123456"]

Example Usage

To run the Wonglueck Parser Spider, provide the input in JSON format as shown below:

{
  "Urls": [
    "https://wohnglueck.de/property/817376"
  ]
}

Example output (structured JSON with property details):

{
  "propertyId": "817376",
  "title": "Modern Apartment in Berlin",
  "price": "€1,200/month",
  "location": "Berlin, Germany",
  "description": "A spacious 2-bedroom apartment with modern amenities.",
  "images": ["https://wohnglueck.de/image1.jpg", "https://wohnglueck.de/image2.jpg"],
  "features": ["Balcony", "Parking", "Pet-friendly"]
}

Use Cases

• Market Research and Analysis: Gather data on property prices and trends in specific German cities for investment reports.
• Competitive Intelligence: Monitor competitors' listings to benchmark pricing and features.
• Price Monitoring: Track rental or sale prices over time for dynamic pricing strategies.
• Content Aggregation: Build databases of real estate listings for websites or apps.
• Academic Research: Collect data for studies on housing markets, urbanization, or economic indicators.
• Business Automation: Automate lead generation for real estate agents by extracting contact details and property specs.

Installation and Usage

1. Search for "Wonglueck Parser Spider" in the Apify Store.
2. Click "Try for free" or "Run".
3. Configure input parameters (e.g., list of URLs).
4. Click "Start" to begin extraction.
5. Monitor progress in the log.
6. Export results in your preferred format (JSON, CSV, Excel).

Output Format

The Actor outputs data in JSON format, with each scraped property represented as an object. Key fields include:

• propertyId: Unique identifier for the property.
• title: The property's headline title.
• price: Rental or sale price.
• location: Address or city details.
• description: Detailed property description.
• images: Array of image URLs.
• features: List of amenities or features.

This structured output ensures easy parsing and integration.

Error Handling

The Actor includes built-in error handling for common issues like invalid URLs, network timeouts, or page changes. If a URL fails, it logs the error and continues with others. For persistent issues, check the Apify console logs for details. Ensure URLs are correctly formatted and accessible.

Rate Limiting and Best Practices

Apify enforces rate limits to prevent overloading target sites; respect these to avoid bans. Best practices include:

• Limit concurrent runs to 1-2 for optimal performance.
• Use proxies if needed for high-volume scraping.
• Schedule runs during off-peak hours.
• Validate inputs before execution to minimize errors.

Limitations and Considerations

• Only scrapes public Wohnglueck.de pages; login-required content is not accessible.
• Output may vary based on site updates; monitor for changes.
• Large URL lists may increase runtime; batch accordingly.
• Ensure compliance with Wohnglueck.de's terms of service and legal regulations on data scraping.

Support

For custom/simplified outputs or bug reports, please contact:

• Email: support@getdataforme.com
• Subject line: "custom support"
• Contact form: https://getdataforme.com/contact/

We're here to help you get the most out of this Actor!

---