A robust data extraction tool that collects detailed property listings from Homegate, Switzerland’s leading real estate marketplace. It streamlines large-scale property data collection for analysis, research, and investment insights while saving hours of manual work.
Created by Bitbash, built to showcase our approach to Scraping and Automation!
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The Homegate Property Search Scraper gathers structured property listing data from Homegate search result pages. It eliminates the need for manual browsing and enables consistent, repeatable data collection. This project is built for real estate professionals, investors, analysts, and researchers working with Swiss property data.
- Designed for large property inventories with thousands of listings
- Optimized for rental and purchase market analysis
- Supports structured, analytics-ready output
- Handles multi-page search results reliably
| Feature | Description |
|---|---|
| Automated Listing Extraction | Collects detailed property data from search result pages automatically. |
| Flexible Search Modes | Supports scraping via predefined URLs or dynamic search filters. |
| Scalable Processing | Handles multiple locations and pages with configurable limits. |
| Robust Error Handling | Retry logic ensures stability during temporary failures. |
| Market-Focused Design | Tailored specifically for Swiss real estate data structures. |
| Field Name | Field Description |
|---|---|
| id | Unique identifier for each property listing. |
| url | Direct link to the property detail page. |
| listing_type | Indicates rental, sale, or other listing category. |
| address | Full property address including city and postal code. |
| geo_coordinates | Latitude and longitude for mapping and spatial analysis. |
| price | Rental or sale price with currency information. |
| living_space | Total living area in square meters. |
| number_of_rooms | Number of rooms in the property. |
| characteristics | Property attributes such as balcony, floor, and year built. |
| localization | Multilingual titles and descriptions. |
| images | URLs of property images and media assets. |
[
{
"id": "4002154320",
"listing_type": "RENT",
"url": "https://www.homegate.ch/rent/4002154320",
"address": {
"street": "Birchlenstr. 37",
"locality": "Dübendorf",
"postal_code": "8600"
},
"geo_coordinates": {
"latitude": 47.3989497,
"longitude": 8.6118828
},
"price": {
"net": 2280,
"gross": 2610,
"currency": "CHF"
},
"living_space": 80,
"number_of_rooms": 3.5
}
]
Homegate Property Search Scraper/
├── src/
│ ├── main.py
│ ├── collectors/
│ │ ├── listing_collector.py
│ │ └── pagination_handler.py
│ ├── parsers/
│ │ ├── property_parser.py
│ │ └── localization_parser.py
│ ├── utils/
│ │ ├── retry.py
│ │ └── validators.py
│ └── config/
│ └── settings.example.json
├── data/
│ ├── sample_input.json
│ └── sample_output.json
├── requirements.txt
└── README.md
- Real estate agents use it to monitor market listings, so they can price properties competitively.
- Property investors use it to analyze trends, so they can identify high-potential locations.
- Market researchers use it to collect housing data, so they can study regional price movements.
- Consultants use it to build reports, so they can advise clients with data-backed insights.
Can I scrape properties by city without providing URLs? Yes. You can use search filters such as city, zipcode, category, and price range to generate listings automatically.
Does the scraper support both rental and purchase listings? Yes. It supports different listing types, including rent and buy, depending on your configuration.
How does it handle large result sets? The scraper processes paginated results and applies configurable limits to maintain stability and performance.
Is the output suitable for analytics tools? Yes. The structured JSON output is designed for direct use in analytics pipelines and dashboards.
Primary Metric: Processes up to 20 listings per search page with consistent extraction speed.
Reliability Metric: Achieves a high success rate through retry handling and resilient request logic.
Efficiency Metric: Optimized pagination minimizes redundant requests while maintaining throughput.
Quality Metric: Delivers high data completeness with rich property attributes and multilingual descriptions.
