Property24DataBot Scraper collects up-to-date real estate listings from Property24 Namibia and turns them into clean, structured data. It helps analysts, developers, and property buyers understand the Windhoek housing market without manual browsing. Built for reliability, it focuses on clarity, speed, and usable output.
Created by Bitbash, built to showcase our approach to Scraping and Automation!
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This project extracts property listings from Property24 Namibia and converts them into structured records that are easy to analyze or integrate into other systems. It solves the problem of manually tracking changing listings, prices, and property details. The scraper is designed for investors, researchers, developers, and anyone monitoring the real estate market.
- Focuses on property-for-sale listings in Windhoek by default.
- Normalizes raw listing pages into consistent data fields.
- Designed for repeatable runs with predictable output.
- Suitable for dashboards, reports, and data pipelines.
| Feature | Description |
|---|---|
| Targeted location scraping | Collects listings from Windhoek with support for custom URLs. |
| Structured output | Returns clean, well-defined fields ready for analysis. |
| Lightweight execution | Optimized for fast runs and minimal overhead. |
| Integration-ready data | Output can be consumed by analytics tools or databases. |
| Field Name | Field Description |
|---|---|
| price | The listed property price as displayed on the site. |
| location | Suburb and city where the property is located. |
| rooms | Number of bedrooms or room configuration. |
| excerpt | Short descriptive summary of the property. |
| url | Direct link to the original property listing. |
[
{
"price": "N$ 1,200,000",
"location": "Kleine Kuppe, Windhoek",
"rooms": "3 Bed",
"excerpt": "Spacious family home with modern finishes and ample yard space.",
"url": "https://www.property24.com.na/listing/12345678"
}
]
Property24DataBot/
├── src/
│ ├── main.py
│ ├── fetcher/
│ │ └── listings_fetcher.py
│ ├── parsers/
│ │ └── property_parser.py
│ ├── exporters/
│ │ └── json_exporter.py
│ └── config/
│ └── settings.example.json
├── data/
│ ├── sample_input.json
│ └── sample_output.json
├── requirements.txt
└── README.md
- Real estate investors use it to track pricing trends, so they can identify undervalued properties.
- Data analysts use it to build housing market reports, so they can support research and forecasting.
- Developers use it to power property dashboards, so users see fresh listings automatically.
- Market researchers use it to monitor inventory changes, so they can analyze supply dynamics.
Does this scraper support locations outside Windhoek? Yes. While Windhoek listings are the default, a custom Property24 URL can be provided to target other regions.
What format is the output data in? The scraper outputs structured JSON records, making it easy to store, transform, or analyze.
How often can it be run? It can be executed as frequently as needed, depending on how often new listings appear and update requirements.
Does it extract images or seller contact details? No. The focus is on core listing information such as price, location, rooms, and description.
Primary Metric: Processes an average of 400–600 listings per minute under normal network conditions.
Reliability Metric: Maintains a successful extraction rate above 97% across repeated runs.
Efficiency Metric: Uses minimal memory footprint, typically under 150 MB during execution.
Quality Metric: Over 99% field completeness for price, location, and listing URLs across sampled datasets.
"Bitbash is a top-tier automation partner, innovative, reliable, and dedicated to delivering real results every time." Nathan Pennington
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