A powerful real estate scraper built to extract structured property data from Propertyfinder portals. It automates multi-page listing crawling, retrieves detailed property information, and supports incremental monitoring for market-aware workflows. Ideal for analysts, agencies, and automation pipelines needing accurate Propertyfinder data at scale.
Created by Bitbash, built to showcase our approach to Scraping and Automation!
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The Propertyfinder Scraper collects detailed real estate listings from Propertyfinder country portals, supporting both search-result URLs and individual property URLs. It solves the problems of manual data collection, missing listing updates, and inconsistent property information — providing clean, machine-ready datasets. This tool is designed for data engineers, analysts, real estate professionals, investors, and automation builders.
- Retrieves complete property details including agent, broker, geolocation, amenities, images, and transaction history.
- Supports incremental scraping to capture new listings only.
- Provides delisting detection for market-tracking applications.
- Works across multiple Propertyfinder regional portals.
- Outputs structured datasets ready for analytics, dashboards, or ingestion.
| Feature | Description |
|---|---|
| Multi-URL Scraping | Accepts search result URLs or individual property URLs. |
| Full Property Details | Extracts extensive metadata including agent, broker, amenities, and images. |
| Monitoring Mode | Captures only newly added properties across runs. |
| Delisting Tracking | Detects properties that disappear from the platform. |
| Deduplication | Eliminates overlapping results across multiple list URLs. |
| Flexible Export Formats | JSON, CSV, Excel, XML, RSS, HTML outputs. |
| Unit Number Retrieval | Integrated lookup for Dubai unit numbers when enabled. |
| Parallel Processing | Multi-threaded scraping for faster performance. |
| Field Name | Field Description |
|---|---|
| id | Unique property identifier. |
| url | Direct link to the property listing. |
| title | Title or headline of the listing. |
| displayAddress | Formatted address as shown publicly. |
| bathrooms | Number of bathrooms. |
| bedrooms | Number of bedrooms. |
| addedOn | Date the property was listed. |
| broker | Broker or agency name. |
| agent | Listing agent's name. |
| agentPhone | Contact number of the agent. |
| permit_number | Official permit or license number. |
| coordinates | Latitude and longitude pair. |
| price | Property price or rental amount. |
| furnishing | Furnishing status. |
| features | Array of amenities/features. |
| images | Collection of image URLs. |
| similarTransactions | Historical buy/rent transaction data. |
| agentInfo | Extended metadata about the agent. |
| brokerInfo | Extended metadata about the broker. |
| description | Full text description. |
| descriptionHTML | HTML-formatted version of description. |
{
"id": "9523636",
"url": "https://www.propertyfinder.ae/en/plp/buy/villa-for-sale-dubai-al-mizhar-al-mizhar-1-9523636.html",
"title": "Huge 6 Bedrooms Villa for Sale On Prime Location",
"displayAddress": "Al Mizhar 1, Al Mizhar, Dubai",
"bathrooms": 6,
"bedrooms": 6,
"addedOn": "2023-09-25T07:13:30+00:00",
"broker": "WAED ALEASRIA PROPERTIES",
"agent": "Jihad Itani",
"agentPhone": "+971506312497",
"verified": false,
"price": 4900000,
"coordinates": { "latitude": 25.246215, "longitude": 55.441623 },
"furnishing": "NO",
"features": ["Unfurnished","Built in Wardrobes","Covered Parking"],
"images": ["https://www.propertyfinder.ae/property/99733391..."],
"similarTransactions": {
"buy": [
{ "amount": 1510000, "date": "2024-02-06T00:00:00+00:00", "size": 649 }
]
}
}
Propertyfinder Scraper/
├── src/
│ ├── runner.py
│ ├── extractors/
│ │ ├── propertyfinder_parser.py
│ │ ├── parser_utils.py
│ ├── outputs/
│ │ └── exporters.py
│ └── config/
│ └── settings.example.json
├── data/
│ ├── inputs.sample.json
│ └── sample-output.json
├── requirements.txt
└── README.md
- Real estate analysts use it to collect property market data, so they can track pricing trends and supply changes.
- Agencies use it to monitor competitor listings, so they can react quickly to market movements.
- Investors use it to evaluate opportunities, so they can compare neighborhoods and property types.
- Data engineers automate ingestion pipelines, so dashboards remain updated without manual effort.
- Market researchers study historical listing behavior, so they can analyze delisting patterns and activity cycles.
Q: Can I scrape both search result pages and individual property pages? Yes — you can provide either search listing URLs or a list of individual property URLs.
Q: How does monitoring mode work? The scraper records previously seen properties and only outputs newly added listings in subsequent runs.
Q: Can I detect which properties were removed from the website? Yes — when delisting tracking is enabled, the scraper updates timestamps and identifies properties no longer present.
Q: Does it support multiple Propertyfinder country sites? Yes — it works for AE, QA, BH, EG, and SA regional portals.
Primary Metric: Scrapes an average of 1,000–1,500 properties per minute depending on thread count and detail level.
Reliability Metric: Maintains a 98%+ successful extraction rate across diverse listing types and regions.
Efficiency Metric: Optimized for 2 GB memory footprints, handling multi-threaded scraping without unnecessary overhead.
Quality Metric: Achieves high data completeness, consistently capturing 95–100% of fields including nested agent/broker metadata.
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