A powerful real estate data scraper designed to extract accurate, structured property listings from Propertyfinder across multiple countries. It helps analysts, investors, and businesses collect large-scale listing data while enabling monitoring, delisting tracking, and full property insights. This Propertyfinder scraper delivers high-volume, clean datasets ideal for analytics, automation, and property market intelligence.
Created by Bitbash, built to showcase our approach to Scraping and Automation!
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The Propertyfinder Scraper automates the extraction of real estate listings from Propertyfinder’s regional portals. It solves the challenge of manually collecting large amounts of property data, especially when monitoring changes or tracking new listings. It is built for real estate analysts, data engineers, investors, proptech tools, and automation workflows requiring reliable and scalable data retrieval.
- Supports all major Propertyfinder country portals in one tool.
- Extracts full property details including agent, broker, amenities, coordinates, and similar transactions.
- Offers monitoring mode for incremental updates.
- Allows delisting tracking to determine when a property is removed.
- Accepts both list URLs and individual property URLs.
| Feature | Description |
|---|---|
| Multi-country support | Scrapes Propertyfinder portals from UAE, Qatar, Bahrain, Egypt, and Saudi Arabia. |
| Full property extraction | Collects rich data including amenities, agent info, broker info, similar transactions, and images. |
| Monitoring mode | Scrapes only newly added properties after the initial run. |
| Delisting tracker | Tracks property availability across runs using time-based key-value logging. |
| Unit number retrieval | Integrates with unit-number extraction logic when enabled. |
| Parallel scraping | Supports multi-threaded property crawling. |
| Deduplication | Removes duplicate properties automatically, even across multiple list URLs. |
| Supports direct URLs | Accepts both search result URLs and single property URLs. |
| Field Name | Field Description |
|---|---|
| id | Unique listing ID from Propertyfinder. |
| url | Direct URL to the property listing. |
| title | Title of the property listing. |
| displayAddress | Formatted address of the property. |
| bedrooms | Number of bedrooms. |
| bathrooms | Number of bathrooms. |
| agent | Name of the agent handling the listing. |
| agentPhone | Contact number of the agent. |
| broker | Name of the brokerage agency. |
| permit_number | Official permit or RERA number. |
| propertyType | Category such as apartment, villa, townhouse. |
| price | Listing price. |
| furnishing | Furnishing status. |
| coordinates | Latitude and longitude of the property. |
| images | Array of property image URLs. |
| similarTransactions | Comparable sales or rental values. |
| description | Plain-text description of the property. |
| descriptionHTML | HTML-formatted version of the description. |
| features | Amenities and property features. |
| propertyAge | Approximate age of the property if available. |
| sizeMin | Property size or area. |
| listingDate | Date the listing was added. |
| agentInfo | Structured block with full agent details. |
| brokerInfo | Structured block with brokerage details. |
{
"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,
"reference": "goldenrose-4393236",
"permit_number": "6533910000",
"agentBrn": "CN-1761158",
"freehold": true,
"completionDate": null,
"price": 4900000,
"coordinates": { "latitude": 25.246215, "longitude": 55.441623 },
"type": "sale",
"sizeMin": "15,000 sqft",
"furnishing": "NO",
"features": [
"Unfurnished",
"Built in Wardrobes",
"Covered Parking",
"Maids Room",
"Private Garden",
"Study"
],
"agentInfo": {
"id": "215858",
"image": "https://www.propertyfinder.ae/images/pf_agent/picture/16f48a2b818cefb651d0dff1aa711434a852ebfd/desktop",
"is_super_agent": false,
"name": "Muhammad Numan Siddique",
"email": "numansiddique@taurusfloor.ae",
"languages": ["English", "Hindi", "Urdu", "Punjabi"],
"total_properties": 33
},
"brokerInfo": {
"id": "5928",
"name": "Taurus Real Estate",
"address": "Office 232, Al Nahda St, Dubai",
"email": "yaseen@taurusfloor.aa",
"phone": "0554539438"
},
"description": "Waed Aleasria Properties LLC Is delighted To Present...",
"images": [
"https://www.propertyfinder.ae/property/9973339...jpg",
"https://www.propertyfinder.ae/property/bed4d0...jpg"
]
}
Propertyfinder Scraper/
├── src/
│ ├── main.py
│ ├── extractors/
│ │ ├── property_parser.py
│ │ ├── list_parser.py
│ │ └── utils_coordinates.py
│ ├── processors/
│ │ ├── dedupe.py
│ │ ├── monitoring.py
│ │ └── delisting_tracker.py
│ ├── outputs/
│ │ ├── exporter_json.py
│ │ ├── exporter_csv.py
│ │ └── formatter.py
│ └── config/
│ └── settings.example.json
├── data/
│ ├── input_urls.sample.json
│ └── sample_output.json
├── tests/
│ ├── test_parser.py
│ ├── test_monitoring.py
│ └── test_deduplication.py
├── requirements.txt
└── README.md
- Real estate analysts use it to collect market-wide listing data, enabling price trend research and valuation modeling.
- Proptech platforms integrate it to automatically refresh their property databases with fresh listings.
- Investors monitor new listings to identify opportunities early and track price changes.
- Agencies use monitoring mode to detect newly listed or removed competitor properties.
- Data scientists build predictive models using historical and comparable transaction data collected by the scraper.
Q: Can I scrape both search result pages and individual properties? Yes, the scraper accepts both list URLs and specific property URLs.
Q: Does it support incremental updates? Yes, enabling monitoring mode will only retrieve newly added listings after the initial full run.
Q: What if my listing URL contains more than 25K results? Break it into smaller geographic segments to stay within platform limitations. The scraper automatically deduplicates overlapping results.
Q: How does delisting tracking work? When enabled, each property ID is tagged with a “last seen” timestamp. If a property isn’t seen in the latest run, it’s considered delisted.
Primary Metric: Processes thousands of listings per minute using parallel threads, maintaining steady throughput even at scale.
Reliability Metric: Consistently achieves above 98% success rate in retrieving full property details across all supported countries.
Efficiency Metric: Optimized to run on 2 GB memory with minimal overhead; optional features increase usage proportionally.
Quality Metric: Delivers structured data with over 95% field completeness, including high accuracy for coordinates, agent data, and pricing.
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