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Propertyfinder Scraper

A powerful real estate data scraper that extracts complete property listings from Propertyfinder portals across the UAE and other supported countries. Designed for high-volume property research, analytics, and automation, it delivers clean, structured data at scale.

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Introduction

The Propertyfinder Scraper collects residential and commercial property listings from multiple Propertyfinder country portals. It solves the challenge of manually navigating thousands of listings and provides structured, export-ready datasets. This tool is ideal for analysts, real-estate companies, investors, data engineers, and automation workflows.

Why Use an Automated Propertyfinder Scraper?

  • Eliminates manual browsing of thousands of listings.
  • Captures complete property, agent, and broker details.
  • Supports incremental monitoring of newly added listings.
  • Extracts high-accuracy geo-coordinates and structured attributes.
  • Enables consistent, automated real estate market intelligence.

Features

Feature Description
Full Listing Extraction Retrieves all listings from any Propertyfinder search URL.
Individual Property Scraping Accepts direct property URLs for targeted extraction.
Multi-Country Support Works with .ae, .qa, .bh, .eg, .sa Propertyfinder domains.
Monitoring Mode Detects new listings since the last run automatically.
Delisting Tracking Identifies removed or expired listings over time.
Unit Number Retrieval Integrates with unit-number finder logic when enabled.
Similar Transactions Extracts property transaction history where available.
Parallel Processing Scrapes faster with multi-threaded runtime support.

What Data This Scraper Extracts

Field Name Field Description
id Unique property identifier.
url Direct link to the property listing.
title Main listing headline.
displayAddress Location text displayed on listing.
bathrooms Number of bathrooms.
bedrooms Number of bedrooms.
addedOn Date the listing was added.
broker Brokerage/company name.
agent Listing agent name.
agentPhone Agent contact number.
permit_number Legal permit number.
agentBrn Agent BRN identifier.
freehold Whether the property is freehold.
completionDate Project completion date if available.
price Listing price.
propertyType Apartment, villa, townhome, etc.
coordinates Latitude/longitude details.
furnishing Furnishing status.
features List of property amenities.
description Raw text description.
descriptionHTML Formatted HTML description.
images Array of images.
similarTransactions Recent buy/rent transaction history.
agentInfo Full agent profile metadata.
brokerInfo Brokerage profile metadata.

Example Output

{
  "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,
  "price": 4900000,
  "coordinates": { "latitude": 25.246215, "longitude": 55.441623 },
  "features": [ "Unfurnished", "Built in Wardrobes", "Covered Parking" ],
  "images": [
    "https://www.propertyfinder.ae/property/.../9523636-9ad25o.jpg",
    "https://www.propertyfinder.ae/property/.../9523636-58dbdo.jpg"
  ],
  "agentInfo": {
    "name": "Muhammad Numan Siddique",
    "email": "numansiddique@taurusfloor.ae",
    "languages": [ "English", "Hindi", "Urdu", "Punjabi" ]
  },
  "brokerInfo": {
    "name": "Taurus Real Estate",
    "license_number": "794945"
  }
}

Directory Structure Tree

Propertyfinder Scraper/
├── src/
│   ├── runner.py
│   ├── extractors/
│   │   ├── listing_parser.py
│   │   ├── property_parser.py
│   │   └── utils_geo.py
│   ├── outputs/
│   │   ├── dataset_writer.py
│   │   └── exporters.py
│   └── config/
│       └── settings.example.json
├── data/
│   ├── input.sample.json
│   └── sample_output.json
├── requirements.txt
└── README.md

Use Cases

  • Real estate analysts use it to gather large-scale market data so they can track pricing trends and neighborhood performance.
  • Property investment firms use it to monitor new listings, identifying off-market or under-priced opportunities faster.
  • Brokerage teams use automated data extraction to enrich internal CRMs and streamline listing management.
  • Data engineers integrate the scraper into pipelines to power dashboards and forecasting models.
  • Researchers extract structured datasets for academic or market studies.

FAQs

Q: Can I scrape multiple Propertyfinder countries? Yes. The scraper supports UAE, Qatar, Bahrain, Egypt, and Saudi Arabia Propertyfinder portals.

Q: What if my search result exceeds 25,000 listings? Propertyfinder limits listing pages to 25K results. Break the search into smaller geographic filters to collect all results.

Q: Does it detect delisted properties? Yes. Delisting tracking is available using timestamp comparison across scraping runs.

Q: Can I extract unit numbers? Yes—enable the unit-retrieval option to fetch building unit numbers when supported.


Performance Benchmarks and Results

Primary Metric: Processes an average of 3,000–6,000 listings per minute with multi-threading enabled.

Reliability Metric: Maintains a 98%+ stable extraction rate across mixed domains and listing types.

Efficiency Metric: Optimized for 2 GB memory usage, sustaining high throughput even during long runs.

Quality Metric: Delivers 95%+ field completeness on property, broker, and agent attributes, including coordinates and media sets.

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