Propertyfinder Scraper

A high-performance real estate data scraper for collecting Propertyfinder listings at scale. This tool captures detailed property information, monitors new listings, and identifies delisted properties with precision. Designed for real-estate analysts, data teams, and automation workflows needing accurate UAE property market intelligence.

     

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Introduction

The Propertyfinder Scraper automates extraction of residential and commercial property listings from Propertyfinder portals across the Middle East. It solves the challenge of manually tracking thousands of dynamic listings, giving users precise, structured, and frequently updated real-estate data. This scraper is ideal for investors, analysts, real-estate companies, and data engineers building automated property pipelines.

Why Use This Scraper?

• Collects complete property details including agent info, broker data, amenities, prices, coordinates, and more.
• Monitors new listings and identifies delisted ones over time.
• Supports all regional Propertyfinder portals in one unified tool.
• Handles overlapping search URLs with automatic deduplication.
• Provides export-ready datasets in JSON, CSV, Excel, and other formats.

Features

Feature	Description
Multi-portal support	Works with Propertyfinder UAE, Qatar, Bahrain, Egypt, and Saudi Arabia.
Full property extraction	Captures titles, prices, amenities, geocoordinates, agent/broker details, and rich descriptions.
Monitoring mode	Scrapes only newly added listings after the first run.
Delisting tracker	Detects properties removed from the platform over time.
Unit number retrieval	Retrieves unit numbers when enabled and integrated with compatible tools.
Duplicate filtering	Removes repeated results automatically across overlapping URLs.
Flexible inputs	Accepts search listing URLs or individual property URLs.
Multiple output formats	Export in JSON, CSV, Excel, XML, RSS, and HTML.

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What Data This Scraper Extracts

Field Name	Field Description
id	Unique property identifier.
url	Full URL of the listing.
title	Listing title written by the broker.
displayAddress	Human-readable property location.
bathrooms	Number of bathrooms.
bedrooms	Number of bedrooms.
addedOn	When the property was published.
broker	Broker or agency name.
agent	Agent responsible for the listing.
agentPhone	Agent’s contact phone number.
verified	Whether Propertyfinder marks the listing as verified.
reference	Internal reference code.
permit_number	Official permit/license number.
agentBrn	Broker registration number.
freehold	Whether property is freehold eligible.
completionDate	Property completion date, if available.
price	Listing price.
propertyType	Apartment, villa, commercial, etc.
coordinates	Latitude and longitude of property.
sizeMin	Minimum size in sqft or sqm.
furnishing	Furnishing state.
features	Array of amenities and property features.
agentInfo	Structured agent profile information.
brokerInfo	Structured broker/agency profile information.
description	Clean text description of the property.
descriptionHTML	HTML formatted description.
images	URLs of listing photos.
similarTransactions	Historical buy/rent transactions.

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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,
  "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,
  "price": 4900000,
  "coordinates": { "latitude": 25.246215, "longitude": 55.441623 },
  "furnishing": "NO",
  "features": ["Unfurnished","Covered Parking","Private Garden"],
  "agentInfo": { "name": "Muhammad Numan Siddique", "total_properties": 33 },
  "brokerInfo": { "name": "Taurus Real Estate", "license_number": "794945" },
  "images": ["https://www.propertyfinder.ae/property/..."],
  "similarTransactions": {
    "buy": [
      { "amount": 1510000, "date": "2024-02-06T00:00:00+00:00", "size": 649 }
    ]
  }
}

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Directory Structure Tree

Propertyfinder Scraper/
├── src/
│   ├── runner.js
│   ├── extractors/
│   │   ├── listing_parser.js
│   │   ├── property_parser.js
│   │   └── utils_coordinates.js
│   ├── outputs/
│   │   └── dataset_exporter.js
│   └── config/
│       └── settings.example.json
├── data/
│   ├── inputs.sample.json
│   └── sample_output.json
├── package.json
└── README.md

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Use Cases

• Real-estate analysts use it to gather fresh property data daily, so they can track market movements and price trends.
• Investment firms use it to monitor new listings in specific communities, enabling faster decision-making.
• Property portals use it to enrich internal databases with structured, clean listing information.
• Automation engineers use it to power pipelines feeding BI dashboards and pricing models.
• Brokers use it to track competitor inventory and analyze supply in targeted areas.

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FAQs

Q1: Can I scrape both individual properties and search result pages? Yes. You can provide either listing result URLs or direct property URLs, or both at the same time.

Q2: Does it detect delisted properties? Yes. When the delisting tracker is enabled, last-seen timestamps are updated automatically, allowing you to identify properties no longer active.

Q3: How does monitoring mode work? The first run collects full data. Subsequent runs capture only newly added properties, significantly reducing processing time.

Q4: Is duplicate data a problem? No. All property IDs are deduplicated within the same run, even across multiple overlapping search URLs.

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Performance Benchmarks and Results

Primary Metric: Processes an average of 1,000–1,500 properties per minute under optimized conditions.

Reliability Metric: Maintains a 97–99% success rate on stable network and proxy configurations.

Efficiency Metric: Uses multi-threading to achieve up to 5× faster throughput compared to single-thread scraping.

Quality Metric: Delivers over 98% field completeness, including agent/broker data, amenities, geocoordinates, and rich descriptions.

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