99property Spider

Introduction

The 99property Spider is a powerful Apify Actor designed to scrape property listings from the 99property website, extracting comprehensive details such as prices, titles, addresses, and more. It enables users to gather real estate data efficiently for analysis, monitoring, or integration into business workflows. Whether you're a real estate professional, researcher, or developer, this tool simplifies data collection from property platforms with high reliability and speed.

Features

• Comprehensive Data Extraction: Scrapes detailed property information including prices, titles, addresses, bedrooms, bathrooms, and images from 99property listings.
• Multi-URL Support: Handles multiple URLs in a single run, allowing batch processing of property pages for efficient data gathering.
• High Reliability: Built with robust error handling to ensure consistent performance even with varying page structures or network issues.
• Fast and Scalable: Optimized for quick scraping with Apify's infrastructure, supporting large-scale data collection without compromising speed.
• Structured Output: Delivers clean, JSON-formatted data that's easy to export to CSV, Excel, or integrate into databases and applications.
• User-Friendly Configuration: Simple input parameters make it accessible for both beginners and advanced users, with clear validation for URLs.
• No Coding Required: Fully managed Actor that runs on Apify's cloud, eliminating the need for local setup or technical expertise.

Input Parameters

Parameter	Type	Required	Description	Example
Urls	array	Yes	An array of URLs pointing to 99property property listing pages to scrape. Must include at least one valid HTTP/HTTPS URL.	["https://www.99property.com/property/suvarna-sutera"]

Example Usage

To run the 99property Spider, provide input in JSON format with the required URLs. Here's an example input:

{
  "Urls": [
    "https://www.99property.com/property/suvarna-sutera",
    "https://www.99property.com/property/another-listing"
  ]
}

The Actor will process these URLs and output structured data like this:

[
  {
    "price": null,
    "mortgage": null,
    "title": "Suvarna Sutera",
    "address": null,
    "badges": [],
    "last_updated": null,
    "bedrooms": null,
    "bathrooms": null,
    "land_area_m2": null,
    "building_area_m2": null,
    "images": []
  }
]

Use Cases

• Market Research and Analysis: Gather data on property prices and features to analyze real estate trends in specific regions.
• Competitive Intelligence: Monitor competitors' listings to track pricing strategies and market positioning.
• Price Monitoring: Set up automated runs to track price changes on key properties for investment decisions.
• Content Aggregation: Collect property details for websites, apps, or reports that aggregate real estate information.
• Academic Research: Extract data for studies on housing markets, urban development, or economic indicators.
• Business Automation: Integrate scraped data into CRM systems, dashboards, or workflows for real estate agencies and investors.

Installation and Usage

1. Search for "99property Spider" in the Apify Store
2. Click "Try for free" or "Run"
3. Configure input parameters
4. Click "Start" to begin extraction
5. Monitor progress in the log
6. Export results in your preferred format (JSON, CSV, Excel)

Output Format

The Actor outputs data in JSON format as an array of objects, each representing a scraped property. Key fields include:

• price: The listed price (may be null if not available).
• mortgage: Mortgage-related information (often null).
• title: The property title, e.g., "Suvarna Sutera".
• address: Property address (may be null).
• badges: Array of badges or tags (empty if none).
• last_updated: Timestamp of last update (null if not specified).
• bedrooms: Number of bedrooms (null if not listed).
• bathrooms: Number of bathrooms (null if not listed).
• land_area_m2: Land area in square meters (null if unavailable).
• building_area_m2: Building area in square meters (null if unavailable).
• images: Array of image URLs (empty if none).

This structured format ensures easy parsing and integration.

Support

For custom/simplified outputs or bug reports, please contact:

• Email: support@getdataforme.com
• Subject line: "custom support"
• Contact form: https://getdataforme.com/contact/

We're here to help you get the most out of this Actor!