Realestate.com.au Scraper | Basic Version

Stop Wasting Time Manually Hunting for Real Estate Information

Tired of endlessly scrolling through real estate listings to find the perfect property? Meet the Realestate.com.au Scraper.

This tool streamlines property hunting by scraping listings and saving you hours of manual searching, ensuring you never miss the right opportunity.

Key Features

• Extracts Critical Property Data:
  • Address Heading
  • Agent Image
  • Agent Name
  • Branding Title
  • Inspection Details
  • Price
  • Property Details
  • Property Image
  • Property Type
  • Search Type (Buy, Rent, Sold)
  • Sold On (for sold listings)
  • Sold Status
• Structured Storage:
  • Clean JSON format
  • Default dataset storage
  • Easy API access

How It Works

1. Input Requirements:

   • Provide realestate.com.au search URL in Filtered URL
   • Example: https://www.realestate.com.au/sold/in-the+rocks,+nsw+2000/list-1?source=refinement

2. Scraping Process:

   • Automated browser loads realestate.com.au search pages
   • Extracts property listings with detailed information
   • Handles pagination automatically
   • Respects website structure and loading times

Note: You will get a maximum of 80 pages per search

Output Structure (Buy | Rent):

1{
2  "address_heading": "10 Example St, Sydney NSW 2000",
3  "agent_img": "https://example.com/agent.jpg",
4  "agent_name": "John Doe",
5  "branding_title": "XYZ Realty",
6  "inspection": "Saturday 12:00 PM - 1:00 PM",
7  "price": "$1,200,000",
8  "property_details": "4 bed | 2 bath | 1 car",
9  "property_img": "https://example.com/property.jpg",
10  "property_type": "House",
11  "search_type": "buy",
12}

Output Structure (Sold):

1{
2  "address_heading": "10 Example St, Sydney NSW 2000",
3  "agent_img": "https://example.com/agent.jpg",
4  "agent_name": "John Doe",
5  "branding_title": "XYZ Realty",
6  "price": "$1,200,000",
7  "property_details": "4 bed | 2 bath | 1 car",
8  "property_img": "https://example.com/property.jpg",
9  "property_type": "House",
10  "search_type": "buy",
11  "sold_on": "2025-01-30",
12  "sold_status": "Sold"
13}