Realestate.com.au Property Search Scraper: Extract Australian Real Estate Market Data

Why Realestate.com.au Data Matters

Realestate.com.au dominates Australia's online property market as the nation's most visited real estate portal. The platform aggregates listings from thousands of agents across all states and territories, making it the definitive source for understanding Australian property markets—from metropolitan apartments to rural acreages.

The data encompasses critical market indicators: asking prices, property features, days on market, agent activity, and auction schedules. For investors, analysts, developers, and property professionals, this information reveals pricing trends, supply dynamics, and market sentiment across different regions and property types.

Manual data collection from thousands of listings is impractical. This scraper automates extraction, delivering structured data ready for analysis, valuation modeling, or market intelligence dashboards.

Scraper Capabilities and Target Users

This scraper extracts complete property information from Realestate.com.au search results and detail pages. It captures both listing fundamentals (price, location, property type) and detailed attributes (land size, building area, parking, inspections, auction dates) along with agent and agency information.

The tool handles various listing types—sales, auctions, and off-market properties—across all Australian property categories including houses, apartments, townhouses, land, and commercial properties. It respects pagination limits while maximizing data extraction within your specified constraints.

Key users include:

• Property investors conducting market research and identifying opportunities
• Real estate agencies monitoring competitor listings and market activity
• Property developers analyzing land values and development potential
• Market researchers tracking pricing trends, inventory levels, and sales velocity
• Data analysts building predictive models for property valuations
• Financial institutions assessing market conditions for lending decisions

Input Configuration Explained

The scraper requires search result page URLs from Realestate.com.au—these are pages showing multiple property listings, not individual property pages. Search URLs typically include filters for location, property type, price range, and sorting preferences.

Understanding the input structure:

{
  "proxy": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"],
    "apifyProxyCountry": "US"
  }, // optional
  "max_items_per_url": 20,
  "ignore_url_failures": true,
  "urls": [
    "https://www.realestate.com.au/buy/property-house-in-emerald,+qld+4720/list-1?activeSort=list-date-asc"
  ] 
}

Example Screenshot:

Input parameters breakdown:

Proxy configuration is essential for reliable scraping. Residential proxies simulate genuine user traffic, preventing detection and blocking. While you can select different proxy countries, Australian or nearby Asia-Pacific locations often provide better performance and lower latency.

max_items_per_url controls how many properties to extract from each search URL. Setting this to 20 means the scraper will collect up to 20 listings per URL provided. Adjust this based on your needs—higher values extract more data but increase runtime and resource consumption.

ignore_url_failures (set to true) ensures the scraper continues processing remaining URLs even if one fails. This is valuable when scraping multiple locations or property types, as it prevents a single problematic URL from halting the entire job.

URLs array accepts multiple search result pages. You can include different locations, property types, or price ranges in separate URLs.

Finding the right URLs:

Navigate to Realestate.com.au and use their search interface to filter by location, property type, bedrooms, price range, or other criteria. Apply your desired sorting (newest first, price ascending/descending). Copy the URL from your browser's address bar—this is what you'll use as input.

Pagination is handled automatically up to your max_items_per_url limit. The scraper will navigate through result pages to collect the specified number of listings.

Complete Output Data Structure

The scraper returns detailed JSON objects for each property, with fields organized into logical categories:

Core Identifiers:

ID uniquely identifies each listing in Realestate.com.au's system. This is crucial for tracking properties over time, detecting relists, or building relational databases linking listings to historical data.

Links provides all URLs associated with the listing, including the main property page, canonical URL, and short links for sharing. These enable direct navigation to listings or integration with other systems.

Basic Property Information:

Property Type categorizes the listing (house, apartment, townhouse, unit, land, villa, etc.). This field is essential for segmenting analysis by dwelling type, as houses and apartments often follow different market dynamics.

Address contains structured location data including street number, street name, suburb, state, and postcode. The scraper also includes display address (as shown publicly) versus complete address details (when available). Geocoded coordinates enable mapping and spatial analysis.

Price information varies by listing type. For standard sales, this includes asking price or price range. For auctions, it may show guide price or price indication. The field also captures price display text (e.g., "Offers over $850,000" or "Auction Saturday"). Currency is always AUD but tracking the display format reveals pricing strategies.

Property Features and Specifications:

General Features includes fundamental attributes like number of bedrooms, bathrooms, parking spaces, and additional rooms (study, garage, carport). This array-style field captures both standard and unique features that agents highlight.

Property Sizes provides crucial measurement data. Land size (in square meters) is vital for development potential analysis and land value calculations. Building area indicates internal living space. These metrics enable price-per-square-meter comparisons and help identify under or overpriced listings relative to size.

Inspection and Sales Information:

Inspections arrays contain scheduled open house times and private inspection availability. Each inspection includes date, time, and sometimes duration. This data helps identify listing urgency—multiple inspections suggest high interest or motivated selling.

Auction details are critical for the Australian market where auctions represent a significant sales method. Fields include auction date, time, and venue. Tracking auction dates reveals market timing patterns and enables auction pipeline analysis.

Marketing and Presentation:

Description contains the full marketing text written by the listing agent. This rich text data can be analyzed for sentiment, feature emphasis, or writing quality. Natural language processing can extract mentioned features, lifestyle highlights, or urgency indicators.

Media arrays include all property images, videos, floorplans, and virtual tours. Image URLs enable building visual databases or automated property presentation systems. The number and quality of media assets often correlates with listing price and agent marketing effort.

Badge displays promotional tags like "New," "Price Reduced," "Auction," or "Under Contract." These badges signal listing status changes and market dynamics—multiple "Price Reduced" badges indicate softening demand.

Agent and Agency Information:

Listing Company provides the real estate agency name, logo, and contact details. This enables tracking which agencies dominate specific markets or property types.

Listers arrays contain individual agent information including names, phone numbers, email addresses, and agent IDs. This data supports analysis of top-performing agents, agency team structures, or direct outreach for inquiries.

Product Depth indicates the listing's marketing package level on Realestate.com.au (premier, signature, etc.). Higher-tier listings receive better placement and features, signaling agent confidence or property value.

Technical and Metadata:

Parent references related listings if this property is part of a development or multi-listing campaign.

Above The Fold ID and View Configuration contain technical identifiers used by Realestate.com.au's presentation layer, useful for advanced integrations or tracking display variations.

Introduction provides a brief summary or headline that appears in search results before users click through to full listings.

Example output:

[
  {
  "id": "148990608",
  "description": "This stylish and contemporary townhouse is the perfect choice for the first home buyers, investors, or anyone looking for easy- care lifestyle without compromising on comfort. <br/><br/>Step inside to discover a light filled interior featuring 3 spacious bedrooms, each with built in wardrobes, ceiling fans and split system air conditioning for year- round comfort. The master suite also includes it's own ensuite. <br/><br/>At the heart of the home, the modern kitchen is equipped with sleek stone look benchtops, stainless steel appliances, ample storage and a breakfast bar - perfect for family living or entertaining guests. The open plan living and dining areas flows seamlessly to the covered outdoor patio, complete with ceiling fan. <br/><br/>The property is fully fenced, providing privacy and security, while the single lock up garage ensures convenience and peace of mind. <br/><br/>Lease Details<br/>Lease end date: 16/02/2026<br/>Weekly Rent: $500.00<br/>Contact Wendy Thornberry at Elders on Egerton on 0409 640 056 now to arrange your inspection on this property. ",
  "media": {
    "main_image": {
      "templated_url": "https://i2.au.reastatic.net/{size}/65d7aae82499ecc6e9bbfd3ea9ea1aa7de16e3e3d2fe0963d1e2db2ee89ebcdc/image.jpg",
      "__typename": "Image"
    },
    "images": [
      {
        "__typename": "Image",
        "templated_url": "https://i2.au.reastatic.net/{size}/65d7aae82499ecc6e9bbfd3ea9ea1aa7de16e3e3d2fe0963d1e2db2ee89ebcdc/image.jpg"
      },
      {
        "__typename": "Image",
        "templated_url": "https://i2.au.reastatic.net/{size}/e19506f562e0c51e3da9700cd42719e8cac5ffbb49922fbc8719054ed3698e30/image.jpg"
      },
      {
        "__typename": "Image",
        "templated_url": "https://i2.au.reastatic.net/{size}/2d4b1c0d4cf33657a2ea325c10de3e938a2ccfa2acbd4a8310aa686675f2e3bc/image.jpg"
      },
      {
        "__typename": "Image",
        "templated_url": "https://i2.au.reastatic.net/{size}/6f59dc3afe545e60b0131ad954ed16a5304bb1ce1479cd2316bd9674b5b5e812/image.jpg"
      },
      {
        "__typename": "Image",
        "templated_url": "https://i2.au.reastatic.net/{size}/04ace7847d120c658467d0aec44d96f808baded3f61c4ae7010e42d21ffb1753/image.jpg"
      },
      {
        "__typename": "Image",
        "templated_url": "https://i2.au.reastatic.net/{size}/3e703501b948a35b5f37ff1516875bad78cbe90e6eb3c5565b5929fd2a90cd6e/image.jpg"
      },
      {
        "__typename": "Image",
        "templated_url": "https://i2.au.reastatic.net/{size}/d7ef3b01fd861ec5cea6bc1654f4374c6c800883b81d0a6ff9a05837350806a5/image.jpg"
      },
      {
        "__typename": "Image",
        "templated_url": "https://i2.au.reastatic.net/{size}/dbbed989d6e247f3664a04b2d18d96c4881eb323618517bd1789ec965509ee48/image.jpg"
      },
      {
        "__typename": "Image",
        "templated_url": "https://i2.au.reastatic.net/{size}/f18e52b6aaa6a497c4b04d95b0293a8c9eb2114672e20e673e26ee49581907bc/image.jpg"
      },
      {
        "__typename": "Image",
        "templated_url": "https://i2.au.reastatic.net/{size}/9abfbd282db3ee85d565b170e866e513309ffe26fc909d53e12d84fa7872fb20/image.jpg"
      },
      {
        "__typename": "Image",
        "templated_url": "https://i2.au.reastatic.net/{size}/d96619f90b473f07e89c89ca27d08b02e43f27efd92f66ead61c6070b574509e/image.jpg"
      },
      {
        "__typename": "Image",
        "templated_url": "https://i2.au.reastatic.net/{size}/f9613222e1128a9810ec112f51d8479cf2c2491026b2bf33bdc1e787e8e4b684/image.jpg"
      },
      {
        "__typename": "Image",
        "templated_url": "https://i2.au.reastatic.net/{size}/38f3b84b03652c6952bf5e04cdd8bc2d02821674fed141b8d7e6b55d8a409295/image.jpg"
      },
      {
        "__typename": "Image",
        "templated_url": "https://i2.au.reastatic.net/{size}/ac8e05ecdcc466cdb2ef39571edb70a9f806eb436776be450776905ac30141d7/image.jpg"
      },
      {
        "__typename": "Image",
        "templated_url": "https://i2.au.reastatic.net/{size}/9b117c53f826dc098128870dc0384555f45a54d62060c0d986b7e2ff0f165235/image.jpg"
      },
      {
        "__typename": "Image",
        "templated_url": "https://i2.au.reastatic.net/{size}/89b2d74b3a463675603105e175f2d6d9035ba805fe95f26b8764a47e1e34742f/image.jpg"
      },
      {
        "__typename": "Image",
        "templated_url": "https://i2.au.reastatic.net/{size}/bec023344e7105e2cfa05fadda339f7f6a015ed81e331bad4be530dc8d4786f7/image.jpg"
      }
    ],
    "__typename": "ResidentialListingMedia",
    "statement_of_information": null,
    "floorplans": [],
    "three_dimensional_tours": [],
    "videos": []
  },
  "property_type": {
    "id": "duplex-semi-detached",
    "display": "Duplex/Semi-detached",
    "__typename": "PropertyType"
  },
  "address": {
    "display": {
      "short_address": "2/28 Saville Street",
      "full_address": "2/28 Saville Street, Emerald, Qld 4720",
      "__typename": "AddressDisplay"
    },
    "suburb": "Emerald",
    "state": "Qld",
    "postcode": "4720",
    "__typename": "Address"
  },
  "price": {
    "display": "$449,000",
    "__typename": "BuyPrice",
    "search_range": null,
    "information": null
  },
  "general_features": {
    "bedrooms": {
      "value": 3,
      "__typename": "IntValue"
    },
    "__typename": "GeneralFeatures",
    "bathrooms": {
      "value": 2,
      "__typename": "IntValue"
    },
    "parking_spaces": {
      "value": 1,
      "__typename": "IntValue"
    },
    "studies": {
      "value": 0,
      "__typename": "IntValue"
    }
  },
  "property_sizes": {
    "land": null,
    "__typename": "PropertySizes",
    "building": null,
    "preferred": null
  },
  "inspections": [],
  "auction": null,
  "parent": null,
  "above_the_fold_id": "148990608",
  "badge": {
    "colour": "#697684",
    "label": "Under offer",
    "__typename": "ListingBadge"
  },
  "view_configuration": {
    "details": {
      "show_breadcrumbs": true,
      "__typename": "ResidentialListingDetailsViewConfiguration",
      "agency_branding_on_side_panel": true,
      "branding": {
        "header": {
          "size": "LARGE",
          "__typename": "DetailsBrandingHeader"
        },
        "__typename": "DetailsBranding"
      },
      "poster_board": true,
      "show_walkthrough_video": false,
      "agency_info": true,
      "adverts": {
        "header_leaderboard": false,
        "__typename": "DetailsAdvertsViewConfiguration"
      },
      "show_agent_ratings": true,
      "show_agency_in_media_viewer": false
    },
    "__typename": "ResidentialListingViewConfiguration",
    "search_results": {
      "show_display_price": true,
      "__typename": "ResidentialListingSearchResultsViewConfiguration",
      "property_card_thumbnails": false,
      "agency_branding": true,
      "show_agency_in_media_viewer": false,
      "agent_photo": true,
      "agent_name": true,
      "show_walkthrough_video_icon": false
    }
  },
  "listing_company": {
    "id": "KQTZDO",
    "name": "Elders Real Estate - Emerald",
    "branding": {
      "primary_colour": "#d81818",
      "__typename": "ListingCompanyBranding",
      "text_colour": "#ffffff"
    },
    "media": {
      "logo": {
        "templated_url": "https://i2.au.reastatic.net/{size}/02360bb0e5795d69428a5e69ab9716e9802d439fe9fe03fd4cdb8d5982c555b9/logo.gif",
        "__typename": "Image"
      },
      "__typename": "ListingCompanyMedia"
    },
    "__typename": "Agency",
    "_links": {
      "canonical": {
        "href": "https://www.realestate.com.au/agency/elders-real-estate-emerald-KQTZDO?cid={cid}",
        "__typename": "AbsoluteLinks"
      },
      "__typename": "ListingCompanyLinks"
    },
    "business_phone": "(07) 4987 7779 or 0409 640 056",
    "address": {
      "display": {
        "full_address": "Shop 2/97 Egerton Street, EMERALD, QLD 4720",
        "__typename": "ListingCompanyAddressDisplay"
      },
      "__typename": "ListingCompanyAddress"
    },
    "ratings_reviews": {
      "avg_rating": 5,
      "total_reviews": 7,
      "__typename": "AgencyRatingsReviews"
    }
  },
  "listers": [
    {
      "id": "140716",
      "name": "Wendy Thornberry",
      "photo": {
        "templated_url": "https://i2.au.reastatic.net/{size}/59a14337fe8484c2412eafa98458182085ba378990d898f5857d8dde385ba920/main.jpg",
        "__typename": "Image"
      },
      "phone_number": {
        "display": "0409640056",
        "show_disclaimer": false,
        "__typename": "PhoneNumber"
      },
      "_links": {
        "canonical": {
          "href": "https://www.realestate.com.au/agent/wendy-thornberry-140716?cid={cid}",
          "__typename": "AbsoluteLinks"
        },
        "__typename": "ListerLinks"
      },
      "__typename": "Lister",
      "agent_id": null,
      "job_title": "Residential Property Speicalist",
      "show_in_media_viewer": false
    }
  ],
  "product_depth": "premiere",
  "introduction": null,
  "from_url": "https://www.realestate.com.au/buy/property-house-in-emerald,+qld+4720/list-1"
}
]

Usage Guide

Create an Apify account and locate the Realestate.com.au Property Search Scraper. Begin by identifying your target market—specific suburbs, regions, or property types you want to analyze.

Use Realestate.com.au's search filters to create your desired query (location, price range, property type, bedrooms). Copy the resulting URL. For comprehensive market coverage, create multiple URLs covering different areas or filters.

Configure your input JSON with collected URLs and set max_items_per_url based on your needs. For suburb-level analysis, 50-100 items often captures most active listings. For broader regional searches, adjust accordingly.

Launch the scraper and monitor progress through Apify's console. Processing time depends on item count and server load—expect roughly 1-2 minutes per 20 listings. Review the output dataset to verify data quality.

Export data in JSON for programmatic use or CSV for spreadsheet analysis. For ongoing market monitoring, schedule daily or weekly runs to track new listings, price changes, and sold properties.

Error handling: The scraper retries failed requests automatically. If entire URLs fail consistently, verify the URL is a valid search results page. Check that your proxy settings allow Australian site access.

Applications and Strategic Value

Investment Analysis: Build databases of comparable properties to identify undervalued listings. Calculate price-per-square-meter metrics across suburbs to spot pricing anomalies. Track days-on-market trends to identify motivated sellers or cooling markets.

Market Intelligence: Monitor competitor agency activity—which agents list most properties, at what price points, and in which suburbs. Analyze marketing strategies through description text analysis and media quality assessment.

Valuation Modeling: Combine scraped data with sold price information to build automated valuation models (AVMs). Use property features, location data, and market trends as model inputs. Validate bank or automated valuations against current market listings.

Development Feasibility: Identify land parcels by filtering for large lot sizes with older buildings. Calculate land values by comparing price per square meter across suburbs. Assess development competition by tracking new subdivision listings.

Portfolio Management: Monitor specific suburbs or property types relevant to existing investment portfolios. Set up alerts for properties matching acquisition criteria. Track market shifts that might affect portfolio values.

Rental Yield Analysis: Cross-reference listing prices with rental data from other sources to calculate potential yields. Identify suburbs or property types offering best rental returns relative to purchase price.

Best Practices for Sustainable Data Collection

Schedule regular scrapes rather than massive one-time jobs. Weekly collection captures new listings while avoiding redundancy. For dynamic markets, daily scrapes track fast-moving inventory.

Implement deduplication logic using property IDs. Track when listings first appear, when prices change, and when they're removed—this temporal data reveals market velocity and seller behavior.

Combine Realestate.com.au data with other sources like Domain.com.au or sold price databases for comprehensive market views. Cross-validation improves data accuracy and fills gaps from single sources.

Respect reasonable rate limits by spacing out large scraping jobs. Use max_items_per_url to control job size. While the scraper handles technical politeness, avoid overwhelming the platform with excessive concurrent requests.

Store historical data systematically. Track individual listings across their lifecycle from initial listing through price changes to removal. This longitudinal data provides insights impossible from snapshots alone.

Validate extracted data programmatically. Check for null values in critical fields, verify price ranges are reasonable, and confirm geocodes fall within expected regions. Set up automated alerts for anomalies.

Conclusion

The Realestate.com.au Property Search Scraper transforms Australia's premier property marketplace into actionable intelligence. Whether you're analyzing investment opportunities, conducting market research, or building valuation models, this tool delivers the comprehensive, structured data essential for informed decision-making in the Australian real estate market.