Realestate.com.au Property Details Scraper: Extract Complete Australian Real Estate Data

Excerpt: Scrape comprehensive property listings from Realestate.com.au, Australia's largest real estate portal. Extract detailed information including prices, features, property sizes, agent details, and inspection times. Essential for property investors, market analysts, and real estate professionals tracking the Australian housing market.

Why Realestate.com.au Data Matters

Realestate.com.au dominates Australia's property market as the nation's most visited real estate website, listing over 300,000 properties across residential, commercial, and rural categories. The platform aggregates listings from virtually every Australian real estate agency, making it the definitive source for understanding property values, market trends, and housing availability across the continent.

For property investors, developers, and market researchers, this data reveals pricing patterns, feature preferences, and geographic demand signals. Real estate professionals use this information to benchmark listings, analyze competition, and identify market opportunities. However, manually collecting detailed information from thousands of property pages is impractical, making automated extraction essential for serious market analysis.

The Realestate.com.au Property Details Scraper transforms individual property pages into structured datasets, enabling systematic analysis of Australia's diverse real estate landscape from Sydney harbor apartments to Queensland rural estates.

Scraper Capabilities and Target Users

This scraper extracts complete property information from individual listing pages on Realestate.com.au. Unlike basic scrapers that capture only surface-level data, this tool retrieves the full dataset including property features, listing agent information, inspection schedules, multimedia assets, and detailed descriptions.

The scraper handles Realestate.com.au's complex page structure, capturing both standard property attributes and platform-specific elements like auction details, product depth indicators, and FAQ sections. It processes residential properties (houses, apartments, townhouses), commercial listings, and rural properties across all Australian states and territories.

Property investors benefit from systematic data collection for portfolio analysis and market comparison. Real estate agencies can monitor competitor listings and market positioning. Property developers use this data to understand feature preferences and pricing in target areas. Data analysts and researchers gain insights into housing affordability, regional price variations, and market velocity across Australia's property sectors.

Input Configuration and URL Requirements

The scraper requires direct URLs to individual property detail pages on Realestate.com.au. Where type indicates the property category (house, apartment, unit), state uses Australian abbreviations (NSW, VIC, QLD), and the ID is the unique listing identifier.

Understanding the Input Structure:

{
  "proxy": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"],
    "apifyProxyCountry": "US"
  },
  "urls": [
    "https://www.realestate.com.au/property-house-qld-emerald-149430104"
  ]
}

Example Screenshot:

Proxy Configuration Explained:

The proxy settings are critical for reliable scraping. useApifyProxy: true enables Apify's proxy network, preventing your scraper from being detected as automated traffic. apifyProxyGroups: ["RESIDENTIAL"] specifies residential IP addresses, which appear as regular home internet connections rather than data center IPs that websites often block.

The apifyProxyCountry parameter determines which country's IP addresses to use. While "US" works, setting this to "AU" (Australia) often provides better results when scraping Australian websites, as it reduces latency and appears more natural to the platform's traffic patterns.

URL Array Guidelines:

Include multiple property URLs in the array to batch-process listings. You can scrape dozens or hundreds of properties in a single run. Obtain these URLs by browsing Realestate.com.au's search results, filtering by your criteria (location, price range, property type), and copying URLs from individual listing pages.

The scraper processes URLs sequentially, respecting rate limits to avoid overwhelming the platform. For large-scale scraping (1000+ properties), consider breaking into multiple runs to monitor progress and manage resources effectively.

Comprehensive Output Fields and Their Applications

The scraper returns structured JSON data with each property as a complete object. Understanding these fields enables effective data utilization.

Identification and Classification:

ID provides the unique listing identifier, essential for tracking properties over time, detecting re-listings, and building relational databases. Links contains all URLs associated with the property, including the main listing page and any related resources.

Parent indicates if the listing is part of a larger property group or development project, useful for analyzing multi-unit developments. Above The Fold ID references the primary display section, relevant for understanding listing presentation hierarchy.

Badge shows promotional tags like "New," "Price Reduced," or "Open Home," indicating listing status and urgency signals that affect buyer behavior.

Property Fundamentals:

Address provides the complete street address with suburb, state, and postcode. This structured address data enables geographic analysis, distance calculations, and regional market segmentation.

Property Type categorizes the listing (house, apartment, townhouse, villa, land, rural), critical for like-for-like comparisons and market segment analysis. View Configuration indicates property orientation and view aspects (ocean view, city view, park frontage), which significantly impact valuation.

Listing and Agency Information:

Listing Company contains the real estate agency details, including agency name, contact information, and office location. This data reveals which agencies dominate specific markets and enables agent performance tracking.

Product Depth indicates the listing's promotion level on the platform (standard, premium, signature), showing how aggressively the property is being marketed. Higher product depth typically correlates with faster sale times and competitive pricing.

Property Characteristics:

General Features is an array containing property attributes like number of bedrooms, bathrooms, parking spaces, air conditioning, swimming pool, and other amenities. This structured feature data enables filtering and comparative analysis across similar properties.

Property Sizes includes land area, building area, and frontage measurements in square meters. Size metrics are fundamental for price-per-square-meter calculations and property valuation models.

Pricing and Financial Data:

Price contains the asking price or price range for sale listings, or weekly/monthly rent for rental properties. For auctions, this may show a price guide. Currency is always AUD. This field sometimes includes price display text like "Offers over $850,000" or "Contact agent," requiring text parsing for exact values.

Auction provides auction details when applicable, including scheduled auction date, time, and location. Auction properties represent approximately 30% of sales in major Australian cities, making this data valuable for understanding market dynamics.

Marketing and Presentation:

Media is an array of all images, virtual tours, videos, and floor plans associated with the listing. High-quality multimedia correlates with premium properties and professional marketing. This field includes URLs to all assets, enabling media download or analysis of presentation quality.

Description contains the full property marketing text written by the listing agent. This rich text data can be analyzed for keywords, sentiment, and writing quality. Common phrases and emphasis points reveal what features agents consider most marketable.

Introduction provides the headline or opening statement, typically highlighting the property's key selling points in 1-2 sentences.

Title is the formatted property title as displayed on the listing page, usually combining address with key features.

Inspection and Viewing:

Inspections and Inspection Times contain scheduled open home and private inspection times. This temporal data indicates viewing frequency and agent availability, with more inspection times often signaling higher market interest or urgency to sell.

Agent Information:

Listers is an array of all agents associated with the listing, including their names, contact details, photos, and agent IDs. Individual agent data enables performance tracking, portfolio analysis, and understanding which agents specialize in specific property types or price ranges.

Additional Information:

FAQ contains frequently asked questions and answers about the property, often addressing common queries about strata fees, council rates, zoning, or property history. This structured Q&A data provides insights beyond standard listing details.

Example Output Structure:

[
  {
  "id": "149430104",
  "parent": null,
  "above_the_fold_id": "149430104",
  "badge": {
    "colour": "#697684",
    "label": "Under offer",
    "__typename": "ListingBadge"
  },
  "address": {
    "suburb": "Emerald",
    "state": "Qld",
    "postcode": "4720",
    "display": {
      "short_address": "3 Desgrand Street",
      "__typename": "AddressDisplay",
      "full_address": "3 Desgrand Street, Emerald, Qld 4720",
      "geocode": {
        "latitude": -23.55534071,
        "longitude": 148.16574039,
        "__typename": "GeocodeDisplay"
      }
    },
    "__typename": "Address"
  },
  "property_type": {
    "id": "house",
    "display": "House",
    "__typename": "PropertyType"
  },
  "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",
        "photo_gallery": false,
        "media_viewer_sidebar": true,
        "floor_med_rec": false,
        "sidebar_med_rec": false,
        "renovation_calculator": true,
        "widget": false,
        "map_skyscraper": true
      },
      "show_agent_ratings": true,
      "show_agency_in_media_viewer": false,
      "enquiry_form": {
        "pre_enquiry_login": true,
        "__typename": "EnquiryFormViewConfiguration",
        "multi_page_form": false,
        "land_size_question": false,
        "bedroom_configuration_question": true
      },
      "agency_branding_on_call_modal": true,
      "home_loan_calculator": true,
      "branding_on_related_listings": true,
      "promote_property": true
    },
    "__typename": "ResidentialListingViewConfiguration",
    "search_results": {
      "show_display_price": true,
      "__typename": "ResidentialListingSearchResultsViewConfiguration",
      "show_agency_in_media_viewer": false
    }
  },
  "listing_company": {
    "id": "XPNQTS",
    "name": "LJ Hooker - Emerald",
    "branding": {
      "primary_colour": "#FFFAEB",
      "__typename": "ListingCompanyBranding",
      "text_colour": "#000000"
    },
    "media": {
      "logo": {
        "templated_url": "https://i2.au.reastatic.net/{size}/c430379e1d0cada54522a041586ec8b4f3a747ca89576b74d29b1df855e77258/logo.jpg",
        "__typename": "Image"
      },
      "__typename": "ListingCompanyMedia",
      "main_image": null
    },
    "__typename": "Agency",
    "_links": {
      "canonical": {
        "href": "https://www.realestate.com.au/agency/lj-hooker-emerald-XPNQTS?cid={cid}",
        "__typename": "AbsoluteLinks",
        "templated": true
      },
      "__typename": "ListingCompanyLinks"
    },
    "business_phone": "07 4987 5355",
    "address": {
      "display": {
        "full_address": "25 Hospital Road, EMERALD, QLD 4720",
        "__typename": "ListingCompanyAddressDisplay"
      },
      "__typename": "ListingCompanyAddress"
    },
    "ratings_reviews": {
      "avg_rating": 4.8,
      "total_reviews": 10,
      "__typename": "AgencyRatingsReviews"
    },
    "description": null
  },
  "general_features": {
    "bedrooms": {
      "value": 4,
      "__typename": "IntValue"
    },
    "bathrooms": {
      "value": 2,
      "__typename": "IntValue"
    },
    "parking_spaces": {
      "value": 2,
      "__typename": "IntValue"
    },
    "studies": {
      "value": 1,
      "__typename": "IntValue"
    },
    "__typename": "GeneralFeatures"
  },
  "property_sizes": {
    "building": null,
    "land": {
      "display_value": "900",
      "size_unit": {
        "display_value": "m²",
        "__typename": "PropertySizeUnit"
      },
      "__typename": "PropertySize"
    },
    "preferred": {
      "size_type": "LAND",
      "size": {
        "display_value": "900",
        "size_unit": {
          "display_value": "m²",
          "__typename": "PropertySizeUnit"
        },
        "__typename": "PropertySize"
      },
      "__typename": "PreferredPropertySize"
    },
    "__typename": "PropertySizes"
  },
  "price": {
    "display": "OFFERS ABOVE $569,000",
    "__typename": "BuyPrice",
    "search_range": null,
    "information": null,
    "disclaimer": null
  },
  "media": {
    "statement_of_information": null,
    "__typename": "ResidentialListingMedia",
    "main_image": {
      "templated_url": "https://i2.au.reastatic.net/{size}/6b750c1675eba7b3e3108592e86633b84972d87a7a34a14fb38d1de5c35b6b4d/image.jpg",
      "__typename": "Image"
    },
    "images": [
      {
        "templated_url": "https://i2.au.reastatic.net/{size}/6b750c1675eba7b3e3108592e86633b84972d87a7a34a14fb38d1de5c35b6b4d/image.jpg",
        "__typename": "Image"
      },
      {
        "templated_url": "https://i2.au.reastatic.net/{size}/2e91acd97775aa3acbe076642b474b9ae87fbaadc2a85a3131e142d315b6e085/image.jpg",
        "__typename": "Image"
      },
      {
        "templated_url": "https://i2.au.reastatic.net/{size}/e74869bc3357453904e08abc0370da37ee7375a49f5789d23766a4a8ab81d6f4/image.jpg",
        "__typename": "Image"
      },
      {
        "templated_url": "https://i2.au.reastatic.net/{size}/49479c678303f081494b8236032e26b18ad884e8a5073e559dd854a16a581ccb/image.jpg",
        "__typename": "Image"
      },
      {
        "templated_url": "https://i2.au.reastatic.net/{size}/8b4a66076c241ff04ef4ded879bfc750aa8b19178e63af0ae6db79ad0907f43e/image.jpg",
        "__typename": "Image"
      },
      {
        "templated_url": "https://i2.au.reastatic.net/{size}/a5a4b5b53739032e97fb65fc1837ce718205a17f4b9b56627240af948817ce04/image.jpg",
        "__typename": "Image"
      },
      {
        "templated_url": "https://i2.au.reastatic.net/{size}/4e4701da7a9d4173066afda7d166f5ff418edfb0284fa9752a70fdb5f2f13db0/image.jpg",
        "__typename": "Image"
      },
      {
        "templated_url": "https://i2.au.reastatic.net/{size}/0b1bc5231c2271fc415dd67abd0ac65bdc28936c1aaaab67f39fbb0b5f538e75/image.jpg",
        "__typename": "Image"
      },
      {
        "templated_url": "https://i2.au.reastatic.net/{size}/f05941aab426bdce81f71a17f1409c8e3416e9ee342daf8a0c928dbd4311d752/image.jpg",
        "__typename": "Image"
      },
      {
        "templated_url": "https://i2.au.reastatic.net/{size}/ac93c3c47eb325eab2e4fa3c625be6dc8f9e2a4472e81765201cad8628a088a3/image.jpg",
        "__typename": "Image"
      },
      {
        "templated_url": "https://i2.au.reastatic.net/{size}/17ae47d399df830a1623b132713d106fa289097f07510c19df50c2dd84c22aae/image.jpg",
        "__typename": "Image"
      },
      {
        "templated_url": "https://i2.au.reastatic.net/{size}/a3625446bede4da2fdfc329ddd46547848fe4ffb4660b97789846e1f911b636d/image.jpg",
        "__typename": "Image"
      },
      {
        "templated_url": "https://i2.au.reastatic.net/{size}/f4db8b4c47c1030640cb7540ea38fd5d4c08d3b23be77dac66e3e855478874f4/image.jpg",
        "__typename": "Image"
      },
      {
        "templated_url": "https://i2.au.reastatic.net/{size}/05d78cc74eeca7d9e39c80551440c91cb06df28c7d4a25fb0f6a17fec4389443/image.jpg",
        "__typename": "Image"
      },
      {
        "templated_url": "https://i2.au.reastatic.net/{size}/9abdd7f1903e91a047e7671d1905aceda493b1ab3bf6e4ca31b7483e6b6353bc/image.jpg",
        "__typename": "Image"
      },
      {
        "templated_url": "https://i2.au.reastatic.net/{size}/6dfb6cd9a3a4d0628fc16d7d541708e7911366a512b94d73634dd667a71e8391/image.jpg",
        "__typename": "Image"
      },
      {
        "templated_url": "https://i2.au.reastatic.net/{size}/21e08c6f7c961579f9ede85c7c411bb2d00bdaa3229cafafc158f3bcd2c3539b/image.jpg",
        "__typename": "Image"
      },
      {
        "templated_url": "https://i2.au.reastatic.net/{size}/ec9b03a25a4c7555ec7d01ace39f425e3c41796e6aa2323afb1809e7b997ea38/image.jpg",
        "__typename": "Image"
      },
      {
        "templated_url": "https://i2.au.reastatic.net/{size}/dbd37164d31b61e0032fc50fb0ccd7472e08839ff153f0805cb8889a19d275c2/image.jpg",
        "__typename": "Image"
      },
      {
        "templated_url": "https://i2.au.reastatic.net/{size}/db3f126cfdee2f01eb924247da01ea9ef0f1745ac14aad25964a8225239e4e89/image.jpg",
        "__typename": "Image"
      }
    ],
    "floorplans": [],
    "three_dimensional_tours": [],
    "videos": []
  },
  "inspections": [],
  "listers": [
    {
      "id": "161841",
      "name": "Brenda Logovik",
      "photo": {
        "templated_url": "https://i2.au.reastatic.net/{size}/227b558638186e6416dbdddff8d671ac9e4a0b3811308c18a06a21667da5c24e/main.jpg",
        "__typename": "Image"
      },
      "phone_number": {
        "display": "0418711507",
        "show_disclaimer": false,
        "__typename": "PhoneNumber"
      },
      "_links": {
        "canonical": {
          "href": "https://www.realestate.com.au/agent/brenda-logovik-161841?cid={cid}",
          "__typename": "AbsoluteLinks"
        },
        "__typename": "ListerLinks"
      },
      "__typename": "Lister",
      "agent_id": null,
      "job_title": "Principal / Sales Specialist",
      "show_in_media_viewer": false,
      "lister_ratings_reviews": {
        "avg_rating": 4.8,
        "total_reviews": 9,
        "__typename": "ListerRatingsReviews"
      }
    }
  ],
  "description": "Exuding style and thoughtful design, this impressive Corbett Built Home offers quality living in a highly sought-after location. Perfectly positioned within close distance to schools, playgrounds, tennis courts, a 7-day supermarket, chemist, tavern and much more - everything you need is right at your fingertips.<br/><br/>Property Features:<br/>* 4 well-sized bedrooms. <br/>* Master bedroom with Ensuite and walk-in robe. <br/>* Galley-style kitchen complete with breakfast bar. <br/>* Internal Laundry. <br/>* Spacious open-plan living filled with natural light. <br/>* Garage with internal access converted into a versatile multi-purpose room. <br/>* Covered alfresco area ideal for outdoor dining and entertaining. <br/>* 9m x 6m powered shed with drive-through access from the front yard. <br/>* Fully fenced 900sqm allotment. <br/>* Built in 2009. <br/>* Rates Notice $3678.96 p/a (Excluding Water Usage). <br/>* Rental Appraisal upon request. <br/>* Playground not included in the sale. <br/><br/>This property offers a perfect combination of style, space and convenience - ideal for families or anyone seeking relaxed modern living. Call today to arrange your private inspection - homes of this calibre don't last long!<br/><br/> Disclaimer we have in preparing this advertisement used our best endeavors to ensure the information contained is true and accurate, but accept no responsibility and disclaim all liability in respect to any errors, omissions, inaccuracies or misstatements contained. Interested parties should make their own enquiries to verify the information contained in this advertisement.",
  "auction": null,
  "product_depth": "premiere",
  "introduction": null,
  "inspection_times": {
    "ire_inspection_times_count": 0,
    "ire_integration": null,
    "grouped_by_day": [],
    "__typename": "InspectionData",
    "registrations_enabled": false
  },
  "title": "Modern Corbett-Built Home with Shed in Prime Location",
  "faq": null
}
]

Implementation Guide

Create an Apify account and locate the Realestate.com.au Property Details Scraper in the store. Identify target properties by browsing Realestate.com.au with your search criteria (suburb, price range, property type), then copy URLs from individual listing pages.

Configure your input JSON with collected URLs and proxy settings. For Australian properties, use "apifyProxyCountry": "AU" for optimal performance. Group 50-100 URLs per run for efficient processing while maintaining easy monitoring.

Launch the scraper and monitor execution through the Apify console. Processing time varies by property complexity and image count, typically handling 50 properties in 5-10 minutes. Review sample results during execution to verify data quality.

Download completed data in your preferred format. JSON suits programmatic analysis and database integration. CSV works for Excel-based analysis, property comparison spreadsheets, and quick reviews. For ongoing market monitoring, schedule daily or weekly runs to capture new listings and price changes automatically.

Error Handling Tips:

If specific URLs fail, verify they're active listings (not sold/removed properties). Realestate.com.au removes listings shortly after sale, so URLs from old searches may no longer be valid. The scraper logs detailed error information for troubleshooting. For listings showing "Contact agent" pricing, expect null values in price fields—these require manual agent contact.

Business Applications and Strategic Value

Investment Portfolio Management:

Property investors use this data to track target suburbs systematically. By scraping all properties in specific price ranges and locations weekly, investors identify new opportunities immediately upon listing. Comparing feature sets and prices per square meter reveals undervalued properties and negotiation leverage.

Market Research and Analysis:

Analysts track median prices, days on market (inferred from listing dates), and feature prevalence across regions. Time series data shows price trends, seasonal patterns, and market heating or cooling. Geographic analysis using address data identifies emerging hotspots where prices are appreciating faster than surrounding areas.

Competitive Intelligence for Agents:

Real estate agencies monitor competitor listings in their territories. Analyzing competitor pricing strategies, marketing quality (via media counts), and inspection frequency informs their own listing approaches. Agent performance data reveals which agents are most active in specific segments.

Property Development Research:

Developers analyze existing properties in target areas to understand what's selling, at what prices, and with what features. This informs development plans, feature inclusion decisions, and pricing strategies. Comparing land-to-building ratios and property sizes guides density planning and development feasibility analysis.

Automated Valuation Models:

Data scientists build property valuation models using features, sizes, locations, and sale prices. Machine learning models trained on comprehensive listing data predict property values more accurately than traditional approaches. Regular data updates improve model accuracy as market conditions evolve.

Data Quality and Sustainable Practices

Implement validation checks to ensure data integrity. Verify that essential fields (address, property type, price) are present. Flag anomalies like unusually high prices per square meter or missing property features that might indicate scraping errors.

Enrich scraped data with external sources. Combine Realestate.com.au data with suburb demographic statistics, school ratings, transport infrastructure data, and historical sales records from Domain.com.au for comprehensive property intelligence.

For large-scale operations, rotate between property types and regions rather than scraping entire categories simultaneously. This distributes load and reduces detection risk. Store historical data systematically to track individual property journeys from listing through price changes to sale.

Respect platform resources by implementing appropriate delays between requests (handled by the scraper) and avoiding unnecessary re-scraping of unchanged listings. Check listing modification dates to determine when re-scraping is necessary.

Conclusion

The Realestate.com.au Property Details Scraper provides systematic access to Australia's most comprehensive property database. Whether conducting market research, managing investment portfolios, or analyzing real estate trends, this tool delivers the structured data necessary for informed decision-making in Australia's dynamic property market.