realestate.com.au and Domain dominate Australian property search — between them, they hold virtually every residential listing in the country. For PropTech founders, property investors, and analytics platforms, scraping these two portals is foundational. But Australian property data has unique characteristics — it's auction-driven, suburb-focused, and often quotes price guides rather than fixed prices. This guide covers how to scrape Australian property data properly in 2026.
realestate.com.au (REA) is the larger portal; Domain is the strong number two. Their listing coverage overlaps substantially but not completely — and crucially, their auction-results reporting differs. For comprehensive Australian property intelligence, you need both. Investors relying on a single portal miss inventory and have incomplete auction data.
| Field | Why It Matters |
|---|---|
| Suburb + state + postcode | Geographic clustering |
| Property type | Comparability |
| Bedrooms / bathrooms / car spaces | Standard Australian config |
| Listing price or price guide | Primary signal |
| Land size | Value driver, especially houses |
| Rental price (per week) | Yield calculation |
| Auction date (if applicable) | Auction-market signal |
| Auction result | Clearance tracking |
| Days on market | Demand signal |
| Agent + agency | Market activity |
Australian property — especially in Sydney and Melbourne — is heavily auction-driven. This creates data complexity. Listings often show a price guide or a range rather than a fixed asking price. Properties go to auction, where they either sell (with a result) or are 'passed in'. Auction clearance rates by suburb are a key market-health indicator. Production Australian property scraping must handle price-guide parsing and capture auction results — not just listing data.
Australian property analysis is intensely suburb-focused. Australians discuss the market suburb by suburb — median prices, clearance rates, rental yields, and growth are all tracked at suburb level. Production intelligence aggregates data at suburb granularity, because that's the unit at which Australian property decisions are actually made. Postcode-level aggregation is too coarse; suburb is the standard.
The same property is often listed on both REA and Domain, sometimes by different agents with different photos and descriptions. Deduplication requires Australian address normalisation (street, suburb, state, postcode), land-size and configuration matching, and photo-hash similarity. Production deduplication achieves 96-97% accuracy across the two portals.
Both REA and Domain have meaningful anti-bot protection — bot management, behavioural fingerprinting, and rate-limiting. Production scraping requires Australia-region residential proxies, full browser rendering with stealth configuration, session persistence, and randomised human-like delays. Realistic sustained throughput: 80-120 listing pages per minute per IP cluster.
Australian rental yields are typically calculated from weekly rent — gross yield is (weekly rent × 52) divided by purchase price. Net yield additionally accounts for strata fees (for units/apartments), council rates, water rates, property management fees, and maintenance. Production intelligence computes both gross and net yields, giving investors a complete picture.
Standard portal data tells you what's for sale. Real investment intelligence layers additional Australian datasets: suburb median price history, school catchment zones and ratings, public transport proximity, flood and bushfire risk overlays, and recent comparable sales. Combining these produces investor-grade underwriting datasets.
Public Australian property listings are widely scraped, and public-data scraping is generally legally defensible in Australia when conducted responsibly. The main compliance issue is the Privacy Act 1988 around personal data — agent contact details are personal information. Minimise personal data collection. Portal Terms of Service prohibit scraping; for commercial use, work with a compliance-disciplined vendor.
REA and Domain have APIs for real-estate agents and partners, but not for general investor or analytics use. Scraping is the standard approach for these use cases.
New listings appear within hours; auction results within hours of the auction; price-guide changes within hours-to-days.
Yes — state valuer-general data and recent sales records, where accessible, complement portal listings for comprehensive Australian property intelligence.
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