Extract Australian property listings from Domain.com.au: search by suburb, coordinates, URL or bulk-suburb list across buy, rent and sold. Get prices, beds/baths/parking, addresses, agents, schools, floorplans and market insights with median-price A$ KPIs — export clean JSON, CSV or Excel.
All notable changes to Domain.com.au Scraper — AU Buy, Rent & Sold Listings will be documented in this file.
2026-07-01
🎉 Domain.com.au Scraper — Launch (v1.0)
Buy + Rent + Sold in one actor — sweep all three Australian channels per query (PAID); investors finally get live asking prices AND sold-archive comps in a single Domain.com.au dataset.
Four search modes — bylocation (free-text suburb / postcode + optional suburbId), bycoordinates (lat/lon + km radius), byurl (paste a Domain.com.au search URL), and bulklocations (array of suburbs, PAID).
Structured neighbourhood + market intelligence — optional detail enrichment returns typed schools[], 5-year marketInsights (price series, price guide, recent-sales low/high band, price direction), and floorplans — where the raw-JSON scrapers stop at the listing.
A$ market KPIs out of the box — median sale / rent / sold (AUD), distribution percentiles (min · median · avg · p90 · max), top-10 suburbs by listing count, state breakdown, and property-type tally — computed in-run.
Auction + sold-date archive — listingType=sold returns the final sold price and sold date, and isAuction flags listings heading to auction. Built for valuation comps and auction-clearance research.
HTML market report — auto-saved to the run's key-value store as report.html; investor / buyer's-agent ready, shareable as-is.
💎 User Benefits
Underwrite Australian deals from data, not gut feel — comps, sold prices, auction flags, schools, and suburb medians in one Domain.com.au run.
Structured over raw — typed schools and 5-year market insights ready for your AVM or model, not an unstructured JSON blob you have to reshape.
No vendor lock-in — clean JSON / CSV / Excel export from the Apify dataset UI; pipe straight into Airtable, PowerBI, Google Sheets, your AVM, or your buyer-agent CRM.
Charged only on success — failed extractions and failed enrichments never fire a charge event; input is validated before any charge.
Hard-capped FREE tier — test the full feature set on up to 25 listings per run, no credit card required.
🎯 Use Cases
Australian property investors auto-pulling live + sold comps for any suburb, ranking by median price per beds/baths cohort.
Buyer's agents bulk-sweeping client wishlists across multiple eastern-beaches / inner-city / sun-belt suburbs in one PAID run.
Valuation analysts training hedonic AVMs on the sold-mode archive (sold price + sold date + schools + market insights).
PropTech newsletters & agency CEOs generating monthly suburb market updates with median, percentile distribution, and property-type mix.
Real-estate buyer's-agent teams mapping active agencies and agents across suburbs — listing inventory, brand share, and outreach targets.
