We extract residential and commercial listings, auction clearance rates, historical sales, and agency performance metrics from realestate.com.au. Delivered as clean JSON, CSV, or Parquet to S3, BigQuery, or Snowflake.
Structured, schema-consistent data across all major object types — delivered clean, typed, and ready to query.
Complete list of extractable fields for Property Listings objects from realestate.com.au. All fields typed and schema-versioned.
"property_id": "142981396", "address": "42 Wallaby Way", "suburb": "Sydney", "state": "NSW", "postcode": "2000", "property_type": "House", "bedrooms": 4, "bathrooms": 2, "parking_spaces": 2, "price_guide": "Contact Agent"
| # | property_id | address | suburb | state | postcode | property_type |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Historical Sales objects from realestate.com.au. All fields typed and schema-versioned.
"property_id": "142981396", "sale_date": "2023-11-14", "sale_price": 2450000.0, "sale_type": "Auction", "days_on_market": 28, "previous_sale_date": "2015-04-10", "previous_sale_price": 1250000.0
| # | property_id | sale_date | sale_price | sale_type | days_on_market | previous_sale_date |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Suburb Profiles objects from realestate.com.au. All fields typed and schema-versioned.
"suburb": "Richmond", "state": "VIC", "postcode": "3121", "median_house_price": 1420000.0, "median_rent": 650.0, "rental_yield": 2.4, "clearance_rate": 72.5, "days_on_market_avg": 34
| # | suburb | state | postcode | median_house_price | median_unit_price | median_rent |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Agency & Agent Data objects from realestate.com.au. All fields typed and schema-versioned.
"agency_id": "AG-9482", "agency_name": "Ray White Richmond", "agent_id": "AGT-11294", "agent_name": "Sarah Jenkins", "active_listings_count": 14, "properties_sold_12m": 42, "median_sale_price": 1350000.0
| # | agency_id | agency_name | agent_id | agent_name | contact_number | |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Rental Listings objects from realestate.com.au. All fields typed and schema-versioned.
"property_id": "R-884921", "address": "12/45 Queen St", "suburb": "Brisbane City", "state": "QLD", "postcode": "4000", "weekly_rent": 550.0, "bond_amount": 2200.0, "available_date": "2024-02-01", "pet_friendly": false
| # | property_id | address | suburb | state | postcode | property_type |
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Our realestate.com.au scraper handles every layer of the platform: residential listings, commercial properties, historical sales, and agency performance - with JavaScript rendering, session management, and anti-bot circumvention built in.
Extract bedrooms, bathrooms, land area, floorplans, high-resolution image URLs, and full description text for every active listing.
Capture current price guides, statement of information (SOI) documents, and historical sale prices for accurate valuations.
Monitor weekend auction results, passed-in properties, sold prior metrics, and clearance rates at the suburb level.
Extract lease terms, floor space, zoning types, and outgoings for commercial listings on realcommercial.com.au.
Scrape realestate.com.au property value estimates, confidence intervals, and rent yield projections.
Track properties sold, median sale price, days on market, and active listing volume for individual agents and agencies.
Extract population data, demographic segments, lifestyle indicators, and school catchment zones.
Monitor price drops, status changes (Under Offer to Sold), and days on market with diff-based extraction.
Capture latitude and longitude data for precise mapping and spatial analysis in your GIS tools.
Brief in. Clean data out.
Provide target postcodes, property types, or agent IDs. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, proxy rotation, session management, and CAPTCHA handling for realestate.com.au.
Schema validation, null-rate checks, price-outlier detection, and coordinate verification before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
REA Group invests heavily in scraping detection. Here is how we stay resilient - and why teams choose managed infrastructure over DIY.
REA Group employs sophisticated bot protection. Our crawlers use Australian residential ISP proxies with realistic browser fingerprints, randomised request timing, and full cookie session management to blend in.
Property detail pages and interactive maps are heavily JavaScript-rendered. We run full Playwright browser sessions to trigger lazy-loaded images, floorplans, and dynamic pricing widgets.
Realestate.com.au frequently updates its DOM and JSON payload structures. We use multiple fallback chains and intercept backend GraphQL responses directly to ensure schema stability.
For large national catalogues, we maintain a hash index of last-seen values per property. Subsequent runs only push diffs, capturing price drops and status changes without full re-dumps.
Every run emits structured logs to our observability stack. We alert on null-rate spikes, proxy blocks, schema drift, and coverage drops. SLA uptime is contractual, not aspirational.
PropTech companies feed historical sales, land size, and property features into ML models to generate real-time property valuations.
Institutional investors track rental yields, days on market, and capital growth trends to identify high-performing suburbs.
Real estate agencies monitor competitor listing volumes, time on market, and market share across specific postcodes.
Brokers monitor 'Under Offer' and 'Sold' statuses to time outreach to potential buyers and sellers.
Researchers and urban planners analyse zoning data, development approvals, and demographic shifts across metropolitan areas.
Insurers cross-reference building materials, roof types, and proximity to hazard zones using property image and description data.
"Realestate.com.au holds the absolute ground truth for the Australian property market. If you are building PropTech, you need this data flowing directly into your warehouse."
Most teams underestimate the investment required: reliable REA scraping requires Australian residential proxies, full JavaScript rendering, CAPTCHA handling, daily selector maintenance, and anomaly monitoring. DataFlirt absorbs that complexity so your engineers can focus on the analysis - not the infrastructure.
Everything supported by our realestate.com.au scraper — rendered SPA elements, auth walls, rate-limit evasion and beyond.
Open-source tooling on proven cloud infra — no vendor lock-in, full observability.
Scrapy handles crawl orchestration, deduplication, and retry logic. Playwright handles JavaScript rendering, cookie sessions, and interaction flows. Combined via scrapy-playwright middleware.
We maintain pools of residential ISP proxies specifically for the AU region. Rotation happens per-request with sticky sessions where required. IP score monitoring prevents blacklisted pool contamination.
Pipelines run on AWS Lambda (burst) and ECS (sustained). Airflow handles scheduling, dependency management, and SLA alerting. All state stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About realestate.com.au scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available property information is generally permissible under Australian law, provided it does not breach copyright or specific Terms of Service restrictions. DataFlirt extracts only public, non-authenticated listing, agency, and historical data. We do not extract personal user data or circumvent authentication walls. Clients should consult legal counsel for specific commercial use cases.
We use Australian residential ISP proxies, full Playwright browser sessions with realistic fingerprints, and request timing modelled on human behaviour. We monitor for 403/CAPTCHA rate spikes in real time and trigger pool rotation automatically.
Yes. We can extract the complete sales history for a given address or suburb, including previous sale dates, sale prices, and days on market, where publicly available on the platform.
Yes. We support extraction from realcommercial.com.au using the same infrastructure, capturing lease terms, floor space, zoning, and outgoings.
Real-time streaming pipelines achieve sub-60-minute latency for status changes (e.g., transitioning from 'Active' to 'Under Offer'). Full state-level or national catalogue refreshes typically complete within a 12-24 hour window.
Yes. We extract the direct URLs for floorplans and high-resolution images. For Victorian properties, we can also extract the SOI PDF link and parse the indicative selling price and comparable sales.
Our smallest packages start at a defined postcode list (typically 50-100 postcodes) with weekly delivery. For national coverage or custom schema requirements, we price based on volume and delivery frequency.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a weekly suburb export or a continuous national feed of every active listing in Australia - we scope, build, and operate the pipeline. Tell us what you need.
