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The Australia Real Estate Properties dataset is a clean, structured, analysis-ready database of 23.77M records across 45 data fields, sourced from realestate.com.au and refreshed monthly. Every record is standardised for enrichment, lead generation, market research and competitor analysis — ready to import into your CRM or data pipeline.
Key fields: rea property id, property type, state, postcode, year built, last sold date, last sold agency, bedrooms, bathrooms, findAgentsURI, and 35 more. See the full data dictionary below.
This is a pay-per-record dataset with a minimum order of 70,000 records. See the order panel for live pricing in your currency (₹ for India, $ elsewhere) — the total scales with the number of records you choose, so the more you buy, the larger the order.
| state | postcode | db source | timestamp | year built | property type |
|---|---|---|---|---|---|
| NT | 0872 | 1784618751138 | 2026-07-21 | House | |
| Qld | 4340 | 1784618751138 | 2026-07-21 | House | |
| Qld | 4101 | 1784618751138 | 2026-07-21 | House | |
| WA | 6171 | 1784618751138 | 2026-07-21 | House | |
| Vic | 3505 | 1784618751138 | 2026-07-21 | House | |
| NSW | 2450 | 1784618751138 | 2026-07-21 | House | |
| NT | 0812 | 1784618751138 | 2026-07-21 | House | |
| NT | 0800 | 1784618751138 | 2026-07-21 | Unit | |
| QLD | 4217 | 1784618751138 | 2026-07-21 | Apartment | |
| ACT | 2609 | 1784618751138 | 2026-07-21 | House |
Sample@if($records) of 2M records@endif — 45 fields total. Purchase to unlock the full dataset.
| Column | Description | Type | Fill rate |
|---|---|---|---|
| rea_property_id | Unique identifier for the property in the dataset | Text | 100% |
| property_type | Type or category of the property | Text | 99.54% |
| state | The state in Australia where the property is located | Text | 98.39% |
| postcode | The postal code of the property | Text | 98.39% |
| year_built | The year when the property was built | Number | 11.67% |
| last_sold_date | Date when the property was last sold in sales history | Date | 43.24% |
| last_sold_agency | Agency involved in the last sale of the property in sales history | Text | 52.77% |
| bedrooms | Number of bedrooms in the property | Text | 68.64% |
| bathrooms | Number of bathrooms in the property | Text | 62.83% |
| findAgentsURI | URI (Uniform Resource Identifier) for finding agents related to the property | Text | 29.62% |
| floor_area | Total floor area of the property | Text | 10.45% |
| fullSuburb | Full name of the suburb where the property is located | Text | 98.39% |
| house_type | Type of house | Text | 99.54% |
| lat | Geographic latitude of the property location | Number | 97.51% |
| lon | Geographic longitude of the property location | Number | 97.51% |
| photo_count | Number of photos associated with the property | Number | 62.35% |
| images_urls | URLs pointing to images of the property | Array | 62.33% |
| street_address | Complete address of the property | Text | 98.39% |
| suburb | Name of the suburb where the property is located | Text | 100% |
| url | URL pointing to the property listing | Url | 100% |
| land_size | Combined land size information (numeric value + unit) | Text | 77.75% |
| sales_history | Historical sales information for the property | Array | 44.1% |
| land_size_num | Numeric value representing the land size of the property | Number | 74.63% |
| land_size_unit | Unit of measurement for land size (eg, square meters) | Text | 77.75% |
| floor_area_num | Numeric value representing the floor area of the property | Number | 71.2% |
| avm_estimate_lastUpdated | Date when the Automated Valuation Model (AVM) estimate was last updated | Text | 50.65% |
| estimated_price | Estimated price of the property | Text | 32.59% |
| estimated_price_confidence | Confidence level associated with the estimated price | Text | 0.01% |
| estimated_value | Estimated value of the property | Text | 0.45% |
| estimated_value_high | High range of the estimated property value | Text | 0.01% |
| estimated_value_low | Low range of the estimated property value | Text | 0.01% |
| offMarket | Indicates whether the property is currently off the market | Text | 99.99% |
| parking | Information about parking spaces associated with the property | Number | 57.84% |
| listing_type | Listing type (rent/sale) | Text | 99.54% |
| availability | Column indicates if an item is available for use. Contains only NULL values in the sample, suggesting a boolean or status field that needs population. | Text | 0.47% |
| rent_price | The rent price | Number | 0.47% |
| rent_currency | Rent price currency | Text | 32.53% |
| rent_bond | The rent_bond column stores security deposit amounts for rentals. Contains numeric values in the local currency, with null values present. | Text | 0% |
| sold_date | Column records the date when an item was sold. Contains date values in standard format, with a significant number of null values present. | Date | 30.57% |
| property_history_link | Column contains links to property history pages. Values are URLs, with all values being NULL in the sample. | Url | 29.18% |
| description | Column stores descriptive text about an entity. Contains free-form text strings with null values allowed. | Text | 31.79% |
| agents | Column stores agent names handling customer interactions. Values are text strings representing agent names, with many null values present. | Array | 30.05% |
| branding | Branding of the property according to the tag's class name | Text | 17.38% |
| listed_at | Listing publish date computed from the “Added X days ago” badge | Date | 31.28% |
| timestamp | Date | — |
The Australia Real Estate Properties dataset contains approximately 23.77M records across 45 fields, refreshed monthly.
It is priced per record with a minimum order of 70,000 records. See the order panel on this page for live pricing in your currency (₹ for India, $ elsewhere) — the total scales with the number of records you select.
Fields include rea property id, property type, state, postcode, year built, last sold date, last sold agency, bedrooms and more — the complete list is in the data dictionary on this page.
It is aggregated from realestate.com.au and other public, compliant sources, then cleaned, standardised and de-duplicated before delivery.
As a structured CSV/Excel export ready for CRM import or BI analysis, delivered after purchase. A free sample is available on this page.
The dataset is refreshed monthly so records stay accurate for outreach and analysis.
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2,000,000 records available · built from the live database at purchase, delivered as CSV.
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Last Update:
Aug 19, 2026 17:39 PM
Published:
Jul 21, 2026 11:25 AM
Country:
Australia
Total records:
2,000,000
Category:
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