Dataset MarketplaceReal-estateAustralia real estate properties

Australia real estate properties

Use our Australia real estate dataset to explore detailed property information, including location, room size, sales history, and more. Popular use cases include forecasting housing demand, analyzing price fluctuations, and monitoring market trends. Use it for enrichment, market research, and lead generation — sample the fields free, then pull the records you need on demand.
realestate.com.au Public web data Monthly refresh
Data-fields
45
Total records
23.77M
Price
up to $0.005/record
Min order
$350
Data sample
Description
Statistics
Dictionary
Related
Data sample
statepostcodedb_sourcetimestampyear_builtproperty_typelast_sold_daterea_property_id
NT087217846187511382026-07-21House21094443
Qld434017846187511382026-07-21House5566835
Qld410117846187511382026-07-21House2026-06-02T00:00:00.000Z5726019
WA617117846187511382026-07-21House2026-07-07T00:00:00.000Z10360430
Vic350517846187511382026-07-21House2026-06-19T00:00:00.000Z3891852
NSW245017846187511382026-07-21House2026-04-24T00:00:00.000Z9163961
NT081217846187511382026-07-21House2002-09-20T00:00:00.000Z8325589
NT080017846187511382026-07-21Unit2024-02-16T00:00:00.000Z11380902
QLD421717846187511382026-07-21Apartmentproperty-apartment-qld-surfers+paradise-107543303
ACT260917846187511382026-07-21House11503565
SA534017846187511382026-07-21Residential Landproperty-residential+land-sa-paringa-200308251
Vic306417846187511382026-07-21Unit10694994
Description
The Australia real estate properties dataset standardizes realestate.com.au data into analysis-ready fields: rea_property_id, property_type, state, postcode, year_built, last_sold_date, last_sold_agency, bedrooms, and more. Use our Australia real estate dataset to explore detailed property information, including location, room size, sales history, and more. Popular use cases include forecasting housing demand, analyzing price fluctuations, and monitoring market trends. Common uses include enrichment, lead generation, market and competitor research, and feeding downstream AI models. 23.77M records available, refreshed monthly, from $0.005 per record — minimum order $350. Preview a sample free before you buy.
Record updates over time
9,870
Last 7 days
6,416
7-30 days
2,961
30-90 days
790
90+ days
Data dictionary
Column nameDescriptionTypeFill 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
%