Melbourne housing dataset

Use our Australia real estate dataset to explore a comprehensive range of properties across Melbourne, including houses, apartments, location details, room sizes, past sales data, and more, sourced from realestate.com.au. This dataset provides valuable insights into the Meblourne property market, offering detailed property attributes and market trends.

boston housing dataset
Data-fields
44
Total records
256K+
Starts at
Up to $0.0025 per record
Min Order
$250
GDPR ready

Realestate.com.au dataset sample

Use our Australia real estate dataset, which covers all properties in Australia, to examine a wide range of Australian houses and apartments, such as location, room size, past sales, and more.

Filter the Melbourne housing dataset with a single prompt

Describe exactly what you need, and let AI apply the perfect filters in seconds.

  • Describe data needs in plain English
  • AI applies accurate filters automatically
  • Narrow huge datasets to only what matters to you
  • Cut costs by skipping irrelevant data
  • Export filtered data in your preferred format
Available delivery options
delivery methods
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Maximize value with strategic cost savings

Managed Data Collection_box

Smart Data Updates

Access only "New Records" or "Updated Records," ensuring you pay only for what you need"

dataset bundles

Dataset Bundles

Gain greater value by purchasing two or more datasets together, with exclusive discounts.

discounts

Volume Discounts

Get more for less with significant savings when purchasing large datasets or updates subscriptions

enriched datasets

Enriched Datasets

Save time and resources with pre-built datasets that combine multiple sources into one clean dataset

DATASET MARKETPLACE

Available real estate datasets

Access fresh validated datasets. Ensure hassle-free data access by using ready-made datasets.
  • Demo data in JSON/CSV
  • Fresh records
  • Customize, enrich, and format the data

Zillow properties listing information

Zpid, City, State, HomeStatus, Address, IsListingClaimedByCurrentSignedInUser, IsCurrentSignedInAgentResponsible, Bedrooms, and more.
Real estate
Views9.1K+
Downloads924+

Otodom Poland

Title, Price, Market, Surface, Location, Remote support, Lighting, Advertiser type, and more.
Real estate
Views1.7K+
Downloads665+

Australia real estate properties

Rea property id, Property type, State, Postcode, Year built, Last sold date, Last sold agency, Bedrooms, and more.
Real estate
Views1.4K+
Downloads166+

Zillow price history

URL, Zpid, Date, Event, Posting is rental, Price, Price change rate, Price per squarefoot, and more.
Real estate
Views989+
Downloads73+

Zoopla properties listing information

URL, Property type, Property title, Address, Google map location, Virtual tour, Street view, URL property, and more.
Real estate
Views898+
Downloads92+

Realtor international properties listings

URL, ID, Title, Price, Currency, Description, Images, Bedrooms, and more.
Real estate
Views736+
Downloads72+

Zonaprop Argentina - Properties Listing

URL, Title, GeneratedTitle, Imagenes, Numero de imagenes, Description, Precio, Currency, and more.
Real estate
Views497+
Downloads38+

Inmuebles24 Mexico - Properties Listings

URL, Title, GeneratedTitle, Description, Seller, Precio, Publicado hace, CreatedDate, and more.
Real estate
Views464+
Downloads44+

Metrocuadrado - Properties Listings

URL, ID, Precio, Habitaciones, Banos, Dimension propiedad, Dimension terreno, Comuna Ciudad, and more.
Real estate
Views363+
Downloads20+

Toctoc - Properties Listings

Imagen, No de imagenes, Descripcion, Precio, Currency, Ubicacion, Habitaciones, Banos, and more.
Real estate
Views345+
Downloads9+

Infocasas Uruguay - Properties Listings

URL, ID, Imagen, Descripcion, Precio, Ubicacion, Habitaciones, Banos, and more.
Real estate
Views324+
Downloads15+

Properati Argentina and Colombia - Properties Listings

Type, Name, Estrato, Habitaciones, Banos, M2, Descripcion, Precio, and more.
Real estate
Views314+
Downloads18+

Datasets Pricing

Refresh rate
100K
500K
1M
5M
20M
Complete Dataset
3TB
  • Clean and validated
  • Refreshed monthly
  • JSON/CSV/Parquet

Power AI Agents Instantly

Our Melbourne housing datasets are AI/LLM-optimized: clearly structured, well-documented, with code and
recipes for easy LLM/chatbot integration.

structured data

Structured & Clean

Pre-processed data with consistent schemas, perfect for AI model training and inference.

code examples

Code Examples

Ready-to-use Python, Node.js, cURL, PHP, Go, Java, and Ruby snippets for easy integration with AI workflows.

documentation

Documentation

Comprehensive guides and notebooks for ChatGPT, Claude, and other LLM integrations.
                              curl --request GET 
--url https://api.brightdata.com/datasets/snapshots/{id}/download 
--header 'Authorization: Bearer '
                              
                            
                              import requests
url = "https://api.brightdata.com/datasets/snapshots/{id}/download"
headers = {"Authorization": "Bearer "}
response = requests.get(url, headers=headers)
print(response.json())
                              
                            
                              const url = 'https://api.brightdata.com/datasets/snapshots/{id}/download';
const options = {method: 'GET', headers: {Authorization: 'Bearer '}, body: undefined};

try {
const response = await fetch(url, options);
const data = await response.json();
console.log(data);
} catch (error) {
console.error(error);
}
                              
                            
                              HttpResponse response = Unirest.get("https://api.brightdata.com/datasets/snapshots/{id}/download")
.header("Authorization", "Bearer ")
.asString();
                              
                            
                              require 'uri'
require 'net/http'

url = URI("https://api.brightdata.com/datasets/snapshots/{id}/download")

http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true

request = Net::HTTP::Get.new(url)
request["Authorization"] = 'Bearer '

response = http.request(request)
puts response.read_body
                              
                            

Melbourne housing datasets tailored to your needs

Get easy to use, well-structured datasets for any use case

Data subscription

Subscribe to access datasets at a significantly reduced cost.

File output formats

JSON, NDJSON, JSON Lines, CSV, Parquet. Optional .gz compression.

Flexible delivery

Snowflake, Amazon S3 bucket, Google Cloud, Azure, and SFTP.

Scalable data

Scale without worrying about infra, proxy servers, or blocks.

Cost savings

Customize any dataset using filters and formatting options.

unlimited sessions

Code maintenance

Datasets are maintained based on website structure changes.

Simplified integrations

Benefit from integrations with Snowflake and AWS.

support

24/7 support

A dedicated team of data professionals is here to help.

Leaders in compliance

Data is ethically obtained and compliant with all privacy laws.

Get structured and reliable Melbourne housing data

We’ll provide the data while you focus on the rest

High-volume web data

With our unblocking capabilities and round-the-clock IP rotation we ensure access to all data points on a website.

Data for immediate use

Every aspect of the data collection process is thoroughly validated as part of our robust data validation process.

Automated data flow

Create custom schedules to automate data delivery and watch the data flow seamlessly into your storage.

How companies use Melbourne housing datasets

Discover trends

Discover trends in property prices, rental yields, vacancy rates, and sales volumes by analyzing Melbourne housing datasets. Make informed investment decisions and maximize returns.
Get dataset
Find investment opportunities

Market analysis

Determine the value of residential properties based on comparable sales, property characteristics and market trends in Melbourne. Price properties competitively and effectively.
Get dataset
Asses property valuation

Sales strategies

Improve marketing and sales strategies by analyzing Melbourne housing datasets for consumer preferences, purchasing behavior, and demographics.
Get dataset
Marketing strategies

Melbourne housing Dataset FAQs

The Melbourne housing dataset includes various data points that fit your needs. Some of the data points include: property ID, suburb, property type, number of bedrooms, bathrooms, and car spaces, land size, price, agent details, agency, recent sales, property photos, location, and more.

 

 

 

Yes, you can get updates to your Melbourne housing dataset on a daily, weekly, monthly, or custom basis.

Yes, you can purchase a Melbourne housing subset that will include only the data points you need. By purchasing a subset, cost is reduced substantially.

Dataset formats are JSON, NDJSON, JSON Lines, CSV, or Parquet. Optionally, files can be compressed to .gz.

If you don’t want to purchase a dataset, you can start scraping Melbourne housing data using our Real Estate Scraper API.

Yes, you can request sample data to evaluate the quality and relevance of the information provided. This is a great way to ensure it meets your needs before committing to a full dataset.

Yes, you can request specific data points from the Melbourne housing dataset tailored to your unique needs, ensuring you receive precisely the information you require for your projects.

Absolutely, the Melbourne housing dataset offers seamless API integration, allowing you to effortlessly integrate the data into your CRM, analytics tools, or any other systems you use, streamlining your operations.

Get your Melbourne housing dataset today.