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Real Estate AU Scraper — Realestate.com.au | Lagic

Built ForReal EstateFinancial ServicesProperty Development

Extract property listings, agent details, and sold prices from Realestate.com.au.

Curated by Lagic·Verified working

Configure Agent

How to find properties to scrape

Search result page URLs to scrape (e.g. ). Must be search pages, not individual property pages.

Type of property listings to scrape

How far back to search for sold listings. Only applies when listing type is 'Recently Sold'. Has no effect on buy/rent.

Filter by property type (leave empty for all)

Minimum property price (AUD)

Maximum property price (AUD)

Minimum number of bedrooms

Results to deliver

300 credits

This agent actively searches live listings — results may vary. You are only charged for what is delivered, up to this number.

Lagic Proxy

Country auto-rotated. Need a specific region? Contact support.

Pricing

3 credits per result
✓ 30 free credits on signup✓ Refund if 0 results✓ No card required

Sample Data Preview

Full property address including street, suburb, state, and postcode.Geographic coordinates (latitude and longitude).Pricing details, including the listed price, price range, or the final sold price.Detailed property features like number of bedrooms, bathrooms, parking spaces, land size, and property size.Listing agent and agency information, including names, phone numbers, and profile URLs.Links to all property media such as images, floorplans, and videos.
Value...Value...$19.99970https://...https://...
Value...Value...$19.99983https://...https://...
..................
Exports as:CSVXLSXJSON

Overview

Get detailed data from Australia's largest property portal, including property features, pricing, agency contacts, and sales history. Use it for market analysis, competitor tracking, or lead generation.

This tool pulls structured data directly from Realestate.com.au, letting you bypass manual data collection. You can extract listings for sale, for rent, or properties that have recently sold. The data includes everything from the property's address and features (bedrooms, bathrooms, land size) to the listing agent's contact information and the full marketing description. ### Who is this for? * **Real Estate Agencies:** Monitor competitor activity, track market prices in your key suburbs, and identify agents who are closing a lot of deals. Use sold listings to find potential new clients who may be looking to buy or sell again. * **Property Investors & Analysts:** Research suburb-level trends, compare asking prices to final sale prices, and calculate potential rental yields. Build your own dataset of property values over time without relying on expensive third-party reports. * **Mortgage Brokers & Financial Services:** Identify recent buyers who may need financing or refinancing services. The contact details for listing agents can also provide a warm entry point for building referral networks. * **Marketing & Home Services:** Businesses in moving, renovations, solar installation, or interior design can build targeted marketing lists of new homeowners in specific postcodes.

Key Capabilities

  • ✓ Full property address including street, suburb, state, and postcode.
  • ✓ Geographic coordinates (latitude and longitude).
  • ✓ Pricing details, including the listed price, price range, or the final sold price.
  • ✓ Detailed property features like number of bedrooms, bathrooms, parking spaces, land size, and property size.
  • ✓ Listing agent and agency information, including names, phone numbers, and profile URLs.
  • ✓ Links to all property media such as images, floorplans, and videos.
  • ✓ The full marketing headline and property description.
  • ✓ Key dates associated with the listing, such as auction dates, inspection times, and the date sold.
  • ✓ The direct URL to the original listing on Realestate.com.au.
  • ✓ A real estate agency can monitor all new listings and recent sales from competing agencies in their primary suburbs.
  • ✓ A property investor can analyze the price difference between 2-bedroom and 3-bedroom units sold in the last 6 months.
  • ✓ A data analyst can build a historical dataset of rental prices in Brisbane to track market fluctuations.
  • ✓ A marketing firm can compile a contact list of the most active real estate agents in a specific high-value area.
  • ✓ A buyer's agent can find all properties with at least 4 bedrooms and a pool currently for sale under a certain price point.
  • ✓ A mortgage broker can identify properties that sold in the last 30 days to offer services to new homeowners.
  • ✓ A developer can search for properties with a large land size to identify potential development sites.

Field Dictionary

How To Run This Extractor

1

Select your 'Search Mode'. For most users, 'location' is the best starting point.

2

Enter the state and optionally the suburb or postcode you want to search.

3

Choose the 'Listing Type' you need: 'buy', 'rent', or 'sold'.

4

Apply filters such as price range, number of bedrooms, or property type to narrow your search.

5

Set a limit on the 'Maximum Listings' to control the size of your dataset.

6

Click 'Run' and download the extracted property data once the process is complete.

Frequently Asked Questions

Do I need technical skills to use this tool?
No. You can start by simply entering a location and choosing the listing type. No coding is required.
What formats can I export the data in?
Is it legal to scrape data from Realestate.com.au?
How many properties can I scrape at once?
Is this tool suitable for my agency's client work?
How is this different from just browsing the website?
How can I get only sold properties?
Can I get the agent's phone number?
Can I schedule this to run automatically?
How fresh is the data?