🚀 Scrape search results from realestate.com.au and effortlessly export them to JSON, CSV, Excel, or via API. Simply enter the search page URL to retrieve data—including prices, addresses, features, and contact details (including emails and phone numbers), plus much more! ⚡ Fast & affordable!
🚀 Our blazing fast realestate.com.au search results scraper 🏠 lets you extract real estate ads' information and export them to various format (JSON, CSV, HTML etc..) 🔥 Bring your search URL, and you're good to go! 👉 It enables you to scrape rich details as title, descriptions, photos, addresses, features, price, publisher information (email & phone number included if available) and a lot more.
The scraper has a required startUrl
parameter which is a valid realestate.com.au search URL (optionally with filters applied)
https://www.realestate.com.au/buy/between-0-125000-in-melbourne+-+northern+region,+vic/list-1?source=refinement
https://www.realestate.com.au/rent/property-unit+apartment-villa-in-sydney+cbd,+nsw/list-1?maxBeds=3&source=refinement
https://www.realestate.com.au/sold/property-land-between-0-50000-in-adelaide+-+greater+region,+sa/list-1?source=refinement
realestate.com.au is the largest real estate website in Australia, with hundreds of thousand of ads, there's definitely something for you out there!
So what could you do with all these ads?
These are just some ideas to get you thinking about how web scraping can give you the data you need. Sky is the limit 🚀
The average cost of using this scraper is about $0.09 per 1,000 real estate ads scraped. With Apify's $5 free monthly credit, you can scrape thousands of real estate listings for free! 🤩 For optimal performance, the actor seamlessly uses Apify's residential proxies.
Field | Type | Description | Default value / Example |
---|---|---|---|
startUrl | array | the search page's result link | https://www.realestate.com.au/sold/property-house-townhouse-villa-between-210000-235000/list-1?maxSoldAge=3-month&source=refinement |
This scraper returns a maximum of 2000 ads per search request, which is the same limit as the website. To scrape beyond this limit, divide your search into multiple requests by adjusting filters (e.g., price range, location, etc.) using the filters
button on the website or by modifying the URL directly.
0–900,000
) https://www.realestate.com.au/buy/between-0-900000-in-melbourne+-+northern+region,+vic/list-1?source=refinement
0–450,000
https://www.realestate.com.au/buy/between-0-450000-in-melbourne+-+northern+region,+vic/list-1?source=refinement
450,001–900,000
https://www.realestate.com.au/buy/between-450001-900000-in-melbourne+-+northern+region,+vic/list-1?source=refinement
You can apply this logic to other filters (e.g., date, bedrooms, property type) if needed.
Please also note that this is the first version of the actor, and it currently supports scraping 'buy,' 'rent,' and 'sold' listings only. We are actively working on adding support for 'share' and 'new homes' listings. Stay tuned! (Or contact the developer if it's urgent.)
Output is stored in a dataset. Each item is information about a real estate item:
The scraping result may look like this screenshot:
Yes, if you're scraping publicly available data for personal or internal use. Always review Websute's Terms of Service before large-scale use or redistribution.
No. This is a no-code tool — just enter a job title, location, and run the scraper directly from your dashboard or Apify actor page.
It extracts job titles, companies, salaries (if available), descriptions, locations, and post dates. You can export all of it to Excel or JSON.
Yes, you can scrape multiple pages and refine by job title, location, keyword, or more depending on the input settings you use.
You can use the Try Now button on this page to go to the scraper. You’ll be guided to input a search term and get structured results. No setup needed!