Domain Com Au Property Scraper avatar

Domain Com Au Property Scraper

Pricing

from $2.00 / 1,000 results

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Domain Com Au Property Scraper

Domain Com Au Property Scraper

Extract listings from Domain.com.au. Paste URL and get a clean dataset instantly. Example: https://www.domain.com.au/{sale|rent|sold}/newtown-nsw-2042/?page=1 — each page returns 20 listings, increase the page for more listings. Download as JSON, CSV, or Excel. Contact for errors/pricing issues.

Pricing

from $2.00 / 1,000 results

Rating

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Developer

Void

Void

Maintained by Community

Actor stats

0

Bookmarked

2

Total users

1

Monthly active users

6 days ago

Last modified

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Domain.com.au Property Scraper

Extract structured property listing data from Domain.com.au search pages — no technical setup required.


What it does

Paste in any Domain.com.au property search URL and this actor will return all listings from that page as a clean, structured dataset ready to download as JSON, CSV, or Excel.


Input

FieldTypeDescription
urlstringA Domain.com.au search page URL

Example:

{
"url": "https://www.domain.com.au/sale/erskineville-nsw-2043/?page=1"
}

Supported URL types:

  • /sale/ — properties for sale
  • /rent/ — properties for rent
  • /sold/ — recently sold properties

Output

Every row in the dataset is one property listing, including:

  • Listing URL
  • Price / price guide
  • Address
  • Property features (beds, baths, car spaces)
  • Images
  • Listing type

Download directly from the Apify Console as JSON, CSV, or Excel.


Limitations

  • One search page per run
  • Results reflect what is publicly visible on Domain.com.au at the time of the run

Error messages

MessageWhat it means
No URL providedInput field was left empty
Invalid URLURL does not point to domain.com.au
Request timed outDomain.com.au did not respond — try again shortly
No listings foundNo results found for this search — check the URL is a valid search page

Support

If something isn't working, contact me via the Apify Store and include the URL you were trying to scrape and the error message from the run log.