Domain.com.au Property Scraper - Australia Sale & Rent avatar

Domain.com.au Property Scraper - Australia Sale & Rent

Pricing

from $14.00 / 1,000 domain.com.au results pages

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Domain.com.au Property Scraper - Australia Sale & Rent

Domain.com.au Property Scraper - Australia Sale & Rent

Scrape Domain.com.au property listings for any Australian suburb, for sale or for rent: listing id, price as displayed, bedrooms, bathrooms, parking, property type, image, link and address where shown. Paging through every results page, batch many suburbs. No proxies needed. Made by ScraperCompany.

Pricing

from $14.00 / 1,000 domain.com.au results pages

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ScraperCompany

ScraperCompany

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Domain.com.au Property Scraper by ScraperCompany collects Australian property listings from Domain.com.au for any suburb, for sale or for rent. Each listing has its listing id, price exactly as Domain.com.au displays it (a figure, a range, "Contact Agent" or an agent's headline), bedrooms, bathrooms, parking spaces, property type, main image and link (which carries the street address), plus the display address where the results page shows one. Page through every results page of a suburb and batch many suburbs in one run. A results page can take up to about a minute. Pricing is pay-per-event: $0.014 per results page; failed requests are not charged.

Proxies, retries and anti-bot handling are built in, so you don't need your own proxies or an API key. Start a run, get structured JSON.

What can this Domain.com.au scraper do?

  • Sale or rent listings for any Australian suburb.
  • Price as displayed: figures, ranges and "Contact Agent" are kept as text, never guessed into a number.
  • Bedrooms, bathrooms, parking and property type on every listing, plus the main image and link.
  • Paging up to 50 pages per suburb, stopping at the suburb's last page.
  • Batch many suburbs; empty pages are free.

Use cases for Domain.com.au data

  • Property investors: Screen stock and asking prices across Australian suburbs, for sale and for rent.
  • Agents and property managers: Monitor new sale and rental listings in your suburbs.
  • Analysts: Track rental supply, bedroom mix and property types by suburb over time.

What Domain.com.au data can you extract?

FieldDescription
listings[].listing_id / urlDomain.com.au listing id and link
listings[].addressDisplay address, where the results page shows one (the link always carries the street address)
listings[].price_textPrice or price guide exactly as displayed
listings[].bedrooms / bathrooms / parkingBedrooms, bathrooms and parking spaces
listings[].property_typeHouse, apartment, townhouse, land...
listings[].imageMain photo
total / total_pagesListings on this page and the number of result pages

Every dataset item also carries input (the exact request that was sent), request_id (quote it to support), billed and scraped_at.

How to scrape Domain.com.au property listings

  1. Open Domain.com.au Property Scraper in Apify Console and go to the Input tab.
  2. Enter suburbs as Domain.com.au suburb slugs (suburb-state-postcode, e.g. bondi-beach-nsw-2026), one per line. Pick Listing type (for sale or for rent) and set Pages per suburb for more listings.
  3. Adjust the options if needed. Dates accept an exact date (2026-12-01) or a relative one (30 days from today), so saved tasks and schedules never go stale.
  4. Click Start and wait for the run to finish.
  5. Download the results from the Output tab as JSON, CSV, Excel or HTML, or fetch them with the Apify API.

Input example

This is the default input; running the Actor without changes uses it.

{
"locations": [
"bondi-beach-nsw-2026"
],
"listingType": "sale",
"maxPages": 1,
"includeErrors": true,
"maxConcurrency": 3,
"maxRetries": 2
}

Output example

One dataset item per request (trimmed here; real items contain every field the API returns):

{
"endpoint": "/v1/domain/search",
"input": {
"location": "sydney-nsw-2000",
"mode": "sale"
},
"listings": [
{
"address": "1 Alfred Street, Sydney",
"bathrooms": 3,
"bedrooms": 3,
"image": null,
"listing_id": "2019522695",
"parking": 1,
"price_text": "Contact Agent",
"property_type": "Apartment",
"url": "https://www.domain.com.au/1-alfred-street-sydney-nsw-2000-2019522695"
}
],
"meta": {
"elapsed_s": 21,
"source": "domain"
},
"search_parameters": {
"engine": "domain_search",
"location": "sydney-nsw-2000"
},
"total": 1,
"total_pages": 49,
"request_id": "req_3f9c0d6e2b8a4c1f9e7d5b3a1c0e8f6d",
"billed": true,
"scraped_at": "2026-10-01T14:03:27.512Z"
}

A request that fails is saved with an error message instead (turn off Include failed requests to skip those). Failed requests are never charged.

How much does it cost to scrape Domain.com.au property listings?

This Actor uses pay-per-event pricing: you pay for successful API requests, not for compute time.

EventCharged whenPricePer 1,000
search-pageOne page of Domain.com.au listings for a suburb. Empty pages are free.$0.014$14.00

For example, 1,000 requests in the default mode cost $14.00.

  • Failed requests (errors, invalid input, blocked upstream after retries) are free.
  • Requests where the source returns nothing at all (no results, nothing priced) are saved but not charged.
  • Set Maximum cost per run when you start a run and the Actor stops cleanly before going over it.

FAQ

Do I need proxies or an API key?

No. Proxy rotation, retries and anti-bot handling are built in, and the Actor is ready to run as is. You only pay the per-event prices above.

How do I write a suburb?

Use the suburb slug from a Domain.com.au search link: suburb name, state and postcode joined by hyphens, in lower case, e.g. surry-hills-nsw-2010 or south-yarra-vic-3141.

Why is a price missing or written as text?

The price is returned exactly as the listing shows it. Many Australian listings show a range, "Contact Agent", "Auction" or a headline instead of a figure, and new developments may have no price, bedrooms or type at all.

Why are runs slower than other scrapers?

A results page can take up to about a minute to collect. Several suburbs run in parallel.

The Actor collects publicly available information that anyone can see without logging in. You are responsible for how you use the results: respect the source site's terms, copyright and privacy law (such as GDPR) and do not collect personal data without a lawful basis. If in doubt, ask a lawyer.

What happens when a request is blocked or rate-limited?

Rate limits (HTTP 429) and temporary errors (5xx) are retried automatically with exponential backoff, respecting Retry-After. If a request still fails it is saved with the error message and not charged, and the rest of the batch keeps going. A run only fails when every request failed.

Why did a request return an error?

Read the error field: validation problems (for example a malformed date or an unknown id) are reported exactly as the API sees them. Fix the input and run again; failed requests cost nothing.

How many requests can I run at once?

Any number per run. The Actor sends up to 3 requests in parallel by default (change it under Run options); larger batches simply take longer.

Use it from your code

Call the Actor from any language through the Apify API. With the JavaScript client (npm install apify-client):

import { ApifyClient } from 'apify-client';
const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor('scrapercompany/domain-property-scraper').call({
"locations": [
"bondi-beach-nsw-2026"
]
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

With Python (pip install apify-client):

import os
from apify_client import ApifyClient
client = ApifyClient(os.environ["APIFY_TOKEN"])
run = client.actor("scrapercompany/domain-property-scraper").call(run_input={
"locations": ["bondi-beach-nsw-2026"],
})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item)

You can also schedule runs, chain them with webhooks, or connect them to Make, Zapier, n8n, Google Sheets and other integrations from the Integrations tab.

Support

Questions, a field you need, or a site that stopped working? Open an issue on the Issues tab. Include the request_id from the dataset item so we can trace the request.