Property.com.au Scraper: Listings, Price History, Schools and Market Data

Property.com.au Scraper turns Property.com.au into structured property data. Search by suburb, postcode or free text, or paste search page links, and get back full listing records: address, price, features, a complete price history timeline, nearby schools, planning overlays, internet availability and estimated sale or rental value. Covers buy, rent and sold listings, and exports to JSON, CSV or Excel, or straight into your app through the API.

Why This Scraper?

• Two ways to search. Give it a suburb name, postcode or free text and it resolves the location itself, or paste Property.com.au search page URLs directly and let it walk the pages.
• Detail-page enrichment, not just search cards. Every listing is opened individually for its full price history timeline, nearby schools, planning overlays, internet availability and an estimated sale/rental value, on top of the usual address, price and features.
• Fine grained filters. Price range, bedrooms, bathrooms, car spaces, land size, property type, keywords, under-offer exclusion and sort order, all in listing mode.
• Buy, rent and sold in one actor. Switch listing type per run, or auto-detect it from a pasted URL.
• Accumulate across runs. Name a dataset to keep appending results from repeated or scheduled runs into one growing collection, with an option to clear it first.
• Export to your apps. Pipe results into Notion, Linear, Airtable or Apify through MCP connectors, no extra glue code.
• Clear stop conditions. A run only fails on a real configuration problem, such as an unresolvable location or a missing proxy; everything else returns whatever could be read.

Use Cases

• Buyers and agents: track new listings and price movement for suburbs you're watching.
• Property investors and analysts: build a dataset of prices, land size and estimated values across suburbs to compare opportunities.
• Renters: monitor rental listings and price changes in target areas.
• PropTech and research teams: feed schools, planning overlay and internet availability data into your own tools.
• Comparables tracking: pull sold listings to benchmark recent sale prices near a property you're evaluating.

Data You Get

Sample shape: values are illustrative placeholders, not from a live record.

Field	Example
id	"8292817364"
address	"12 Example Street, Southbank VIC 3006"
suburb / state / postcode	"SOUTHBANK" / "VIC" / "3006"
latitude / longitude	-37.8226 / 144.9648
listing_type	"buy" (also "rent", "sold")
listing_status	"For Sale"
property_type	"apartment"
price / price_details	"$750,000 - $800,000" / "Contact agent for a price guide"
features.bedrooms / features.bathrooms / features.car_spaces	2 / 2 / 1
features.land_size / features.floor_area / features.built_year	"450m2" / "120m2" / 2015
description	property description text
timeline	price history events: listed, sold, leased, auction, each with date, price and agent when available
value_estimates	estimated sale and rental value, with a confidence rating and range, when published for the property
schools	nearby primary and secondary schools with zoning and distance
planning_overlays	bushfire, flood and heritage overlay flags
land_description / council	zoning text / local council name
internet	NBN connection type and quality for the address
market_insights	suburb median price and rent, with 12 month growth
media	image count and image URLs (full set on a residential proxy, see Plan Requirement)
property_url	Property.com.au link to the listing
rea_url	link to the same listing on a partner listings site, when available
breadcrumbs	location hierarchy shown on the listing page
status	"success"
source_listing / source_listing_type / scraped_at	the search URL, listing type and timestamp this record came from

A separate run summary (mode, total listings scraped, duration, throughput, end time) is written to the run's key-value store as METADATA.

How to Use

1. Pick a mode: listing (search by suburb, postcode or free text, with filters) or url (paste Property.com.au search page URLs directly).

2. In listing mode, set your location and filters. In URL mode, paste one or more search URLs; listing-mode filters are ignored there, so encode them into the URL instead.

   Supported URL shape: search pages of the form https://www.property.com.au/search/?locations=Southbank%2C+VIC+3006, optionally with propertyStatus=FOR_RENT, pageNumber=N and any filter the site puts in the query string (these are applied as pasted). Property detail pages (...-pid-<id>/) and path-style /buy/, /rent/, /sold/ pages are not supported: each is skipped with a warning in the log. If you leave Search Page URLs untouched in URL mode, the run scrapes the three example search URLs (for sale, for rent and sold, Southbank VIC 3006) shipped as the default. Max Properties is a run-wide total filled in URL order, so the default of 20 can be used up by the first URL before the others are reached; raise it to cover all three; this is a change from earlier versions, which stopped with a no-URLs error.

3. Set Max Properties and Max Pages to control run size and cost, and choose a proxy (Residential + AU gives the complete dataset, see Plan Requirement).

4. Click Start, then download the dataset as JSON, CSV or Excel, or read it through the API.

Search a suburb, buy listings:

{
  "mode": "listing",
  "search": "southbank",
  "listing_type": "buy",
  "max_properties": 20
}

Search by postcode with price and bedroom filters:

{
  "mode": "listing",
  "search": "3006",
  "listing_type": "buy",
  "propertyTypes": ["HOUSE", "TOWNHOUSE"],
  "priceMin": 500000,
  "priceMax": 900000,
  "bedroomsMin": 2,
  "max_properties": 100,
  "max_pages": 5
}

Paste a search page URL (rentals):

{
  "mode": "url",
  "urls": ["https://www.property.com.au/search/?locations=Sydney%2C+NSW+2000&propertyStatus=FOR_RENT"],
  "max_properties": 60,
  "max_pages": 3
}

Recently sold listings, highest price first:

{
  "mode": "listing",
  "search": "brisbane",
  "listing_type": "sold",
  "sortBy": "PRICE_DESC",
  "max_properties": 50
}

Run it from your code

Python:

from apify_client import ApifyClient

client = ApifyClient("<YOUR_APIFY_TOKEN>")
run = client.actor("abotapi/property-au-scraper").call(run_input={"mode": "listing", "search": "southbank", "listing_type": "buy", "max_properties": 20})
for listing in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(listing["address"], listing["price"])

JavaScript:

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: '<YOUR_APIFY_TOKEN>' });
const run = await client.actor('abotapi/property-au-scraper').call({ mode: 'listing', search: 'southbank', listing_type: 'buy', max_properties: 20 });
const { items } = await client.dataset(run.defaultDatasetId).listItems();

Or connect it to Make, Zapier, n8n, Google Sheets or webhooks from the Integrations tab.

Pagination and limits

Pagination walks forward from the URL's own ?pageNumber=N (default 1). Max Pages is a per URL budget, not a global one: pass three URLs with max_pages: 5 and the run walks up to 5 pages for each of them. Both caps are bounded: max_properties: 0 means the hard cap of 100000 properties per run and max_pages: 0 means the hard cap of 1000 pages per URL.

Send results into your apps (MCP connectors)

Optionally pipe the scraped results into the apps you already use, via Model Context Protocol (MCP) connectors. This is an extra delivery step after the scrape: the Apify dataset is never changed.

What gets written to the connector: a condensed, human-readable summary of each record, not the full JSON. Each item becomes one entry with a title and its key fields flattened to plain text.

1. Authorize a connector once under Apify → Settings → Integrations (Notion, Linear, Airtable, or Apify).
2. Select it in the "Pipe results into your apps" input field. (If the picker is empty, you haven't authorized a connector yet.)
3. For Notion, also set notionParentPageUrl to the page where items should be created.

Notion gets one page per item. Other authorized connectors get one record per item where the connector supports it, or a summarized digest when it only supports posting a message. Leave the field empty to skip.

Input Parameters

Parameter	Type	Default	Description
mode	string	listing	listing to search by suburb/postcode, or url to scrape specific search page URLs directly.
search	string	southbank	A suburb name, postcode, or partial name (listing mode). Resolved automatically; unresolvable queries fail fast.
urls	array	three example search URLs (for sale, for rent and sold, Southbank VIC 3006)	Property.com.au search page URLs (URL mode). Listing type is auto-detected from the URL's propertyStatus / marketStatuses query.
listing_type	string	buy	buy, rent, or sold. In URL mode, used as a fallback when the type can't be auto-detected from the URL.
propertyTypes	array	(none)	Filter by property type: HOUSE, APARTMENT, TOWNHOUSE, VILLA, LAND, ACREAGE, RURAL, BLOCK_OF_UNITS, RETIREMENT (listing mode only).
priceMin	integer	(none)	Minimum property price in AUD (listing mode only).
priceMax	integer	(none)	Maximum property price in AUD (listing mode only).
bedroomsMin	integer	(none)	Minimum number of bedrooms (listing mode only).
bathroomsMin	integer	(none)	Minimum number of bathrooms (listing mode only).
landSizeMin	integer	(none)	Minimum land size in square metres (listing mode only).
carSpacesMin	integer	(none)	Minimum number of car spaces (listing mode only).
keywords	string	(none)	Search keywords, e.g. pool, renovated, corner block (listing mode only).
excludeUnderOffer	boolean	false	Exclude properties that are under offer (listing mode, buy only).
sortBy	string	NEW_DESC	Sort order for search results: RELEVANCY, NEW_DESC, NEW_ASC, PRICE_ASC, PRICE_DESC, NEXT_AUCTION, NEXT_INSPECTION. Listing mode only.
max_properties	integer	20	Maximum number of properties to scrape (0 = the hard cap of 100000 per run).
max_pages	integer	0	Maximum number of listing pages to scrape per URL (0 = the hard cap of 1000 pages per URL).
proxy	object	Residential, AU	Connection settings. Residential proxy with country AU gives the complete dataset.
dataset_name	string	(none)	Optional named dataset for cross-run accumulation, in addition to the run's default dataset.
clear_dataset	boolean	false	Clear the named dataset before scraping (only applies when Dataset Name is set).
mcpConnectors	array	(none)	Optional: send a summary of each record to apps you authorized under Integrations.
notionParentPageUrl	string	(none)	Notion connector only: page under which records are created.
maxNotifyListings	integer	50	Cap on items written to each connector per run.
resumeFromRunId	string	(none)	ID of an earlier run of this actor whose listings are skipped (continue an interrupted run).
incrementalMode	boolean	false	Output only NEW, UPDATED, REAPPEARED and EXPIRED listings against the remembered baseline for this search.
stateKey	string	(auto)	Optional name for the remembered baseline; empty keys it on your search and filters.
emitUnchanged	boolean	false	Incremental mode only: also output listings identical to the last run. Each UNCHANGED row counts as a result for the per-result event; when off, unchanged listings are neither output nor charged.
emitExpired	boolean	true	Incremental mode only: output EXPIRED rows for listings that left the results. Each EXPIRED row counts as a result for the per-result event.
ignoreFieldsForChanges	array	(none)	Incremental mode only: top-level fields whose changes are not counted.

Output Example

Sample shape: values are illustrative placeholders, not from a live record.

{
  "id": "8292817364",
  "address": "12 Example Street, Southbank VIC 3006",
  "suburb": "SOUTHBANK",
  "state": "VIC",
  "postcode": "3006",
  "latitude": -37.8226,
  "longitude": 144.9648,
  "listing_type": "buy",
  "listing_status": "For Sale",
  "property_type": "apartment",
  "price": "$750,000 - $800,000",
  "price_details": "Contact agent for a price guide",
  "features": {
    "bedrooms": 2,
    "bathrooms": 2,
    "car_spaces": 1,
    "land_size": "450m2",
    "floor_area": "120m2",
    "built_year": 2015
  },
  "description": "Modern two bedroom apartment close to the river and CBD.",
  "timeline": [
    { "event": "listed_for_sale", "year": "current", "price": "$750,000", "date": "12 Mar 2026", "agent": "Jane Smith", "details": "Listed 12 Mar 2026 by Jane Smith" }
  ],
  "value_estimates": {
    "sale": { "value": 780000, "display": "$780,000", "confidence": "HIGH", "range_min": 750000, "range_max": 810000 }
  },
  "schools": {
    "primary": [{ "name": "Sample Primary School", "is_zoned": true, "distance": "0.8km" }],
    "secondary": [{ "name": "Sample Secondary College", "is_zoned": false, "distance": "1.5km" }]
  },
  "planning_overlays": { "bushfire": false, "flood": false, "heritage": false },
  "land_description": "Land is within the Melbourne local government area.",
  "council": "Melbourne",
  "internet": { "connection_type": "NBN Ready", "quality": "Good" },
  "market_insights": { "median_price": "$820,000", "price_growth_12mo": 5.2, "median_rent": "$550/wk", "rent_growth_12mo": 3.1 },
  "media": { "image_count": 12, "images": ["https://www.property.com.au/images/example-1.jpg"] },
  "property_url": "https://www.property.com.au/vic/southbank-3006/12-example-street-pid-12345678",
  "breadcrumbs": [{ "title": "Victoria", "url": "/vic" }, { "title": "Southbank", "url": "/vic/southbank-3006" }],
  "status": "success",
  "source_listing": "https://www.property.com.au/search/?locations=Southbank%2C+VIC+3006",
  "source_listing_type": "buy",
  "scraped_at": "2026-03-12T04:15:00.000Z"
}

Plan Requirement

Property.com.au refuses ordinary datacenter connections, so this actor needs Apify proxy access, which means a paid Apify plan: free plans do not include proxy access. If the proxy connection is refused for your account, the run stops with the message "The proxy connection was refused for this account, so no page could be read. Your Apify plan does not include proxy access; a paid plan is required" and a link to https://apify.com/pricing.

The actor chooses the connection itself and falls back automatically. When it has to use the backup connection, the log says "Served over the backup connection (the default connection was unavailable)." If residential proxies are not available to your account and the backup connection cannot load the pages either, the run fails with "No results: residential proxies are unavailable on this run (Apify free plans do not include them)..." and asks you to upgrade. If every results page request fails for another reason, you get "Could not load any results page (the requests failed), so nothing was collected. This is a connection problem, not an empty search. Please try again later."

For the complete dataset, including images, select the Residential proxy group with country AU under Proxy & connection. On any other connection the run still returns full listing data, but images are omitted and the log says so.

FAQ

How much does it cost?

You pay per record returned. In Incremental mode every output row, including EXPIRED rows and UNCHANGED rows when Also output unchanged listings is on, counts as a result for the per-result event; unchanged listings that are suppressed are not output and not charged. The Pricing tab shows the current rates. Use Max Properties to cap the cost of any run.

Is it legal to scrape Property.com.au?

This actor collects only publicly available property listing data. You are responsible for how you use it: follow Property.com.au's terms and the laws that apply to you, and get legal advice if you plan commercial redistribution.

Can I get only new listings on a schedule?

Yes. Turn on Incremental mode and schedule the actor from the Schedules tab. The actor remembers what earlier runs saw for the same search and filters, and outputs only NEW, UPDATED and REAPPEARED listings, plus EXPIRED ones that dropped out of the results (only when the search was walked to its end). Each row gets changeType, changedFields, firstSeenAt and lastSeenAt, and the dataset has a Changes view. Unchanged listings are skipped unless you enable Also output unchanged listings. Change detection compares the full listing, so a different connection plan between runs (which hides images and agent details in the output) does not by itself make listings UPDATED. With Incremental mode off, every run outputs all listings and appends them to the run's default dataset (and your named dataset if set), without checking earlier runs.

Why don't I see any photos in my results?

Images are included when the run uses an Apify Residential proxy (country AU recommended). Any other proxy configuration returns full listing data except photos.

Why did my run return an empty dataset instead of an error?

The run fails outright only for a configuration problem: no location could be resolved, no search URLs were given, no proxy could be initialized at all, or an invalid named dataset was supplied. If a search page or a listing's detail page can't be read after that point, the run logs a warning and moves on, finishing normally with fewer, or zero, results rather than raising an error. Check the run log for warnings before assuming a bug.

Can I use it with AI agents or MCP?

Yes. Call it from any Apify integration or MCP client, and use the connector field to push results into Notion, Linear or Airtable.

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