View.com.au Scraper

Search and extract all property listings for sale, rent, and recently sold across Australia from view com au. Collect property prices, full addresses, agent and agency contacts, photos, GPS coordinates, and market insights for any suburb, city, or state - all in structured, ready-to-use format.

What does View com au Scraper do?

This actor searches view.com.au and collects property listing data including:

• For Sale - properties currently on the market
• For Rent - rental listings with weekly prices
• Sold - recently sold properties with sale prices

For every listing, you get the full address, asking price (or sold price), bedrooms, bathrooms, car spaces, land size, property images, listing agent contact details, agency info, GPS coordinates, days on market, and more.

Why use this scraper?

• Lightning fast - extracts ~25 listings per page load with no individual property page visits needed
• Structured data - prices parsed into numeric values, addresses split into components, coordinates included
• Flexible search - state-wide, city-level, or suburb-level searches with price/bedroom/bathroom filters
• Resumable - automatically saves progress and resumes from checkpoint on failure
• Optional detail mode - enable includeDetailPage for full descriptions, floor plans, and sale history

Quick Start

Scrape for-sale properties in Melbourne CBD:

{
  "mode": "location",
  "locations": [{ "suburb": "Melbourne", "state": "VIC", "postcode": "3000" }],
  "listingType": "buy",
  "maxListings": 50,
  "maxPages": 2
}

Scrape multiple locations at once:

{
  "mode": "location",
  "locations": [
    { "suburb": "Melbourne", "state": "VIC", "postcode": "3000" },
    { "suburb": "Sydney", "state": "NSW", "postcode": "2000" },
    { "suburb": "Brisbane", "state": "QLD", "postcode": "4000" }
  ],
  "listingType": "buy",
  "maxListings": 100,
  "maxPages": 4
}

Scrape all of Victoria (state-wide):

{
  "mode": "location",
  "locations": [{ "state": "VIC" }],
  "listingType": "buy",
  "maxListings": 100,
  "maxPages": 4
}

Scrape from a direct URL:

{
  "mode": "url",
  "urls": ["https://www.view.com.au/for-sale/vic/in-melbourne-3000/"],
  "maxListings": 50
}

Input Parameters

Parameter	Type	Default	Description
mode	String	location	Search mode: location or url
locations	Array	[{"suburb":"Melbourne","state":"VIC","postcode":"3000"}]	Locations to search. Each location has a state (required), suburb (optional), and postcode (optional)
urls	Array	-	Direct search or property URLs (for url mode)
listingType	String	buy	Listing type: buy, rent, or sold
propertyTypes	Array	(all)	Filter: house, apartment, townhouse, land, studio
priceMin	Integer	-	Minimum price (AUD)
priceMax	Integer	-	Maximum price (AUD)
bedroomsMin	Integer	-	Minimum bedrooms
bathroomsMin	Integer	-	Minimum bathrooms
carsMin	Integer	-	Minimum car spaces
sort	String	default	Sort order: default, price-asc, price-desc
maxListings	Integer	25	Stop after this many listings
maxPages	Integer	2	Max search pages per location (25 results/page)
includeDetailPage	Boolean	false	Visit each property page for full data (description, floor plans, sale history)
outputFormat	Array	["json"]	Export formats: json, csv
proxyConfiguration	Object	-	Proxy settings (Apify proxy or custom)
resumeFromCheckpoint	Boolean	true	Resume from last checkpoint on failure

Location Flexibility

Each location uses a form with State (required dropdown), Suburb (optional text), and Postcode (optional text). You can add multiple locations to search them all in one run.

Location	Scope	~Results
State: VIC	All of Victoria	~52,000
Suburb: Melbourne, State: VIC	Metro Melbourne	~25,000
Suburb: Melbourne, State: VIC, Postcode: 3000	Melbourne CBD	~2,300
Suburb: Kew East, State: VIC, Postcode: 3102	Single suburb	~50

Note: State is always required. Postcode-only searches are not supported by view.com.au.

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 (the listing's name / address) and its key fields flattened to plain text (price, beds/baths, agent, URL, …). Nested objects are collapsed to their main value (e.g. an address object → its full-address text) and long lists are trimmed to the first few names. The complete, full-fidelity record always stays in the Apify dataset — the connector copy is a readable digest for browsing in your app.

• Notion → one page per item (title + a summary body), created under the page you set in notionParentPageUrl.
• Linear / Airtable / other → one record/issue per item with the same title + fields.

How to enable:

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.

The connection is mediated by Apify's MCP proxy, so this actor never sees your third-party credentials. Leave the field empty to skip — the export only runs when a connector is selected.

Output

Each listing in the dataset contains:

{
  "id": 12345678,
  "listingUrl": "https://www.view.com.au/property/vic/sampleville-3000/5-10-example-street-12345678/",
  "address": {
    "full": "5/10 Example Street, SAMPLEVILLE VIC 3000",
    "streetNumber": "10",
    "streetName": "Example Street",
    "unitNumber": "5",
    "suburb": "SAMPLEVILLE",
    "state": "VIC",
    "postcode": "3000",
    "city": "Melbourne",
    "country": "Australia",
    "countryCode": "AU"
  },
  "price": {
    "display": "$850,000 - $900,000",
    "value": 850000,
    "currency": "AUD",
    "priceType": "range",
    "isRange": true,
    "min": 850000,
    "max": 900000
  },
  "features": {
    "bedrooms": 3,
    "bathrooms": 2,
    "carSpaces": 1
  },
  "propertyType": "apartment",
  "sourcePropertyType": "Apartment & Unit",
  "listingType": "buy",
  "saleMethod": "Sale",
  "status": "On Market",
  "rank": "Premium",
  "images": [
    {
      "url": "https://view.com.au/viewstatic/images/listing/.../800-w/12345678-1-ABC1234.jpg",
      "sequence": 1
    }
  ],
  "agents": [
    {
      "id": 99999,
      "firstName": "Jane",
      "lastName": "Smith",
      "phone": "9000 1234",
      "mobile": "0400 000 000",
      "numberOfSoldListings": 25,
      "averageSoldPrice": 920000
    }
  ],
  "agency": {
    "id": 10001,
    "name": "Sample Realty",
    "profileLink": "/agency/sample-realty-10001/",
    "brandColour": "1A1A1A"
  },
  "location": {
    "lat": -37.81,
    "lon": 144.96
  },
  "lgaName": "Sample Council",
  "createdAt": "2026-01-15 09:30:00",
  "source": {
    "portal": "view.com.au",
    "scrapedAt": "2026-02-22T12:00:00.000Z"
  }
}

Additional fields with includeDetailPage: true

When detail page mode is enabled, each listing also includes:

• heading - listing headline
• description - full property description
• floorPlans - floor plan images
• daysOnMarket - days since listing
• lastSoldPrice / lastSoldYear - previous sale data
• landPricePerSqm - calculated land value per sqm
• yearBuilt - construction year
• Agent email and profileLink

Dataset Views

The output dataset includes 4 pre-configured table views:

View	Fields
Overview	ID, type, property, address, price, features, URL, days on market, status
Media	ID, address, images, floor plans, hero image
Agents & Agencies	ID, address, agents, agency
Location & Market	ID, address, coordinates, council, days on market, last sold price/year, $/sqm