RealEstate AU Lightning Scraper

Extract full listing details from Australian real estate search pages at scale — buy, rent, and sold listings with property features, descriptions, and coordinates.

Paste your search URLs or use location filters to get structured data in seconds.

Key Features

• ⚡ Lightning fast. Scrapes thousands of listings with full details at scale
• 📊 Complete data. 30+ fields per listing including indoor/outdoor features, full description, and lat/long
• 🏠 All listing types. Buy, Rent, and Recently Sold
• 🔍 Two search modes. Paste URLs directly or use structured location filters (AU and NZ)
• 📋 Flat output. Clean, ready-to-use columns or raw API response
• 📄 Auto pagination. Pages through all search results automatically
• 🚫 Deduplication. No duplicates across pages or multiple search URLs
• 💰 Lightweight. Runs on just 256MB memory

How It Works

Option 1: Search by URL

Paste one or more search result URLs.

Option 2: Search by Location Filters

Use structured filters to search by location without building URLs manually.

{
  "searchByFilters": [
    {
      "channel": "buy",
      "cityOrRegion": "VIC",
      "district": "Melbourne - Northern Region",
      "country": "AU"
    },
    {
      "channel": "sold",
      "cityOrRegion": "NSW",
      "suburb": "Bondi Beach",
      "country": "AU"
    }
  ]
}

Filter fields:

• Channel: buy, rent, or sold
• Country: AU (Australia) or NZ (New Zealand)
• State / City: VIC, NSW, QLD, Auckland, etc.
• District / Region: Melbourne Northern Region, Sydney Eastern Suburbs, Auckland City, etc.
• Suburb: Richmond, Bondi Beach, Blockhouse Bay, etc.

Input Options

Field	Description	Default
Search URLs	one or more search page URLs
Search by Filters	structured location filters (AU and NZ)
Max Results	maximum listings to scrape per URL (0 = unlimited)	100
Flatten Output	clean flat columns vs raw API response	true
Max Concurrency	parallel detail requests	10
Proxy	Apify Proxy	Apify Datacenter

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. The complete record always stays in the Apify dataset.

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.

Proxy

A residential proxy is required for complete results. Runs without a residential proxy still complete, but return a reduced dataset. Set the proxy to a RESIDENTIAL group (AU).

Tips

• Sold listings: add ?maxSoldAge=12-month to your URL for the last 12 months of sales
• Multiple locations: add multiple search URLs or filters to scrape different areas in one run
• Large scrapes: set max results to 0 (unlimited) and let pagination handle everything
• Raw data: disable Flatten Output to get the complete API response for each listing