Realestate.com.au Scraper

Scrape Realestate.com.au for-sale, rent, and sold listings, plus full property details and search-box autocomplete suggestions — all from one Actor. Backed by realtyapi.io's real-time Realestate.com.au API.

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What you can do

Section	What it does	Input format
🏠 Property Details	Full details for a specific listing	listing ID digits, Realestate.com.au listing URL, or full street address — auto-detected per row
🔎 Search Listings	Paginated search with filters	suburb / location string, AU postcode (4 digits), lat,lng,radius_km, polygon (lon lat,lon lat,...), or Realestate.com.au search URL
🔍 Autocomplete	Search-box suggestions (suburbs, postcodes, regions, addresses, listings)	partial query string

You can fill any combination of sections in a single run — leave the others empty.

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Output

Each listing / detail / autocomplete suggestion is pushed as one dataset row, flattened to friendly columns plus a Raw column with the original JSON.

Mode	Input Given	Listing ID	Channel	Price	Beds	Baths	Suburb	State	Postcode	Agent Name	Listing URL	Raw
search/bylocation	Bondi, NSW 2026 (p1)	146041968	buy	$2,150,000	3	2	Bondi	NSW	2026	Jane Smith	https://www.realestate.com.au/...	{...}
details/byid	146041968	146041968	buy	$2,150,000	3	2	Bondi	NSW	2026	Jane Smith	https://www.realestate.com.au/...	{...}

Plus: Title, Property Type, Street, Latitude, Longitude, Modified Date, Auction Time, Photos (cover URL), Photo Count, Agent Phone, Agency Name.

For nested/large fields (full photo array, inspections, property features, agent reviews, etc.) the complete upstream JSON is in the Raw column.

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Sample input

{
    "property_inputs": [
        "146041968",
        "https://www.realestate.com.au/property-house-nsw-bondi-146041968",
        "1 Macquarie St, Sydney NSW 2000"
    ],
    "search_inputs": ["Bondi, NSW 2026", "2026", "-33.8915,151.2767,2"],
    "searchType": "For_Sale",
    "propertyType": "House,Apartment",
    "priceRange": "min:500000,max:2000000",
    "bedsRange": "min:2",
    "sortOrder": "Newest",
    "pages": 2,
    "resultCount": 30,

    "autocomplete_inputs": ["bond"]
}

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Search filters (apply to all search_inputs)

• searchType — For_Sale (default) | For_Rent | Sold
• propertyType — comma list of House, Apartment, Unit, Townhouse, Villa, Land, Acreage, Rural, Block_of_Units, Retirement
• priceRange / bedsRange / landSizeRange — min:X | max:Y | min:X,max:Y
• bathsRange / carSpacesRange — min:X only (server only honours minimum)
• sortOrder — Recommended, Newest, Oldest, Price_Low_to_High, Price_High_to_Low, Most_Recently_Sold, Oldest_Sold
• pages — how many pages to fetch (1–50). Each page = resultCount listings.
• resultCount — 1–200 per page, default 30
• surroundingSuburbs — default true. Untick to restrict to the named suburb only.
• constructionStatus — any | established | new
• excludeUnderContract / excludeAuctions / excludePrivateSales / excludeNoDisplayPrice / excludeDepositTaken / newListingOnly / furnished / petsAllowed — booleans
• keywords — free-text, comma-separated (e.g. pool,garage,ocean view)
• maxSoldAge — only meaningful on Sold. Format value:unit — e.g. 6:months, 90:days, 2:years.

Filters apply to every search_inputs row in the run.

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Pricing

Pay per result — you only pay for dataset items the Actor pushes. Failed inputs return a row with Status: ERROR: ... and are billed the same as a successful row.

To cap spend, set Max paid dataset items on the run page.

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Tips

• Need just one property? Use property_inputs — auto-detects listing ID, URL, or address.
• Pull all listings in a suburb? Use search_inputs: ["Bondi, NSW 2026"] and crank pages (each page is up to 200 results).
• Use a lat/lng circle? Format: -33.8915,151.2767,2 (last value is radius in km).
• Polygon? lon lat,lon lat,lon lat,... — note longitude first (GeoJSON convention). Server converts to a bounding box.
• Resolve a Realestate.com.au URL? Drop a search or detail URL straight into the matching section — both byurl modes parse the URL into the right call internally.