Realestate.co.nz Scraper — NZ Property Listings & Valuations

What does Realestate.co.nz Scraper do?

Realestate.co.nz Scraper collects property listings from realestate.co.nz, New Zealand's property portal. Every record carries the price, address, bedrooms and bathrooms, full-resolution photos, the agent's email and phone — and the data that usually sits behind paid tools: the council valuation (RV/CV), an estimated value, and the dwelling's full sales history.

Filter by suburb, price band, property type or map area, watch for price drops, and export structured JSON, CSV or Excel.

How to use this actor

• 👉 Register for a free Apify account — no credit card required.
• 🎉 Just click Sign up free on Apify → and complete a quick signup.
• 💰 A free Apify account includes $5 in monthly credits — enough to test this actor.
• ⏳ Scrape during the free trial, with no commitment or upfront payment required.

Key features

• 🏦 Council valuation, estimated value & sales history — council rating valuation (capital, land, improvements), an estimated value with low/mid/high range, and the dwelling's full sale history on every listing — 98% and 95% fill. Toggle with includeValuation.
• 🎓 School zones, in-zone flagged — up to 30 nearby schools and childcare centres per listing, each with its distance and whether the property falls inside the enrolment zone.
• 💵 Structured pricing — listing price parsed into priceMin / priceMax / priceCurrency with period (per night / per month / total) where applicable. Hidden-price flag preserved.
• ♻️ Incremental mode — daily runs emit only listings that are new or whose price/condition changed since last run. Perfect for inventory-diff dashboards and competitive pricing alerts. Saves 80–95% on recurring monitoring.
• 🔔 Notifications — telegram / Slack / Discord / WhatsApp / webhook alerts on each run. Combine with incremental to ping only when prices or inventory actually move.
• 🔗 Paste-mode — paste any realestate.co.nz URL — single-listing pages, search-results, or category SEO URLs. Build the filter you want in the browser, copy, paste; the actor parses every query param.
• 🔨 Auction, deadline & tender dates — auction, deadline-sale and tender dates with venues, plus every scheduled open home — or track only listings whose asking price moved.
• 📧 Email + phone extraction — best-effort regex extraction of contact emails and phone numbers from descriptions — emitted as extractedEmails[] and extractedPhones[] on every record.
• 📦 Compact mode — light payload with core fields only — comparable rows across listings without HTML or metadata overhead. Perfect for pricing dashboards.

What data can you extract from realestate.co.nz?

Each result includes Core listing fields (listingId, listingKey, propertyShortId, title, url, category, propertyType, and listingStatus, and more), detail fields when enrichment is enabled (description, descriptionText, descriptionHtml, and descriptionMarkdown), and contact information (contactEmail and contactPhone). In standard mode, all fields are always present — unavailable data points are returned as null, never omitted. In compact mode, only core fields are returned.

Input

The main inputs are a search keyword and a result limit. Additional filters and options are available in the input schema.

Key parameters:

• category — What kind of listings to collect. Use a JSON array for several at once, e.g. ["res_sale","res_rent"]. (default: "res_sale")
• region — Region name, e.g. "Auckland" or "Otago". Pass a JSON array to cover several at once, e.g. ["Auckland","Waikato"]. Leave every location field empty to search all of New Zealand.
• district — District name, e.g. "Auckland City" or "Christchurch City". A JSON array covers several districts in one run.
• suburb — Suburb name, e.g. "Ponsonby". Pass a JSON array to cover a shortlist. Some suburb names repeat around the country — every match is searched.
• query — Optional free-text keyword, e.g. "waterfront" or "renovated". Leave empty to browse everything in the selected area.
• startUrls — Paste search URLs from the site, e.g. https://www.realestate.co.nz/residential/sale/auckland/auckland-city. Each becomes its own search; results are merged and deduplicated. When provided, these replace the fields above. (default: [])
• minPrice — Minimum price in NZD — weekly rent when the listing type is a rental.
• maxPrice — Maximum price in NZD (weekly rent for rentals). Listings advertised as "Auction" or "Deadline Sale" carry no number, so a price filter leaves them out.
• propertyType — e.g. "House", "Apartment", "Townhouse", "Unit", "Section". A JSON array selects more than one. Which types exist depends on the listing type selected above.
• minBedrooms — Only listings with at least this many bedrooms.
• maxBedrooms — Only listings with at most this many bedrooms.
• minBathrooms — Only listings with at least this many bathrooms.
• ...and 40 more parameters

Input examples

Houses in Auckland with the valuation behind every address — 3+ bedroom houses for sale, each with the council valuation, estimated value and full sales history joined on.

→ Up to 100 listings with price, features, photos, school zones, agent contacts and valuation data.

{
  "category": "res_sale",
  "region": "Auckland",
  "propertyType": "House",
  "minBedrooms": 3,
  "includeValuation": true,
  "maxResults": 100
}

Keyword search — waterfront listings under $2m — The keyword narrows to listings mentioning "waterfront"; the price band drops anything advertised without a number (auctions, deadline sales).

→ Waterfront properties priced $500k–$2m, newest first.

{
  "query": "waterfront",
  "category": "res_sale",
  "minPrice": 500000,
  "maxPrice": 2000000,
  "sort": "latest",
  "maxResults": 50
}

Paste a search URL straight from the site — Any realestate.co.nz search page works — the actor reads the category and location out of the URL.

→ Every current listing in Ponsonby, Auckland City.

{
  "startUrls": [
    "https://www.realestate.co.nz/residential/sale/auckland/auckland-city/ponsonby"
  ],
  "maxResults": 100
}

Price-drop tracker — Only listings whose asking price changed on or after the date — the price history shows the old and new figure.

→ Recently repriced listings with their price history and council valuation.

{
  "category": "res_sale",
  "priceChangedSince": "2026-06-19",
  "sort": "latest",
  "maxResults": 100
}

Daily new-listings monitor — Run on a schedule: each run returns only what is NEW or UPDATED since the last one, and re-listed properties are flagged.

→ Fresh Wellington rentals only — unchanged listings are skipped, so repeat runs stay cheap.

{
  "category": "res_rent",
  "region": "Wellington",
  "petsAllowed": true,
  "incrementalMode": true,
  "notifyOnlyChanges": true,
  "maxResults": 200
}

Output

Each run produces a dataset of structured listing records. Results can be downloaded as JSON, CSV, or Excel from the Dataset tab in Apify Console.

Example listing record

{
  "listingId": "b27fb5a61d13e123629cc694c636860ff73fdb193ae779374bad9abdcfe9472c",
  "listingKey": "01435",
  "propertyShortId": "jwq2x8vxc",
  "title": "Move in, live beautifully",
  "url": "https://www.realestate.co.nz/43082994/residential/sale/3-norfolk-street-ponsonby",
  "category": "res_sale",
  "propertyType": "House",
  "listingStatus": "active",
  "titleType": 1,
  "description": "<p>Behind its timeless villa façade lies something truly unexpected.<br /><br />Completely reimagined, this is a residence where every finish, fixture and detail has been elevated. The work is done. T...",
  "descriptionHtml": "<p>Behind its timeless villa façade lies something truly unexpected.<br /><br />Completely reimagined, this is a residence where every finish, fixture and detail has been elevated. The work is done. T...",
  "priceText": "Auction",
  "priceCurrency": "NZD",
  "priceCode": 5,
  "auctionDate": "2026-07-29T15:00:00+12:00",
  "auctionLocation": "On Site",
  "openHomes": [
    {
      "start": "2026-07-12T12:00:00+12:00",
      "end": "2026-07-12T12:45:00+12:00"
    },
    {
      "start": "2026-07-16T17:30:00+12:00",
      "end": "2026-07-16T18:00:00+12:00"
    },
    {
      "start": "2026-07-19T12:00:00+12:00",
      "end": "2026-07-19T12:45:00+12:00"
    },
    {
      "start": "2026-07-22T12:30:00+12:00",
      "end": "2026-07-22T13:00:00+12:00"
    },
    {
      "start": "2026-07-26T12:00:00+12:00",
      "end": "2026-07-26T12:45:00+12:00"
    }
  ],
  "address": "3 Norfolk Street, Ponsonby, Auckland City, Auckland",
  "displayAddress": "3 Norfolk Street, Ponsonby",
  "streetNumber": "3",
  "streetName": "Norfolk Street",
  "suburb": "Ponsonby",
  "district": "Auckland City",
  "region": "Auckland",
  "postcode": "1021",
  "latitude": -36.854791,
  "longitude": 174.7452905,
  "bedrooms": 3,
  "bathrooms": 2,
  "bathroomsMain": 2,
  "bathroomsEnsuite": 0,
  "bathroomsFull": 2,
  "bathroomsWc": 0,
  "landArea": 392,
  "landAreaUnit": "SQM",
  "parkingGarage": 2,
  "parkingCovered": 0,
  "parkingOther": 1,
  "hasSwimmingPool": true,
  "isNewConstruction": false,
  "isCoastalWaterfront": false,
  "isMortgageeSale": false,
  "isPrivateListing": false,
  "imageUrl": "https://mediaserver.realestate.co.nz/listings/43082994/b8fff691ec701615da121aa6fe7ed578.jpg",
  "galleryUrls": [
    "https://mediaserver.realestate.co.nz/listings/43082994/b8fff691ec701615da121aa6fe7ed578.jpg",
    "https://mediaserver.realestate.co.nz/listings/43082994/792c90a21e690fa7351c65c7b8d6c2dc.jpg",
    "https://mediaserver.realestate.co.nz/listings/43082994/b81f178b298cb5ba18f6cbe1dc98d7bd.jpg",
    "https://mediaserver.realestate.co.nz/listings/43082994/585d7bc56606e8f35777c2db9b596d46.jpg",
    "https://mediaserver.realestate.co.nz/listings/43082994/1d479091b7f08a01b1cfeb3c3e8ac2b0.jpg",
    "... 20 more items"
  ],
  "additionalWebsiteUrls": [
    "https://www.kellands.co.nz/01435"
  ],
  "schools": [
    {
      "name": "Richmond Road School",
      "slug": "richmond-road-school",
      "distanceKm": 0.51,
      "hasZone": true,
      "inZone": true,
      "latitude": -36.856164,
      "longitude": 174.739777
    },
    {
      "name": "Auckland Girls' Grammar School",
      "slug": "auckland-girls-grammar-school",
      "distanceKm": 0.78,
      "hasZone": true,
      "inZone": true,
      "latitude": -36.856867,
      "longitude": 174.753659
    },
    {
      "name": "Ponsonby Intermediate",
      "slug": "ponsonby-intermediate",
      "distanceKm": 0.9,
      "hasZone": true,
      "inZone": true,
      "latitude": -36.848062,
      "longitude": 174.739685
    },
    {
      "name": "Western Springs College",
      "slug": "western-springs-college",
      "distanceKm": 2.6,
      "hasZone": true,
      "inZone": true,
      "latitude": -36.861976,
      "longitude": 174.717535
    },
    {
      "name": "Freemans Bay School",
      "slug": "freemans-bay-school",
      "distanceKm": 0.74,
      "hasZone": true,
      "inZone": false,
      "latitude": -36.852048,
      "longitude": 174.75281
    },
    "... 25 more items"
  ],
  "childCares": [
    {
      "name": "Kindercare Auckland CBD",
      "slug": "kindercare-auckland-cbd",
      "distanceKm": 2.12,
      "hasZone": false,
      "inZone": false,
      "latitude": -36.843853,
      "longitude": 174.764801
    },
    {
      "name": "Kindercare Three Kings",
      "slug": "kindercare-three-kings",
      "distanceKm": 4.8,
      "hasZone": false,
      "inZone": false,
      "latitude": -36.89690781,
      "longitude": 174.757019
    },
    {
      "name": "Kindercare Grey Lynn",
      "slug": "kindercare-grey-lynn",
      "distanceKm": 1.21,
      "hasZone": false,
      "inZone": false,
      "latitude": -36.86559296,
      "longitude": 174.7465668
    },
    {
      "name": "ACG Parnell Early Learning School",
      "slug": "acg-parnell-early-learning-school",
      "distanceKm": 2.57,
      "hasZone": false,
      "inZone": false,
      "latitude": -36.86439133,
      "longitude": 174.7715759
    },
    {
      "name": "The Learning Space - Eden Terrace",
      "slug": "the-learning-space-eden-terrace",
      "distanceKm": 1.37,
      "hasZone": false,
      "inZone": false,
      "latitude": -36.86342239,
      "longitude": 174.7562714
    },
    "... 25 more items"
  ],
  "agents": [
    {
      "name": "Charles Collins",
      "email": "charles@kellands.co.nz",
      "phone": "021 376 095",
      "jobTitle": "Licensee Salesperson",
      "profileUrl": "https://www.realestate.co.nz/agent/charles-collins",
      "listingCount": 6
    },
    {
      "name": "Martin Dobson",
      "email": "martin.dobson@kellands.co.nz",
      "phone": "021 376 952",
      "jobTitle": "Licensee Salesperson",
      "profileUrl": "https://www.realestate.co.nz/agent/martin-dobson",
      "listingCount": 7
    }
  ],
  "office": {
    "name": "Kellands Real Estate Ltd (Licensed: REAA 2008) - Freemans Bay",
    "email": "michelle@kellands.co.nz",
    "phone": "09 300 4001",
    "websiteUrl": "https://www.kellands.co.nz",
    "profileUrl": "https://www.realestate.co.nz/office/kellands-real-estate-ltd-licensed-reaa-2008-freemans-bay",
    "listingCount": 0
  },
  "sellerName": "Kellands Real Estate Ltd (Licensed: REAA 2008) - Freemans Bay",
  "sellerUrl": "https://www.realestate.co.nz/office/kellands-real-estate-ltd-licensed-reaa-2008-freemans-bay",
  "sellerWebsite": "https://www.kellands.co.nz",
  "contactEmail": "charles@kellands.co.nz",
  "contactPhone": "021 376 095",
  "estimatedValue": {
    "low": 3651000,
    "mid": 4167000,
    "high": 4566000,
    "confidence": 4,
    "asAt": "2026-07-01"
  },
  "councilValuation": {
    "capitalValue": 3975000,
    "landValue": 2025000,
    "improvementsValue": 1950000,
    "valuedAt": "2024-07-01"
  },
  "salesHistory": [
    {
      "saleDate": "2023-01-13",
      "salePrice": 4650000,
      "netSalePrice": 4650000,
      "salePriceDisplay": "$4,650,000",
      "saleMethod": "P - Private Treaty(Neg.)",
      "isSettled": true
    },
    {
      "saleDate": "2002-09-20",
      "salePrice": 505000,
      "netSalePrice": 505000,
      "salePriceDisplay": "$505,000",
      "isSettled": true
    },
    {
      "saleDate": "1998-11-30",
      "salePrice": 400000,
      "netSalePrice": 400000,
      "salePriceDisplay": "$400,000",
      "saleMethod": "A - Auction",
      "isSettled": true
    }
  ],
  "lastSale": {
    "saleDate": "2023-01-13",
    "salePrice": 4650000,
    "netSalePrice": 4650000,
    "salePriceDisplay": "$4,650,000",
    "saleMethod": "P - Private Treaty(Neg.)",
    "isSettled": true
  },
  "buildingAge": 1900,
  "nearbyRecentSales": [
    {
      "saleDate": "2026-06-18",
      "salePriceDisplay": "$3,000,000.0",
      "isSettled": false
    },
    {
      "saleDate": "2026-05-06",
      "salePriceDisplay": "$3,900,000.0",
      "isSettled": true
    },
    {
      "saleDate": "2026-04-08",
      "salePriceDisplay": "$2,300,000.0",
      "isSettled": true
    },
    {
      "saleDate": "2026-04-07",
      "salePriceDisplay": "$1,200,000.0",
      "isSettled": true
    },
    {
      "saleDate": "2026-04-01",
      "salePriceDisplay": "$3,325,000.0",
      "isSettled": false
    },
    "... 34 more items"
  ],
  "publishedAt": "2026-07-07T16:34:07+12:00",
  "createdAt": "2026-07-07T16:34:07+12:00",
  "searchQuery": "res_sale / Ponsonby",
  "contentQuality": "full",
  "scrapedAt": "2026-07-17T11:36:49.208Z",
  "source": "realestate.co.nz"
}

Incremental fields

When incremental mode is on, each record also carries:

• changeType — one of NEW, UPDATED, UNCHANGED, REAPPEARED, EXPIRED. Default output covers NEW / UPDATED / REAPPEARED; set emitUnchanged: true or emitExpired: true to opt into the others.
• isRepost, repostOfId, repostDetectedAt — populated when a new listing matches the tracked content of a previously expired one. Set skipReposts: true to drop detected reposts from the output.

How to scrape realestate.co.nz

1. Go to Realestate.co.nz Scraper in Apify Console.
2. Enter a search keyword.
3. Set maxResults to control how many results you need.
4. Click Start and wait for the run to finish.
5. Export the dataset as JSON, CSV, or Excel.

Use cases

• Extract listing data from realestate.co.nz for market research and competitive analysis.
• Track pricing trends across regions and categories over time.
• Monitor new and changed listings on scheduled runs without processing the full dataset every time.
• Use structured location data for regional analysis, mapping, and geo-targeting.
• Feed structured data into AI agents, MCP tools, and automated pipelines using compact mode.
• Export clean, structured data to dashboards, spreadsheets, or data warehouses.

How much does it cost to scrape realestate.co.nz?

Realestate.co.nz Scraper uses pay-per-event pricing. You pay a small fee when the run starts and then for each result that is actually produced.

• Run start: $0.005 per run
• Per listing (primary event): $0.0004

You are billed only for the events your run actually triggers. Prices below are the Free plan tier.

Event	Price (Free tier)	Charged when
Run start	$0.005 (one-time)	Charged once per run.
Property listing (primary)	$0.0004	Charged for each property returned, with its price, address, features, photos, open homes, school zones and listing agent.
Valuation & sales history	$0.001	Charged only for properties that come back with valuation data — the council valuation, the estimated value and past sales. Turn it off with the valuation setting.

Example costs (primary event only — other events above add cost when they fire):

• 10 results: $0.009
• 25 results: $0.015
• 100 results: $0.045
• 200 results: $0.085
• 500 results: $0.21

Example: recurring monitoring savings

These examples compare full re-scrapes with incremental runs at different churn rates. Churn is the share of listings that are new or whose tracked content changed since the previous run. Actual churn depends on your query breadth, source activity, and polling frequency — the scenarios below are examples, not predictions.

Example setup: 100 results per run, daily polling (30 runs/month). Event-pricing examples scale linearly with result count.

Numbers below are for the primary Property listing event. Other events (Valuation & sales history) are billed separately when they fire.

Churn rate	Full re-scrape run cost	Incremental run cost	Savings vs full re-scrape	Monthly cost after baseline
5% — stable niche query	$0.04	$0.007	$0.04 (84%)	$0.21
15% — moderate broad query	$0.04	$0.01	$0.03 (76%)	$0.33
30% — high-volume aggregator	$0.04	$0.02	$0.03 (62%)	$0.51

Full re-scrape monthly cost at daily polling: $1.35. First month with incremental costs $0.25 / $0.36 / $0.54 for the 5% / 15% / 30% scenarios because the first run builds baseline state at full cost before incremental savings apply.

Platform usage is included in the per-result fee shown above.

FAQ

How many results can I get from realestate.co.nz?

The number of results depends on the search query and available listings on realestate.co.nz. Use the maxResults parameter to control how many results are returned per run.

Does Realestate.co.nz Scraper support recurring monitoring?

Yes. Enable incremental mode to only receive new or changed listings on subsequent runs. This is ideal for scheduled monitoring where you want to track changes over time without re-processing the full dataset.

Can I integrate Realestate.co.nz Scraper with other apps?

Yes. Realestate.co.nz Scraper works with Apify's integrations to connect with tools like Zapier, Make, Google Sheets, Slack, and more. You can also use webhooks to trigger actions when a run completes.

Can I use Realestate.co.nz Scraper with the Apify API?

Yes. You can start runs, manage inputs, and retrieve results programmatically through the Apify API. Client libraries are available for JavaScript, Python, and other languages.

Can I use Realestate.co.nz Scraper through an MCP Server?

Yes. Apify provides an MCP Server that lets AI assistants and agents call this actor directly. Use compact mode, descriptionMaxLength, a single descriptionFormat, and excludeEmptyFields to keep payloads manageable for LLM context windows.

Is it legal to scrape realestate.co.nz?

This actor extracts publicly available data from realestate.co.nz. Web scraping of public information is generally considered legal, but you should always review the target site's terms of service and ensure your use case complies with applicable laws and regulations, including GDPR where relevant.

Your feedback

If you have questions, need a feature, or found a bug, please open an issue on the actor's page in Apify Console. Your feedback helps us improve.

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Getting started with Apify

New to Apify? Create a free account with $5 credit — no credit card required.

1. Sign up — $5 platform credit included
2. Open this actor and configure your input
3. Click Start — export results as JSON, CSV, or Excel

Need more later? See Apify pricing.