RealEstate.co.nz Scraper with Contacts & Financials
Pricing
$1.00 / 1,000 results
RealEstate.co.nz Scraper with Contacts & Financials
Scrape New Zealand property listings from Realestate.co.nz including prices, addresses, specs, agent info and more. Perfect for real estate analytics, lead generation, or dashboards.
Pricing
$1.00 / 1,000 results
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0.0
(0)
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4
Bookmarked
33
Total users
7
Monthly active users
12 hours
Issues response
15 hours ago
Last modified
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Realestate.co.nz Scraper | $1.8 / 1k | Fast & Reliable
Overview
Realestate.co.nz Scraper captures structured property data from New Zealandβs leading real estate marketplace. It collects listing details such as titles, prices, locations, property types, bedrooms, bathrooms, land and floor areas, photos, open home schedules, and more. Realestate.co.nz aggregates nationwide listings across residential sales and rentals, making it an essential source for understanding market supply, pricing signals, and regional trends without manual browsing.
This actor automates the process from start to finish, ensuring dependable runs, consistent data quality, and significant time savings for teams that need fresh property intelligence at scale.
Why Use This Actor
- Market and pricing analysis: Track inventory shifts, asking prices, and featured listings across cities, districts, and suburbs.
- Lead generation and outreach: Build contact-ready datasets for agencies, investors, and property services based on targeted locations or direct listing links.
- Portfolio and product tracking: Monitor listings that match investment criteria, compare attributes, and export structured records to your own tools.
- Directory and data enrichment: Create clean, location-aware datasets for dashboards, research projects, or downstream enrichment.
- Repeatable automation: Schedule recurring runs to keep datasets current without manual effort.
Input Parameters
| Parameter | Type | Description | Default |
|---|---|---|---|
startUrls | array of strings | One or more Realestate.co.nz search, category, or individual listing URLs to capture. Use this when you already have target pages. | Prefilled example provided |
city | array of strings | City names to fetch listings from (e.g., Auckland, Bay of Plenty). Leave empty to include all New Zealand listings. | β |
district | array of strings | District names within the selected city (e.g., Auckland City, Manukau City). | β |
suburbs | array of strings | One or more suburbs within the chosen district (e.g., Auckland Central, Avondale). | β |
listing_type | string | Listing channel for query-built searches: sale, rental, or sold. | sale |
sort_by | string | Result ordering for query-built searches: latest, featured, or latest-sale. | latest |
min_price / max_price | integer | Sale/sold price range, or weekly rent range for rentals. | β |
min_bedrooms / max_bedrooms | integer | Bedroom range. | β |
min_bathrooms / max_bathrooms | integer | Bathroom range. | β |
min_carparks | integer | Minimum number of carparks. | β |
min_land_area / max_land_area | integer | Land area range in square metres. | β |
min_floor_area / max_floor_area | integer | Floor area range in square metres. | β |
has_swimming_pool | boolean | Only include listings with a swimming pool. | false |
sale_property_types | array of strings | Sale/sold property type IDs such as House 1, Section 9, or Townhouse 4. | β |
rental_property_types | array of strings | Rental property type IDs such as House 10, Unit 14, or Studio 12. | β |
publication_date | string | Optional publication-date window. Use last_24_hours, last_3_days, last_7_days, last_30_days, or last_90_days to keep only recently published listings. | β |
limit | integer | Maximum number of listings to save per input. Minimum is 1. | 50000 |
get_valuations | boolean | Collect council CV, estimated value, valuation history, and sale history when available. This makes extra property-profile requests and may slow the run. | false |
proxyConfiguration | object | Connection settings. The default residential proxy keeps runs stable. | Uses Apify Residential Proxy |
Example Input
{"city":["Auckland"],"district":["Auckland City"],"suburbs":["Blockhouse Bay"],"listing_type":"sale","min_price":200000,"min_bedrooms":1,"max_bedrooms":4,"sale_property_types":["1","9","4"],"publication_date":"last_7_days","limit":200,"get_valuations":false}
Example Output
Each dataset item represents one normalized property listing record. Source-specific details that do not fit a stronger real estate group are preserved under attributes or source_context.
{"record_type":"property_listing","record_id":"43036571","source_context":{"source_name":"Realestate.co.nz","source_domain":"realestate.co.nz","source_url":"https://platform.realestate.co.nz/search/v1/listings?filter%5Bsuburb%5D%5B%5D=2776&page%5Boffset%5D=0&page%5Blimit%5D=10","listing_url":"https://www.realestate.co.nz/43036571/residential/sale/32-donovan-street-blockhouse-bay","seed_type":"listing","search_filters":{"suburb":"2776"},"search_paging":{"limit":10,"offset":0},"external_ids":{"listing_no":"1672920","website_slug":"/43036571/residential/sale/32-donovan-street-blockhouse-bay"}},"entity":{"title":"Timeless 1950s home with dual title potential","description":"Built in 1953, this solid and well-maintained home offers classic mid-century appeal combined with outstanding future potential.","url":"https://www.realestate.co.nz/43036571/residential/sale/32-donovan-street-blockhouse-bay","status":"active","category":"House","external_ids":{"listing_id":"1672920"}},"listing":{"listing_id":"1672920","listing_type":"res_sale","listing_status":"active","listing_category_code":"res_sale","listing_subtype":"House","published_at":"2026-04-17T11:19:04","is_featured":true,"auction":{"date":"2026-05-02","time":"13:30:00","location":"Onsite"},"open_houses":[{"start":"2026-05-02T14:00:00+12:00","end":"2026-05-02T14:30:00+12:00"}]},"pricing":{"price_text":"Auction"},"location":{"full_address":"32 Donovan Street, Blockhouse Bay, Auckland City, Auckland","address":"32 Donovan Street, Blockhouse Bay","suburb":"Blockhouse Bay","district":"Auckland City","region":"Auckland","country":"New Zealand","coordinates":{"lat":-36.9221307,"lng":174.7033677}},"property":{"property_type":"House","bedrooms":3,"bathrooms":1,"garages":1,"floor_area":98,"floor_area_unit":"sqm","land_area":677,"land_area_unit":"SQM"},"media":{"main_image_url":"/listings/43036571/5b80da40138d38c7b145b267cb804130","photos":[{"order":1,"base_url":"/listings/43036571/5b80da40138d38c7b145b267cb804130","variants":{"thumbnail":".crop.31x40.jpg","large":".resize.1024x768.jpg"}}]},"relationships":{"agents":[{"id":"12345","name":"Sample Agent","email":"agent@example.com","phone_mobile":"+64 21 000 0000"}],"agencies":[{"id":"67890","name":"Example Realty"}]},"attributes":{"education":{"schools":[]},"matched_listings":[]}}
record_typeandrecord_ididentify each saved property row.source_contextkeeps source provenance, input filters, paging, listing URL, and source identifiers.entity,listing,pricing,location, andpropertyhold the core real estate facts.media,contact_details, andrelationshipspreserve photos, agents, agencies, and contact channels when the source returns them.pricingandattributesinclude council CV, estimated values, sale history, and valuation history whenget_valuationsis enabled and the source provides those fields.attributeskeeps meaningful source-specific details such as school context, broadband data, matched listings, and valuation history.
Notes & Limitations
- Use responsibly and respect Realestate.co.nzβs terms of service and any applicable legal requirements.
- Begin with smaller limits to confirm inputs before scaling up.
- Avoid storing or using personal data without the proper legal basis.
Support
Questions or custom needs? Open an issue on the Issues tab of the actor page in Apify Console and it will be resolved around the clock.
Happy Scraping,
- Fatih
