Realestate.co.nz Scraper | $1.8 / 1k | Fast & Reliable ## Overview Realestate.co.nz Scraper captures structured property data from New Zealand’s 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. | — | | district | array of strings | District names within the selected city (e.g., Auckland City, Manukau City). | — | | suburbs | array of strings | One or more suburbs within the chosen district (e.g., Auckland Central, Avondale). | — | | limit | integer | Maximum number of listings to save per input. Minimum is 10. | 50000 | | proxyConfiguration | object | Connection settings. The default residential proxy keeps runs stable. | Uses Apify Residential Proxy | ## Example Input json { "startUrls": [ "https://www.realestate.co.nz/residential/sale/auckland/auckland-city/blockhouse-bay" ], "city": ["Auckland"], "district": ["Auckland City"], "suburbs": ["Blockhouse Bay"], "limit": 200 } ## Example Output Each dataset item represents one property listing with its key attributes. json { "id": "42933442", "title": "Home, shed and land – what a find!", "url": "https://www.realestate.co.nz/...", "price": "Auction", "location": "Kerikeri, Northland", "propertyType": "House", "bedrooms": 4, "bathrooms": 2, "garages": 2, "floorArea": 0, "floorAreaUnit": "sqm", "landArea": 1.977, "landAreaUnit": "HA", "photos": [ { "thumbnail": ".crop.31x40.jpg", "order": 1 }, { "thumbnail": ".crop.31x40.jpg", "order": 2 } ], "open-homes": [ { "start": "2025-11-22T14:00:00+13:00", "end": "2025-11-22T14:30:00+13:00" } ], "listingStatus": "active", "region": "Northland", "district": "Far North", "suburb": "Kerikeri" } * id, title, and url — identifiers and listing headline. * price — current price label or sale method. * location, region, district, suburb — geographic context for filtering or mapping. * propertyType, bedrooms, bathrooms, garages, floorArea, landArea — core property attributes. * photos — thumbnails with ordering to preview visuals. * open-homes — scheduled inspection windows. * listingStatus — whether the listing is active at capture time. ## Notes & Limitations * Use responsibly and respect Realestate.co.nz’s 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