Zealty Search Scraper

Introduction

The Zealty Search Scraper is a powerful Apify Actor designed to extract real estate property listings from Zealty, a popular real estate platform. It allows users to filter listings by specific area names in Vancouver, enabling targeted data collection for market analysis, investment research, and more. With reliable scraping capabilities, this Actor delivers structured data on property details, prices, and images, helping users make informed decisions quickly and efficiently.

Features

• Targeted Scraping: Filter properties by multiple area names for precise data extraction.
• Comprehensive Data: Captures key details like listing prices, addresses, agent info, property specs, and images.
• High Performance: Built on CheerioCrawler for fast, efficient web scraping with minimal resource usage.
• Flexible Limits: Set maximum requests to control crawl depth and avoid overloading sources.
• Reliable Output: Provides clean, structured JSON data ready for analysis or export.
• Error Handling: Includes built-in mechanisms to manage rate limits and site changes.
• Easy Integration: Seamlessly integrates with Apify's ecosystem for scheduling and data processing.

Input Parameters

Parameter	Type	Required	Description	Example
areaNames	array	Yes	List of area names to filter properties. Choose from predefined Vancouver areas.	["West End VW", "Kitsilano"]
maxItems	integer	No	Maximum number of requests that can be made by this crawler. Default is 100.	50

Example Usage

Input JSON

{
  "areaNames": ["West End VW", "Kitsilano"],
  "maxItems": 100
}

Output JSON

[
  {
    "listingPrice": 1408000,
    "listingPricePrev": 0,
    "listingPriceOrig": 1408,
    "streetAddress": "#1406 1408 ROBSON STREET",
    "city": "Vancouver",
    "areaName": "West End VW",
    "listingAgent": "Wilson Tsang PREC*",
    "listingBrokerage": "Magnum Projects Ltd.",
    "listingDate": "2026-01-28T00:00:00.000Z",
    "province": "BC",
    "postalCode": "V6G 1B9",
    "bedroomCount": 2,
    "bathroomCount": 2,
    "houseSize": 929,
    "lotSize": 0,
    "type": "Apartment/Condo",
    "mlsNumber": "R3084774",
    "status": "A",
    "soldPrice": null,
    "latitude": 49.2881,
    "longitude": -123.13082,
    "access": "2026-01-29T23:49:59.200Z",
    "openHouse": "",
    "lotBoundary": "49.28854,-123.13113,49.2879,-123.13015,49.28766,-123.13051,49.2883,-123.13149,49.28854,-123.13113",
    "images": [
      "https://dvvjkgh94f2v6.cloudfront.net/8ab08887/263106401/83dcefb7.jpeg",
      "https://dvvjkgh94f2v6.cloudfront.net/8ab08887/263106401/1ad5be0d.jpeg",
      "https://dvvjkgh94f2v6.cloudfront.net/8ab08887/263106401/6dd28e9b.jpeg",
      "https://dvvjkgh94f2v6.cloudfront.net/8ab08887/263106401/f3b61b38.jpeg",
      "https://dvvjkgh94f2v6.cloudfront.net/8ab08887/263106401/84b12bae.jpeg",
      "https://dvvjkgh94f2v6.cloudfront.net/8ab08887/263106401/1db87a14.jpeg",
      "https://dvvjkgh94f2v6.cloudfront.net/8ab08887/263106401/6abf4a82.jpeg",
      "https://dvvjkgh94f2v6.cloudfront.net/8ab08887/263106401/fa005713.jpeg",
      "https://dvvjkgh94f2v6.cloudfront.net/8ab08887/263106401/8d076785.jpeg",
      "https://dvvjkgh94f2v6.cloudfront.net/8ab08887/263106401/a15d25e1.jpeg",
      "https://dvvjkgh94f2v6.cloudfront.net/8ab08887/263106401/d65a1577.jpeg"
    ],
    "scrapedPage": 20,
    "scrapedAt": "2026-02-10T11:44:52.996Z"
  }
]

Use Cases

• Market Research: Analyze property trends and pricing in specific Vancouver neighborhoods.
• Investment Analysis: Identify undervalued properties or track price fluctuations for portfolio management.
• Real Estate Agents: Gather competitive listings to inform clients and strategies.
• Academic Studies: Collect data for urban planning or economic research on housing markets.
• Price Monitoring: Set up automated scrapes to monitor changes in listing prices over time.
• Content Aggregation: Build databases for real estate blogs, apps, or comparison tools.

Installation and Usage

1. Search for "Zealty Search Scraper" in the Apify Store.
2. Click "Try for free" or "Run".
3. Configure input parameters (e.g., select area names and set maxItems).
4. Click "Start" to begin extraction.
5. Monitor progress in the log.
6. Export results in your preferred format (JSON, CSV, Excel).

Output Format

The Actor outputs an array of JSON objects, each representing a property listing. Key fields include listingPrice (current price), streetAddress, city, areaName, listingAgent, bedroomCount, bathroomCount, houseSize, type (e.g., Apartment/Condo), mlsNumber, latitude/longitude, images (array of URLs), and scrapedAt (timestamp). This structured format ensures easy parsing and integration into databases or analytics tools. Note that some fields like soldPrice may be null if not applicable.

Support

For custom/simplified outputs or bug reports, please contact:

• Email: support@getdataforme.com
• Subject line: "custom support"
• Contact form: https://getdataforme.com/contact/

We're here to help you get the most out of this Actor!