🏙️ Zillow Property Lead Scraper

📋 Introduction

Perform broad market analysis with the Zillow Property Lead Scraper. This actor allows you to ingest any Zillow search URL—representing a city, zip code, or custom filtered view—and systematically extract every property listing found.

It is the essential tool for aggregating large datasets of available inventory, whether you are tracking supply trends, building a comparative market analysis (CMA), or populating a property portal.

Note: Configured for the propertyList data scope.

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🚀 Key Capabilities

• Bulk Inventory Extraction: Scrape complete lists of properties from multiple search URLs in a single run.
• Essential Data Points: Capture core listing details including price, address, bed/bath counts, and square footage.
• Flexible Targeting: Supports any valid Zillow search URL, allowing you to define your own geographic or attribute-based filters on the Zillow site before scraping.

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⚙️ Configuration

Simply provide the URLs for the search results pages you wish to harvest.

Input Parameters

Parameter	Type	Necessity	Description
url_list	Array	Required	A list of Zillow search result page URLs (e.g., specific cities or zip codes).

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📥 Input Example

{
  "url_list": [
    "https://www.zillow.com/dunwoody-ga-30360/",
    "https://www.zillow.com/santa-monica-ca/"
  ]
}

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📤 Sample Output

The output aggregates the listings found for each provided URL.

{
  "url": "https://www.zillow.com/dunwoody-ga-30360/",
  "totalResults": 45,
  "properties": [
    {
      "zuid": "20482366",
      "address": "123 Main St, Dunwoody, GA 30360",
      "price": 450000,
      "details": {
          "beds": 3,
          "baths": 2,
          "sqft": 1850
      }
    },
    {
      "zuid": "20482367",
      "address": "456 Oak Ave, Dunwoody, GA 30360",
      "price": 525000,
      "details": {
          "beds": 4,
          "baths": 3,
          "sqft": 2200
      }
    }
  ]
}

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💡 Best Practices

• Filter Pre-Selection: Use Zillow's advanced filters (e.g., "Sold in last 90 days", "Price > $500k") to generate specific URLs, then feed those into this actor for highly targeted datasets.
• Regular Monitoring: Schedule this actor to run daily on key market URLs to track new listings and price changes over time.