Zillow Urls Scraper

Scrape structured property data from individual Zillow listing pages. Provide a list of URLs and receive detailed JSON output for real estate analysis, research, or data collection.

Overview

This actor extracts detailed property information from specific Zillow listing URLs. It's designed for developers who need to programmatically gather real estate data for market analysis, lead generation, or building datasets.

Key Features

• Extracts comprehensive property details from Zillow listings.
• Handles multiple URLs in a single run.
• Outputs structured JSON data ready for analysis.
• Uses Apify Proxy (residential proxies recommended) to handle requests.

Data points extracted include:
* Listing price, history, and time on market
* Property details (lot size, special conditions, community features)
* Agent contact information (name, phone)
* School assignments with ratings and distance
* Walk Score and Bike Score
* Engagement metrics (favorite count, page views)

How to Use

Provide an input configuration containing an array of Zillow URLs and a proxy setup.

Input

The actor expects a JSON object with the following structure:

{
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [ "RESIDENTIAL" ]
  },
  "urls": [
    "https://www.zillow.com/homedetails/0-Sisk-St-Scottsboro-AL-35768/442684862_zpid/"
  ]
}

• urls: Required. An array of valid Zillow property listing URLs.
• proxyConfiguration: Recommended. Using Apify Proxy with the RESIDENTIAL group is advised for reliable scraping.

Output

The result is a JSON array where each object contains the scraped data for one property URL.

[
  {
    "onMarketDate": 1738175675000,
    "lotSize": "0.35 Acres",
    "specialListingConditions": "As Is",
    "timeOnZillow": "106 days",
    "daysOnZillow": 106,
    "listedByName": "William Killough",
    "listedByPhone": "205-966-9918",
    "assignedSchools": [
      {
        "name": "Talladega Co Genesis School",
        "grades": "3-12",
        "distance": 3.9
      }
    ],
    "walkScore": {
      "description": "Car-Dependent",
      "walkscore": 0
    },
    "priceHistory": [
      {
        "date": "2025-01-29",
        "event": "Listed for sale",
        "price": 3000
      }
    ]
  }
]

Use Cases

• Real estate investment and market analysis.
• Building localized housing market datasets.
• Competitive analysis for real estate professionals.
• Researching school districts near properties.
• Monitoring listings for price or status changes.

Support & Related Tools

For custom output structures, integration help, or to report bugs, contact: support@getdataforme.com or use the Contact Form.

Related Apify actors:
* Zillow Search Results Scraper
* Realtor Property Scraper
* Walk Score Scraper