How to Scrape Zillow: The Ultimate Guide for Real Estate Data (2025)

Learn how to scrape Zillow property listings, prices, and Zestimates. This guide covers anti-bot bypass, API alternatives, and lead generation strategies.

Coverage:United StatesCanada
Available Data10 fields
TitlePriceLocationDescriptionImagesSeller InfoContact InfoPosting DateCategoriesAttributes
All Extractable Fields
Property AddressSale PriceRent PriceZestimateNumber of BedroomsNumber of BathroomsSquare FootageLot SizeYear BuiltProperty TypeDays on ZillowListing Agent NameBrokerage NameTax HistoryPrice HistorySchool RatingsHOA Fees
Technical Requirements
JavaScript Required
No Login
Has Pagination
Official API Available
Anti-Bot Protection Detected
DataDomeCloudflarereCAPTCHARate LimitingBehavioral AnalysisTLS Fingerprinting

Anti-Bot Protection Detected

DataDome
Real-time bot detection with ML models. Analyzes device fingerprint, network signals, and behavioral patterns. Common on e-commerce sites.
Cloudflare
Enterprise-grade WAF and bot management. Uses JavaScript challenges, CAPTCHAs, and behavioral analysis. Requires browser automation with stealth settings.
Google reCAPTCHA
Google's CAPTCHA system. v2 requires user interaction, v3 runs silently with risk scoring. Can be solved with CAPTCHA services.
Rate Limiting
Limits requests per IP/session over time. Can be bypassed with rotating proxies, request delays, and distributed scraping.
Behavioral Analysis
Browser Fingerprinting
Identifies bots through browser characteristics: canvas, WebGL, fonts, plugins. Requires spoofing or real browser profiles.

About Zillow

Learn what Zillow offers and what valuable data can be extracted from it.

The North American Real Estate Leader

Zillow is the leading real estate and rental marketplace in the United States and Canada, providing a comprehensive database of millions of homes for sale, for rent, and historical data. Owned and operated by Zillow Group, the platform is the primary destination for consumers seeking home valuations and deep insights into local housing markets.

Comprehensive Data Points

The website contains a wealth of structured data including property prices, historical sales, physical attributes (beds, baths, square footage), tax history, and contact information for listing agents. This information is updated in near real-time, making it the industry standard for current market availability.

Business Value of Scraped Data

This data is invaluable for real estate professionals, analysts, and investors who need to monitor market fluctuations and perform large-scale valuation modeling. By extracting the Zestimate (Zillow's proprietary valuation), businesses can benchmark property values against historical trends and local market competition at scale.

About Zillow

Why Scrape Zillow?

Discover the business value and use cases for extracting data from Zillow.

Real Estate Investment Analysis

Competitive Pricing Strategy

Lead Generation for Real Estate Agents

Market Trend Monitoring

Property Valuation Modeling

Historical Sale and Tax Research

Automated Appraisal Systems

Scraping Challenges

Technical challenges you may encounter when scraping Zillow.

Aggressive anti-bot protection using DataDome and Cloudflare

Dynamic content rendering requiring heavy JavaScript execution

Frequent structure updates and CSS class obfuscation

Strict rate limiting and IP-based blocking based on request patterns

CAPTCHA challenges triggered by automated browsing signatures

Scrape Zillow with AI

No coding required. Extract data in minutes with AI-powered automation.

How It Works

1

Describe What You Need

Tell the AI what data you want to extract from Zillow. Just type it in plain language — no coding or selectors needed.

2

AI Extracts the Data

Our artificial intelligence navigates Zillow, handles dynamic content, and extracts exactly what you asked for.

3

Get Your Data

Receive clean, structured data ready to export as CSV, JSON, or send directly to your apps and workflows.

Why Use AI for Scraping

Built-in bypass for DataDome and Cloudflare protection
Visual, no-code interface for complex real estate workflows
Managed residential proxy rotation to avoid IP bans
Cloud-based scheduling for tracking daily price changes
Direct data exports to CSV, JSON, and Google Sheets
No credit card requiredFree tier availableNo setup needed

AI makes it easy to scrape Zillow without writing any code. Our AI-powered platform uses artificial intelligence to understand what data you want — just describe it in plain language and the AI extracts it automatically.

How to scrape with AI:
  1. Describe What You Need: Tell the AI what data you want to extract from Zillow. Just type it in plain language — no coding or selectors needed.
  2. AI Extracts the Data: Our artificial intelligence navigates Zillow, handles dynamic content, and extracts exactly what you asked for.
  3. Get Your Data: Receive clean, structured data ready to export as CSV, JSON, or send directly to your apps and workflows.
Why use AI for scraping:
  • Built-in bypass for DataDome and Cloudflare protection
  • Visual, no-code interface for complex real estate workflows
  • Managed residential proxy rotation to avoid IP bans
  • Cloud-based scheduling for tracking daily price changes
  • Direct data exports to CSV, JSON, and Google Sheets

No-Code Web Scrapers for Zillow

Point-and-click alternatives to AI-powered scraping

Several no-code tools like Browse.ai, Octoparse, Axiom, and ParseHub can help you scrape Zillow. These tools use visual interfaces to select elements, but they come with trade-offs compared to AI-powered solutions.

Typical Workflow with No-Code Tools

1
Install browser extension or sign up for the platform
2
Navigate to the target website and open the tool
3
Point-and-click to select data elements you want to extract
4
Configure CSS selectors for each data field
5
Set up pagination rules to scrape multiple pages
6
Handle CAPTCHAs (often requires manual solving)
7
Configure scheduling for automated runs
8
Export data to CSV, JSON, or connect via API

Common Challenges

Learning curve

Understanding selectors and extraction logic takes time

Selectors break

Website changes can break your entire workflow

Dynamic content issues

JavaScript-heavy sites often require complex workarounds

CAPTCHA limitations

Most tools require manual intervention for CAPTCHAs

IP blocking

Aggressive scraping can get your IP banned

No-Code Web Scrapers for Zillow

Several no-code tools like Browse.ai, Octoparse, Axiom, and ParseHub can help you scrape Zillow. These tools use visual interfaces to select elements, but they come with trade-offs compared to AI-powered solutions.

Typical Workflow with No-Code Tools
  1. Install browser extension or sign up for the platform
  2. Navigate to the target website and open the tool
  3. Point-and-click to select data elements you want to extract
  4. Configure CSS selectors for each data field
  5. Set up pagination rules to scrape multiple pages
  6. Handle CAPTCHAs (often requires manual solving)
  7. Configure scheduling for automated runs
  8. Export data to CSV, JSON, or connect via API
Common Challenges
  • Learning curve: Understanding selectors and extraction logic takes time
  • Selectors break: Website changes can break your entire workflow
  • Dynamic content issues: JavaScript-heavy sites often require complex workarounds
  • CAPTCHA limitations: Most tools require manual intervention for CAPTCHAs
  • IP blocking: Aggressive scraping can get your IP banned

Code Examples

import requests
from bs4 import BeautifulSoup

# Headers to mimic a real browser to avoid instant blocks
headers = {
    'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.124 Safari/537.36',
    'Accept-Language': 'en-US,en;q=0.9',
}

def scrape_zillow(zip_code):
    url = f'https://www.zillow.com/homes/{zip_code}_rb/'
    try:
        # Initial request to listing page
        response = requests.get(url, headers=headers)
        
        # Check for DataDome/Cloudflare 403 blocks
        if response.status_code == 403:
            print('Blocked by anti-bot. Use residential proxies or a headless browser.')
            return
            
        soup = BeautifulSoup(response.text, 'html.parser')
        # Identify property cards by data-test attribute
        for card in soup.find_all('article', {'data-test': 'property-card'}):
            price = card.find('span', {'data-test': 'property-card-price'})
            addr = card.find('address', {'data-test': 'property-card-addr'})
            print(f'Price: {price.text if price else "N/A"} | Address: {addr.text if addr else "N/A"}')
    except Exception as e:
        print(f'Error: {e}')

scrape_zillow('90210')

When to Use

Best for static HTML pages where content is loaded server-side. The fastest and simplest approach when JavaScript rendering isn't required.

Advantages

  • Fastest execution (no browser overhead)
  • Lowest resource consumption
  • Easy to parallelize with asyncio
  • Great for APIs and static pages

Limitations

  • Cannot execute JavaScript
  • Fails on SPAs and dynamic content
  • May struggle with complex anti-bot systems

How to Scrape Zillow with Code

Python + Requests
import requests
from bs4 import BeautifulSoup

# Headers to mimic a real browser to avoid instant blocks
headers = {
    'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.124 Safari/537.36',
    'Accept-Language': 'en-US,en;q=0.9',
}

def scrape_zillow(zip_code):
    url = f'https://www.zillow.com/homes/{zip_code}_rb/'
    try:
        # Initial request to listing page
        response = requests.get(url, headers=headers)
        
        # Check for DataDome/Cloudflare 403 blocks
        if response.status_code == 403:
            print('Blocked by anti-bot. Use residential proxies or a headless browser.')
            return
            
        soup = BeautifulSoup(response.text, 'html.parser')
        # Identify property cards by data-test attribute
        for card in soup.find_all('article', {'data-test': 'property-card'}):
            price = card.find('span', {'data-test': 'property-card-price'})
            addr = card.find('address', {'data-test': 'property-card-addr'})
            print(f'Price: {price.text if price else "N/A"} | Address: {addr.text if addr else "N/A"}')
    except Exception as e:
        print(f'Error: {e}')

scrape_zillow('90210')
Python + Playwright
from playwright.sync_api import sync_playwright

def scrape_zillow():
    with sync_playwright() as p:
        # Launching with a real user agent to bypass basic checks
        browser = p.chromium.launch(headless=True)
        context = browser.new_context(user_agent='Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36')
        page = context.new_page()
        
        # Navigate and wait for content to be fully rendered by React
        page.goto('https://www.zillow.com/homes/for_sale/90210_rb/', wait_until='networkidle')
        
        # Wait for property card selectors to appear
        page.wait_for_selector('[data-test="property-card"]')
        
        # Extract data from the rendered DOM
        listings = page.query_selector_all('[data-test="property-card"]')
        for listing in listings:
            price_el = listing.query_selector('[data-test="property-card-price"]')
            address_el = listing.query_selector('address')
            
            price = price_el.inner_text() if price_el else "N/A"
            address = address_el.inner_text() if address_el else "N/A"
            print(f'Price: {price}, Address: {address}')
            
        browser.close()

scrape_zillow()
Python + Scrapy
import scrapy
import json

class ZillowSpider(scrapy.Spider):
    name = 'zillow'
    start_urls = ['https://www.zillow.com/homes/for_sale/90210_rb/']

    def parse(self, response):
        # Zillow stores data in a JSON script tag called __NEXT_DATA__
        # This is more stable than scraping the HTML layout
        json_data = response.xpath('//script[@id="__NEXT_DATA__"]/text()').get()
        if json_data:
            data = json.loads(json_data)
            # Navigate the nested JSON structure to find the listing results
            results = data.get('props', {}).get('pageProps', {}).get('searchPageState', {}).get('cat1', {}).get('searchResults', {}).get('listResults', [])
            for item in results:
                yield {
                    'price': item.get('price'),
                    'address': item.get('address'),
                    'zpid': item.get('zpid'),
                    'bedrooms': item.get('beds'),
                    'bathrooms': item.get('baths')
                }
Node.js + Puppeteer
const puppeteer = require('puppeteer-extra');
const StealthPlugin = require('puppeteer-extra-plugin-stealth');
puppeteer.use(StealthPlugin());

(async () => {
  // Launching browser with stealth plugin to avoid DataDome detection
  const browser = await puppeteer.launch({ headless: true });
  const page = await browser.newPage();
  
  // Set an extra header to appear more human
  await page.setExtraHTTPHeaders({
    'Accept-Language': 'en-US,en;q=0.9'
  });

  await page.goto('https://www.zillow.com/homes/for_sale/90210_rb/', { waitUntil: 'networkidle2' });

  const properties = await page.evaluate(() => {
    const cards = Array.from(document.querySelectorAll("[data-test='property-card']"));
    return cards.map(card => ({
      price: card.querySelector("[data-test='property-card-price']")?.innerText,
      address: card.querySelector("address")?.innerText
    }));
  });

  console.log(properties);
  await browser.close();
})();

What You Can Do With Zillow Data

Explore practical applications and insights from Zillow data.

Investment Arbitrage Discovery

Real estate investors can identify undervalued properties by comparing listing prices directly to historical Zestimates.

How to implement:

  1. 1Scrape active listings for target zip codes daily.
  2. 2Store data in a time-series database for trend analysis.
  3. 3Compare listing prices to historical Zestimate values.
  4. 4Trigger automated alerts for properties priced 10% below local median.

Use Automatio to extract data from Zillow and build these applications without writing code.

What You Can Do With Zillow Data

  • Investment Arbitrage Discovery

    Real estate investors can identify undervalued properties by comparing listing prices directly to historical Zestimates.

    1. Scrape active listings for target zip codes daily.
    2. Store data in a time-series database for trend analysis.
    3. Compare listing prices to historical Zestimate values.
    4. Trigger automated alerts for properties priced 10% below local median.
  • Mortgage Lead Generation

    Lenders can identify homeowners who have recently listed properties to offer refinancing or new loan products.

    1. Extract new 'For Sale' listing data hourly.
    2. Cross-reference owners with public tax and deed records.
    3. Enrich leads with verified contact information.
    4. Automate personalized outreach campaigns for mortgage services.
  • Zestimate Accuracy Audit

    Appraisers use scraped data to verify the reliability of automated valuations in specific neighborhoods.

    1. Scrape 'Recently Sold' data for the last 6 months.
    2. Calculate the delta between Sale Price and the last Zestimate.
    3. Map error margins geographically to identify valuation biases.
    4. Use data to adjust human appraisal models.
  • Rental Market Optimization

    Property managers monitor rental price fluctuations to set optimal rates for their portfolios.

    1. Scrape rental listings across target ZIP codes weekly.
    2. Analyze pricing trends for different bedroom/bathroom counts.
    3. Identify high-demand neighborhoods based on listing turnover speed.
    4. Adjust portfolio pricing dynamically based on real-time market data.
  • Competitive Brokerage Monitoring

    Real estate agencies track the inventory and listing performance of rival brokerages.

    1. Filter Zillow listings by specific competitor agent or office names.
    2. Extract 'Days on Zillow' and status changes (e.g., Pending, Sold).
    3. Benchmark average sales velocity against own performance.
    4. Visualize market share shifts using business intelligence tools.
More than just prompts

Supercharge your workflow with AI Automation

Automatio combines the power of AI agents, web automation, and smart integrations to help you accomplish more in less time.

AI Agents
Web Automation
Smart Workflows

Pro Tips for Scraping Zillow

Expert advice for successfully extracting data from Zillow.

Target the __NEXT_DATA__ script tag which contains a massive JSON blob of search results for better stability.

Use high-quality residential proxies to bypass DataDome behavioral detection which flags data center IPs.

Introduce random mouse movements and click delays to mimic human-like browsing patterns.

Rotate User-Agent strings and ensure TLS fingerprints match the declared browser signature.

Monitor search URL query parameters to generate direct links for filtered data extraction (e.g. price ranges).

Scrape during off-peak hours (late night EST) to reduce the risk of aggressive rate limiting.

Testimonials

What Our Users Say

Join thousands of satisfied users who have transformed their workflow

Jonathan Kogan

Jonathan Kogan

Co-Founder/CEO, rpatools.io

Automatio is one of the most used for RPA Tools both internally and externally. It saves us countless hours of work and we realized this could do the same for other startups and so we choose Automatio for most of our automation needs.

Mohammed Ibrahim

Mohammed Ibrahim

CEO, qannas.pro

I have used many tools over the past 5 years, Automatio is the Jack of All trades.. !! it could be your scraping bot in the morning and then it becomes your VA by the noon and in the evening it does your automations.. its amazing!

Ben Bressington

Ben Bressington

CTO, AiChatSolutions

Automatio is fantastic and simple to use to extract data from any website. This allowed me to replace a developer and do tasks myself as they only take a few minutes to setup and forget about it. Automatio is a game changer!

Sarah Chen

Sarah Chen

Head of Growth, ScaleUp Labs

We've tried dozens of automation tools, but Automatio stands out for its flexibility and ease of use. Our team productivity increased by 40% within the first month of adoption.

David Park

David Park

Founder, DataDriven.io

The AI-powered features in Automatio are incredible. It understands context and adapts to changes in websites automatically. No more broken scrapers!

Emily Rodriguez

Emily Rodriguez

Marketing Director, GrowthMetrics

Automatio transformed our lead generation process. What used to take our team days now happens automatically in minutes. The ROI is incredible.

Jonathan Kogan

Jonathan Kogan

Co-Founder/CEO, rpatools.io

Automatio is one of the most used for RPA Tools both internally and externally. It saves us countless hours of work and we realized this could do the same for other startups and so we choose Automatio for most of our automation needs.

Mohammed Ibrahim

Mohammed Ibrahim

CEO, qannas.pro

I have used many tools over the past 5 years, Automatio is the Jack of All trades.. !! it could be your scraping bot in the morning and then it becomes your VA by the noon and in the evening it does your automations.. its amazing!

Ben Bressington

Ben Bressington

CTO, AiChatSolutions

Automatio is fantastic and simple to use to extract data from any website. This allowed me to replace a developer and do tasks myself as they only take a few minutes to setup and forget about it. Automatio is a game changer!

Sarah Chen

Sarah Chen

Head of Growth, ScaleUp Labs

We've tried dozens of automation tools, but Automatio stands out for its flexibility and ease of use. Our team productivity increased by 40% within the first month of adoption.

David Park

David Park

Founder, DataDriven.io

The AI-powered features in Automatio are incredible. It understands context and adapts to changes in websites automatically. No more broken scrapers!

Emily Rodriguez

Emily Rodriguez

Marketing Director, GrowthMetrics

Automatio transformed our lead generation process. What used to take our team days now happens automatically in minutes. The ROI is incredible.

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Frequently Asked Questions About Zillow

Find answers to common questions about Zillow