Extract Zillow Property Data to Google Sheets with Scrape.do

Description

🏠 Extract Zillow Property Data to Google Sheets with Scrape.do

This template requires a self-hosted n8n instance to run.

A complete n8n automation that extracts property listing data from Zillow URLs using Scrape.do web scraping API, parses key property information, and saves structured results into Google Sheets for real estate analysis, market research, and property tracking.

📋 Overview

This workflow provides a lightweight real estate data extraction solution that pulls property details from Zillow listings and organizes them into a structured spreadsheet. Ideal for real estate professionals, investors, market analysts, and property managers who need automated property data collection without manual effort.

Who is this for?

Real estate investors tracking properties
Market analysts conducting property research
Real estate agents monitoring listings
Property managers organizing data
Data analysts building real estate databases

What problem does this workflow solve?

Eliminates manual copy-paste from Zillow
Processes multiple property URLs in bulk
Extracts structured data (price, address, zestimate, etc.)
Automates saving results into Google Sheets
Ensures repeatable & consistent data collection

⚙️ What this workflow does

Manual Trigger → Starts the workflow manually
Read Zillow URLs from Google Sheets → Reads property URLs from a Google Sheet
Scrape Zillow URL via Scrape.do → Fetches full HTML from Zillow (bypasses PerimeterX protection)
Parse Zillow Data → Extracts structured property information from HTML
Write Results to Google Sheets → Saves parsed data into a results sheet

📊 Output Data Points

| Field | Description | Example |
|-------|-------------|---------|
| URL | Original Zillow listing URL | https://www.zillow.com/homedetails/... |
| Price | Property listing price | $300,000 |
| Address | Street address | 8926 Silver City |
| City | City name | San Antonio |
| State | State abbreviation | TX |
| Days on Zillow | How long listed | 5 |
| Zestimate | Zillow's estimated value | $297,800 |
| Scraped At | Timestamp of extraction | 2025-01-29T12:00:00.000Z |

⚙️ Setup

Prerequisites

n8n instance (self-hosted)
Google account with Sheets access
Scrape.do account with API token (Get 1000 free credits/month)

Google Sheet Structure

This workflow uses one Google Sheet with two tabs:

Input Tab: "Sheet1"

| Column | Type | Description | Example |
|--------|------|-------------|---------|
| URLs | URL | Zillow listing URL | https://www.zillow.com/homedetails/123... |

Output Tab: "Results"

| Column | Type | Description | Example |
|--------|------|-------------|---------|
| URL | URL | Original listing URL | https://www.zillow.com/homedetails/... |
| Price | Text | Property price | $300,000 |
| Address | Text | Street address | 8926 Silver City |
| City | Text | City name | San Antonio |
| State | Text | State code | TX |
| Days on Zillow | Number | Days listed | 5 |
| Zestimate | Text | Estimated value | $297,800 |
| Scraped At | Timestamp | When scraped | 2025-01-29T12:00:00.000Z |

🛠 Step-by-Step Setup

Import Workflow: Copy the JSON → n8n → Workflows → + Add → Import from JSON

Configure Scrape.do API:
Sign up at Scrape.do Dashboard
Get your API token
In HTTP Request node, replace YOUR_SCRAPE_DO_TOKEN with your actual token
The workflow uses super=true for premium residential proxies (10 credits per request)

Configure Google Sheets:
Create a new Google Sheet
Add two tabs: "Sheet1" (input) and "Results" (output)
In Sheet1, add header "URLs" in cell A1
Add Zillow URLs starting from A2
Set up Google Sheets OAuth2 credentials in n8n
Replace YOUR_SPREADSHEET_ID with your actual Google Sheet ID
Replace YOUR_GOOGLE_SHEETS_CREDENTIAL_ID with your credential ID

Run & Test:
Add 1-2 test Zillow URLs in Sheet1
Click "Execute workflow"
Check results in Results tab

🧰 How to Customize

Add more fields**: Extend parsing logic in "Parse Zillow Data" node to capture additional data (bedrooms, bathrooms, square footage)
Filtering**: Add conditions to skip certain properties or price ranges
Rate Limiting**: Insert a Wait node between requests if processing many URLs
Error Handling**: Add error branches to handle failed scrapes gracefully
Scheduling**: Replace Manual Trigger with Schedule Trigger for automated daily/weekly runs

📊 Use Cases

Investment Analysis**: Track property prices and zestimates over time
Market Research**: Analyze listing trends in specific neighborhoods
Portfolio Management**: Monitor properties for sale in target areas
Competitive Analysis**: Compare similar properties across locations
Lead Generation**: Build databases of properties matching specific criteria

📈 Performance & Limits

Single Property**: ~5-10 seconds per URL
Batch of 10**: 1-2 minutes typical
Large Sets (50+)**: 5-10 minutes depending on Scrape.do credits
API Calls**: 1 Scrape.do request per URL (10 credits with super=true)
Reliability**: 95%+ success rate with premium proxies

🧩 Troubleshooting

| Problem | Solution |
|---------|----------|
| API error 400 | Check your Scrape.do token and credits |
| URL showing "undefined" | Verify Google Sheet column name is "URLs" (capital U) |
| No data parsed | Check if Zillow changed their HTML structure |
| Permission denied | Re-authenticate Google Sheets OAuth2 in n8n |
| 50000 character error | Verify Parse Zillow Data code is extracting fields, not returning raw HTML |
| Price shows HTML/CSS | Update price extraction regex in Parse Zillow Data node |

🤝 Support & Community

Scrape.do Documentation
Scrape.do Dashboard
Scrape.do Zillow Scraping Guide
n8n Forum
n8n Docs

🎯 Final Notes

This workflow provides a repeatable foundation for extracting Zillow property data with Scrape.do and saving to Google Sheets. You can extend it with:

Historical tracking (append timestamps)
Price change alerts (compare with previous scrapes)
Multi-platform scraping (Redfin, Realtor.com)
Integration with CRM or reporting dashboards

Important: Scrape.do handles all anti-bot bypassing (PerimeterX, CAPTCHAs) automatically with rotating residential proxies, so you only pay for successful requests. Always use super=true parameter for Zillow to ensure high success rates.