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🏠 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_TOKENwith your actual token - The workflow uses
super=truefor 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_IDwith your actual Google Sheet ID - Replace
YOUR_GOOGLE_SHEETS_CREDENTIAL_IDwith 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
🎯 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.