Ok, so today's guide shows you how to scrape Zillow property data using no-code tools and process it with AI in Google Sheets. From data collection to owner enrichment, all without writing code or juggling a ton of different skip tracing tools.
Here's the Breakdown & Tool Requirements
Instant Data Scraper – Free Chrome extension for scraping Zillow
Gemini 1.5 Flash API – About $0.50 (roughly $0.02 per 1,000 tokens)
AI Assist for Gemini – Free tier covers 200+ executions daily
Apify Skip-Trace – $7 per 1,000 property addresses
Total cost: Around $7.50 for 1,000 properties
Step 1: Scrape Zillow Data with Instant Data Scraper
1.1 Install Instant Data Scraper Extension
Open Chrome Web Store: Go to chrome.google.com/webstore/detail/instant-data-scraper/ofaokhiedipichpaobibbnahnkdoiiah
Install the Extension: Click "Add to Chrome" → "Add Extension"
Pin the Extension: Click the puzzle piece icon → pin Instant Data Scraper for easy access
1.2 Set Up Your Search
Navigate to Zillow.com
Search your target location (e.g., "Austin, TX 78747")
Apply filters (For Rent, For Sale, price ranges, etc.)
Pro tip: You can search "For Rent By Owner" too
1.3 Scrape the Data
Click the Instant Data Scraper icon
The AI auto-detects table data
If the first table isn't right, click "Try another table."
Configure pagination:
Click "Locate Next Button" for multi-page scraping
Set crawl speed to 2-5 seconds (avoid getting blocked)
Click "Start Crawling"
1.4 Export Your Data
Preview results in the extension
Delete unwanted columns
Download as CSV (name it zillow.csv)
Your data in Column A will look something like this JSON mess:
{"@type":"SingleFamilyResidence","@context":"
http://schema.org
","name":"10537 Steinbeck Dr, Austin, TX 78747","floorSize":{"@type":"QuantitativeValue","@context":"
http://schema.org","value":"1,622"},"numberOfRooms":4,"address":{"@type
":"PostalAddress","@context":"
http://schema.org
","streetAddress":"10537 Steinbeck Dr","addressLocality":"Austin","addressRegion":"TX","postalCode":"78747"},"geo":{"@type":"GeoCoordinates","@context":"
http://schema.org
","latitude":30.139109,"longitude":-97.773315},"url":"https://www.zillow.com/homedetails/10537-Steinbeck-Dr-Austin-TX-78747/331622290_zpid/"}
Don't worry. We'll clean this up.
Step 2: Set Up AI Assist for Gemini
2.1 Install the Add-on
Open Google Sheets (new blank spreadsheet)
Extensions → Add-ons → Get add-ons
Install from workspace.google.com/marketplace/app/ai_assist_for_gemini_in_sheets_docs_and/985356259375
2.2 Get Your API Key
Go to aistudio.google.com
Sign in with Google
Click "Get API Key" → "Create API Key"
Copy and save it
2.3 Configure the Add-on
Extensions → AI Assist for Gemini → Open
Paste your API key
Select Gemini 1.5 Flash (it's fast and cheap)
Step 3: Import and Clean Your Zillow Data
3.1 Import the CSV
File → Import → Upload zillow.csv
Select "Insert new sheet"
Rename to "Raw Data"
3.2 Extract Clean Addresses
Add header in B1: Clean_Address
In B2, enter this formula:
=GEMINI_EXTRACT(A2, "Extract only the street address, city, state, and zip code (formatted as 'number and street name city state and zip code') from this real estate listing data")
Copy down to all rows. This single formula pulls everything you need.
Step 4: Extract Property Details
Important: AI Assist can only work with data already in your spreadsheet. It can't browse Zillow URLs.
If your scraped data contains "5 bd", "3 ba", "2,728 sqft":
Open AI Assist sidebar
Click "Bulk Extract"
Configure:
Source Column: A
Extract: number of bedrooms, number of bathrooms, square footage
Destination Columns: C, D, E
Click "Extract All Rows"
If these details aren't in your data, make sure Instant Data Scraper captures them during the initial scrape.
Step 5: Get Owner Info with Apify (Bulk Method)
5.1 Set Up Apify
Create an account
5.2 Bulk Process Addresses
Copy all clean addresses from column B
Click the bulk edit icon next to "street_citystatezip"
Paste addresses (one per line)
Format: Street Address City State ZIP
Example: 5004 Sea Salt Dr Austin, TX 78747
Click "Set"
5.3 Run and Export
Leave "Max Results" at 1
Click "Start"
Wait 5-10 seconds
Go to Dataset tab → Export → CSV
Import results back to your sheet
Step 6: Final Formatting
Hide column A (right-click → "Hide column")
Bold headers, freeze first row
Data → Create filter
Format → Alternating colors
Pro Tips
Scraping Best Practices:
Set 2-3 second delays between requests to avoid getting blocked
Use different search criteria if one area has too many results. Keep your searches as narrow as possible.
Address Formatting:
The streamlined single extraction formula reduces errors and processing time
Test your extraction formula on a few rows before applying to all data
Gemini 1.5 Flash is optimized for speed and cost-effectiveness for this type of task
Data Quality:
Some addresses may not return owner information… This is normal
It is normal for it to return multiple potential matches of owners, phone numbers, and emails. These tools are pulling from public records.
Direct Download Links
Essential Chrome Extensions
Instant Data Scraper: chrome.google.com/webstore/detail/instant-data-scraper/ofaokhiedipichpaobibbnahnkdoiiah
Google Sheets Add-ons
AI Assist for Gemini in Sheets, Docs, and Forms: workspace.google.com/marketplace/app/ai_assist_for_gemini_in_sheets_docs_and/985356259375
API Key Setup
Google AI Studio: aistudio.google.com
Detailed API Key Guide: geminiforwork.gwaddons.com/setup-api-keys/create-geminiai-api-key
Skip-Trace Service
Apify Skip-Trace: apify.com/sorower/skip-trace
Overview
Anyway, this workflow is one of the most efficient methods that I know of.
It combines the free Instant Data Scraper with AI-powered address cleaning (which you could probably achieve for free with regular expressions) and Apify's bulk processing capabilities for owner information.
Hand this guide to your virtual assistant. It's written as a step-by-step SOP they can follow exactly. When your VA has downtime, they can be building your lead pipeline instead of sitting idle.
There's always sales and marketing support work to be done. This turns your VA into a more productive asset on your team.
The bottom line is that this approach saves a lot of time and allows you to bulk process skip tracing without relying on too many third-party services and databases.
I hope this is thought-provoking!
Contact Us
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Here are some of our specialties:
Automated neighborhood-targeted skiptracing, email, and SMS marketing
Automating core service business processes (quotes, bookings, follow-ups)
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Marketing automation workflows (email, ads, content)
Client onboarding workflows
Task, reminder, and pipeline automations
Check us out! https://www.csoutsource.com/why-cs-outsource/
Link to Virtual Assistant Resource Hub: https://csoutsource.notion.site/Virtual-Assistant-Resource-Library-by-CS-Outsource-4fd480e31bc443db957e85efafaf4e9c?source=copy_link
This is great! I haven't tried it yet, but ChatGPT agents with the Google Drive integration might be able to monitor a Sheet where you input the scraped data and then extract the same info. That wouldn't include the skip tracing step, though ... Any idea how you might accomplish that?