Latenode
Google sheets
Headless browser

Scrape Zillow property data and sync to Google Sheets automatically

This Latenode automation extracts real estate listing details from Zillow and automatically populates a Google Sheets spreadsheet with the property data.

It leverages the Scrape.do web scraping API to bypass anti-bot protections and fetch the full HTML of Zillow listings, then parses key information like price, address, days on Zillow, and Zestimate, and saves the structured results into a Google Sheet. This solution is designed for real estate professionals, investors, and market analysts who need to collect property data at scale without manual effort, enabling better market research, portfolio tracking, and lead generation.

Updated Apr 2, 2026Est. run: 9sEst. cost: $0.0006
How Latenode estimates time and cost

Latenode bills workflow runs in credits: 1 credit = 30 seconds of processing. Minimum charge per run depends on your plan. Plug-and-Play (PnP) AI nodes are billed separately—each PnP token is $1 USD, charged pay-as-you-go at vendor cost plus a small processing fee, with no API keys required.

Full pricing — how credits work →
Scraping & data collection

Workflow preview

What this template does

  • Extracts real estate listing details from Zillow
  • Automatically populates a Google Sheets spreadsheet with property data
  • Leverages Scrape.do web scraping API to bypass anti-bot protections
  • Fetches full HTML of Zillow listings and parses key information
  • Saves structured property data into a Google Sheets spreadsheet

How it works

1
Trigger

Read Zillow URLs from Google Sheets

The automation starts by reading a list of Zillow listing URLs from a designated Google Sheets spreadsheet.

2
Action

Scrape Zillow Listing HTML

For each Zillow URL, the automation uses the Scrape.do web scraping API to fetch the full HTML content of the listing page, bypassing any anti-bot protections on Zillow.

3
Logic

Parse Zillow Listing Data

The automation then parses the HTML content to extract key property details such as price, address, days on Zillow, and Zestimate.

4
Action

Write Results to Google Sheets

Finally, the extracted property data is written to a designated Google Sheets spreadsheet, enabling real estate professionals, investors, and market analysts to access the information for further analysis and use.

Setup guide

1

Add Google Sheets Credential

In the Latenode Credentials panel, add a Google Sheets credential by following the OAuth flow to authorize Latenode to access your Google account and Google Sheets.

2

Configure Scrape.do Credential

In the Latenode Credentials panel, add a Scrape.do credential by entering your Scrape.do API key.

3

Set up Zillow URL Input

In the Latenode builder, add a Google Sheets node and configure it to read the Zillow URLs from a specific sheet and column in your Google Sheets spreadsheet.

4

Configure Scrape.do Node

In the Latenode builder, add a Scrape.do node and configure it to fetch the full HTML of the Zillow listings using the URLs from the previous Google Sheets node.

5

Map and Save Listing Data

In the Latenode builder, add a JavaScript node to parse the Zillow HTML and extract the key property information (price, address, days on Zillow, Zestimate). Then, add a Google Sheets node to write the structured data into a new sheet in your Google Sheets spreadsheet.

Requirements

A Scrape.do account with API access to extract Zillow listing data
A Google Sheets account and spreadsheet to store the extracted property data
Latenode workspace with the 'headless-browser' and 'code' nodes to automate the scraping and data population
Zillow URL(s) for the properties you want to extract data from

FAQ

Common questions about this template

Each run uses credits on your Latenode plan. We charge for processing time (1 credit = 30 seconds). Your actual cost depends on your plan and how long the run takes. See pricing plans for plans and how credits work.
Contact support →

More templates

You might also like

Browse all templates →
Scraping & data collection

Automatically Sync Google Maps Business Data to a Spreadsheet

This automation workflow allows users to efficiently scrape business data from Google Maps, including names, contact details, and reviews, and export the structured information into a spreadsheet or database. The workflow uses the SerpAPI service to retrieve Google Maps search results, which are then transformed and appended to a Google Sheet. This enables users to generate leads, conduct market analysis, and gain valuable insights from the collected data in a cost-effective and scalable manner.

26s$0.0703
Scraping & data collection

Automatically scrape and store Booking.com hotel data

This workflow automates the search and extraction of hotel data from Booking.com, triggered by a chat message. It uses a combination of web scraping with Bright Data's Web Scraper and AI-powered data processing with OpenRouter to deliver a concise, human-friendly list of hotels, including the title, address, original price, and final price. The final output is a clean and formatted report, making it a valuable tool for travelers, event planners, and business professionals who need to quickly find accommodation.

26s$0.0703
Scraping & data collection

Scrape and sync Instagram profiles to Google Sheets

This automation template allows users to scrape comprehensive data from Instagram profiles and export the results into a Google Sheets spreadsheet for analysis. It utilizes the Apify web scraping tool to fetch the full profile details for a list of usernames, which are stored in a Google Sheet. The workflow runs on a scheduled basis, retrieving the unscrapped usernames, processing them in batches, and appending the scraped data to the Google Sheet. This streamlines the data collection process, enabling users to easily analyze and gain insights from their Instagram audience.

26s$0.0703