Scrape Zillow property listings by location and type in

This workflow automates the collection of real estate listings from Zillow based on user-defined location and property type (rent/sale), then saves structured data into Google Sheets. Designed for real estate professionals who need up-to-date market data without manual searches.

## Who it´s for
- Realtors tracking new property listings
- Real estate investors gathering pricing data
- Market analysts automating Zillow data collection
- Real estate agencies integrating listings into internal systems

## What the automation does
- Triggered by a form submission with location and property type
- Sends request via HTTP webhook to Bright Data API to scrape Zillow
- Retrieves structured data after scraping completes
- Extracts key fields: address, status, Zestimate, year built, price, etc.
- Saves results into a designated Google Sheet
- Supports repeated queries to accumulate data in one file

## What´s included
- Ready-to-use n8n workflow
- Trigger logic based on form_submit and http_webhook
- Integrations with Bright Data, Zillow (via API), and Google Sheets
- Basic text instructions for launch and adaptation

## Requirements for setup
- n8n account (cloud or self-hosted)
- Bright Data account with active API key
- Google account with edit access to Google Sheets
- Pre-created Google Sheet with required column structure

## Benefits and outcomes
- Saves time on manual Zillow data collection
- Centralized, structured storage of property listings
- Enables price comparison and market trend analysis
- Supports reuse across multiple locations
- Automated updates after initial setup
- Flexible search parameters (rent/sale, city, neighborhood)

## Important: template only
Important: you are purchasing a ready-made automation workflow template only. Rollout into your infrastructure, connecting specific accounts and services, 1:1 setup help, custom adjustments for non-standard stacks and any consulting support are provided as a separate paid service at an individual rate. To discuss custom work or 1:1 help, contact via в чате.