The Real Estate Intelligence Tracker is a powerful automated workflow designed for real estate analysts, investors, proptech startups, and market researchers who need to collect and analyze structured data from real estate listings across the web at scale.
This workflow is tailored for:
Real Estate Analysts - Tracking property prices, locations, and market trends
Investment Firms - Sourcing high-opportunity listings for portfolio decisions
PropTech Developers - Automating listing insights for SaaS platforms
Market Researchers - Extracting insights from competitive housing data
Growth Teams - Monitoring geographic property trends and pricing fluctuations
Collecting structured real estate listing data from property websites is difficult due to bot protections and unstructured HTML content. Manual data collection is slow and error-prone, and traditional scrapers often get blocked or miss context.
This workflow solves:
Automated bypass of anti-bot protection using Bright Data Web Unlocker
Conversion of unstructured HTML content into clean text using a Markdown-to-text LLM pipeline
Structured extraction of key listing data like price, location, property type, and features using OpenAI
Aggregation and delivery of insights to Google Sheets, local storage, and webhook-based alerts
Convert to Text: Transforms scraped HTML/markdown into clean text using a Basic LLM Chain
Structured Data Extraction: Uses OpenAI GPT-4o with the Information Extractor node to parse property attributes (price, address, area, type, etc.)
Aggregate & Merge: Combines data from multiple pages or listings into a cohesive structure
Outbound Data Handling:
Google Sheets – Appends the structured real estate data for further analysis
Save to Disk – Persists structured JSON/text data locally
Webhook Notification – Sends data alerts or summaries to any third-party platform
Target Multiple Sites or Locations
Update the Bright Data URL node dynamically with a list of regional real estate websites
Loop through different city/state filter URLs
Customize Extracted Fields
Modify the Information Extractor prompt to extract fields like:
Property size, number of bedrooms/bathrooms
Days on market
Nearby amenities or schools
Agent contact details
Integrate with More Destinations
Add nodes to export data to Notion, Airtable, HubSpot, or your custom database
Generate automated reports using PDF generators and email them
Data Quality and Logging
Add validation checks (e.g., missing price or address)
Save intermediate files (markdown, raw HTML, JSON output) to disk for audit purposes