This n8n workflow is designed to automate the monitoring and analysis of commercial real estate (CRE) market data, providing daily insights and alerts. It begins with a scheduled trigger that runs every 24 hours to initiate the data collection process. The workflow uses AI-powered web scraping to extract detailed property listings from platforms like LoopNet, gathering key data points such as property type, size, location, pricing, and lease rates.

The collected data is then processed through a comprehensive analysis engine that summarizes market conditions, identifies opportunities like below-market lease rates, and detects market anomalies. This analysis produces a dashboard with KPIs, top property types, locations, and prioritized opportunities.

Using decision logic, the workflow evaluates whether actionable opportunities exist. If so, it sends instant notifications via Telegram, alerting stakeholders with a formatted report that includes market summaries and top opportunities. All data and analysis results are logged into Google Sheets for long-term trend tracking, enabling ongoing market analysis and reporting.

This workflow is perfect for CRE investors, brokers, and portfolio managers who need real-time market insights, automated data collection, and timely alerts to optimize investment decisions and stay ahead in a competitive market.