Monitor commercial real estate opportunities from LoopNet with ScrapeGraphAI & Telegram
Ready for 3.0Ready for 3.0. This template uses no nodes that n8n 3.0 removes. No removed nodes, versions or helpers found. Static check, last run 2026-10-19.
Nodes used (6)
- Schedule Trigger
n8n-nodes-base.scheduleTrigger - HTTP Request
n8n-nodes-base.httpRequest - Code
n8n-nodes-base.code - If
n8n-nodes-base.if - Telegram
n8n-nodes-base.telegram - Google Sheets
n8n-nodes-base.googleSheets
What it does
How it works This workflow automatically scrapes commercial real estate listings from LoopNet and sends opportunity alerts to Telegram while logging data to Google Sheets. Key Steps 1. Scheduled Trigger - Runs every 24 hours to collect fresh CRE market data 2. AI-Powered Scraping - Uses ScrapeGraphAI to extract property information from LoopNet 3. Market Analysis - Analyzes listings for opportunities and generates market insights 4. Smart Notifications - Sends Telegram alerts only when investment opportunities are found 5. Data Logging - Stores daily market metrics in Google Sheets for trend analysis Set up steps Setup time: 10-15 minutes 1. Configure ScrapeGraphAI credentials - Add your ScrapeGraphAI API key for web scraping 2. Set up Telegram connection - Connect your Telegram bot and specify the target channel 3. Configure Google Sheets - Set up Google Sheets integration for data logging 4. Customize the LoopNet URL - Update the URL to target specific CRE markets or property types 5. Adjust schedule - Modify the trigger timing based on your market monitoring needs Keep detailed configuration notes in sticky notes inside your workflow