πŸ“Š Monitor commercial real estate opportunities from LoopNet with ScrapeGraphAI & Telegram

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Description

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

πŸ”— Nodes Used

Google Sheets, HTTP Request, Telegram, Schedule Trigger

πŸ“₯ Import

Download workflow.json and import into n8n: Workflow menu β†’ Import from File

πŸ“– Importing guide Β· πŸ”‘ Credential setup