Analyze Real Estate Market Sentiment with ScrapeGraphAI and Telegram

How it works

This workflow automatically analyzes real estate market sentiment by scraping investment forums and news sources, then provides AI-powered market predictions and investment recommendations.

Key Steps

Scheduled Trigger - Runs on a cron schedule to regularly monitor market sentiment. Multi-Source Scraping - Uses ScrapeGraphAI to extract discussions from BiggerPockets forums and real estate news articles. Sentiment Analysis - JavaScript nodes analyze text content for bullish/bearish keywords and calculate sentiment scores. Market Prediction - Generates investment recommendations (buy/sell/hold) based on sentiment analysis with confidence levels. Timing Optimization - Provides optimal timing recommendations considering seasonal factors and market urgency. Investment Advisor Alerts - Formats comprehensive reports with actionable investment advice. Telegram Notifications - Sends formatted alerts directly to your Telegram channel for instant access.

Set up steps

Setup time: 10-15 minutes

Configure ScrapeGraphAI credentials - Add your ScrapeGraphAI API key for web scraping. Set up Telegram bot - Create a bot via @BotFather and add your bot token and chat ID. Customize data sources - Update the URLs to target specific real estate forums or news sources. Adjust schedule frequency - Modify the cron expression based on how often you want sentiment updates. Test sentiment analysis - Run manually first to ensure the analysis logic works for your market. Configure alert preferences - Customize the alert formatting and priority levels as needed.

Technologies Used

ScrapeGraphAI** - For extracting structured data from real estate forums and news sites JavaScript Code Nodes** - For sentiment analysis, market prediction, and timing optimization Schedule Trigger** - For automated execution using cron expressions Telegram Integration** - For instant mobile notifications and team alerts JSON Data Processing** - For structured sentiment analysis and market intelligence