Analyze Real Estate Market Sentiment with ScrapeGraphAI and Telegram

Description

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