πŸ“Š Analyze real estate market sentiment with ScrapeGraphAI and Telegram

⚑ 866 views Β· πŸ“Š Market Research & Insights

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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

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

Set up steps

Setup time: 10-15 minutes

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

Technologies Used

πŸ”— Nodes Used

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