Automated Real Estate Market Sentiment & Investment Insights

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This n8n workflow provides a comprehensive system for monitoring and analyzing the real estate market by collecting real-time data from forums and news sources, analyzing sentiment, predicting market trends, and generating actionable investment alerts. Scheduled to run daily, it begins with a trigger that initiates data scraping using dedicated nodes for real estate forums and news sites. These nodes extract discussions and articles about the current market conditions. The collected data is then processed through a sentiment analysis node, which evaluates the overall market sentiment as bullish, bearish, or neutral based on keyword analysis and pattern recognition.

Following sentiment evaluation, a market prediction node transforms the sentiment scores into actionable forecasts such as ‘strong buy,’ ‘hold,’ or ‘sell,’ complete with confidence levels and investment recommendations. The next step involves timing optimization, where the workflow assesses the best moments to enter or exit the market by considering seasonal factors, recent market signals, and historical data.

An investment advisor alert node synthesizes all analysis into a comprehensive report highlighting key insights, risks, and suggested actions. This alert is then formatted into a professional message and dispatched instantly via Telegram, ensuring users receive timely notifications about market opportunities or warnings. Additional visual notes and reminders throughout the workflow help maintain clarity on each step’s purpose.

This automated system is particularly useful for real estate investors, portfolio managers, and analysts seeking to stay ahead of market trends with minimal manual effort. It facilitates proactive decision-making by delivering continuous, data-driven insights and alerts, enabling users to capitalize on market movements efficiently.

Node Count

11 – 20 Nodes

Nodes Used

code, n8n-nodes-scrapegraphai.scrapegraphAi, scheduleTrigger, stickyNote, telegram

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