Automated Real Estate Market Pain Point Tracking with AI and Telegram Alerts

Overview

This workflow automates the tracking of real estate market pain points by integrating web scraping, AI-powered analysis, and instant notifications. It leverages Apify for data extraction, GPT-4o for summarization, and Telegram for real-time alerts.

Key Features

• Scheduled Data Collection: Initiates daily with a schedule trigger to ensure up-to-date market insights.
• Web Scraping: Uses Apify to gather real estate market data from targeted sources.
• AI Analysis: Employs GPT-4o via LangChain nodes to summarize and extract key pain points from the collected data.
• Historical Comparison: Compares current pain points with previous data stored in Airtable to identify new or recurring issues.
• Automated Notifications: Sends instant Telegram alerts to stakeholders when significant changes or new pain points are detected.
• Data Storage: Archives pain point summaries and analysis results in Airtable for future reference and trend analysis.

Benefits

• Timely Insights: Enables proactive response to emerging market challenges.
• Reduced Manual Effort: Automates repetitive data collection and analysis tasks, saving valuable time.
• Enhanced Decision-Making: Delivers actionable intelligence directly to decision-makers via Telegram.

Use Cases

• Real estate agencies monitoring market sentiment.
• Analysts tracking evolving buyer or seller concerns.
• Marketing teams identifying trends for targeted campaigns.