This workflow automates the process of monitoring the real estate industry for emerging pain points and market signals using AI and web scraping. It is designed to run daily, scraping top Google search results about real estate queries via Apify, then summarizing the findings and extracting the top three pain points using OpenAI’s GPT-4o model. It compares current pain points with previous data stored in Airtable to identify new trends or recurring issues, providing stakeholders with timely updates via Telegram notifications. The insights are also logged in Airtable for long-term analysis, enabling real estate professionals, proptech startups, and sales teams to stay ahead of market trends without manual effort. This workflow offers a comprehensive automated solution for market intelligence and trend detection.

Node Count	11 – 20 Nodes
Nodes Used	@n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmChatOpenAi, airtable, code, httpRequest, scheduleTrigger, stickyNote, telegram