This n8n workflow automates a comprehensive property and investment analysis process using multiple AI agents and data sources. Triggered manually, it initiates data collection, analysis, and reporting for real estate or investment opportunities. The process starts with a manual trigger, which activates ‘The Data Researcher’ node to gather data via SerpApi, an API for search engine results. The collected data is then processed and aggregated in a code node, ensuring relevant insights are compiled. ‘The Market Analyst’ uses OpenAI’s language models to analyze market trends based on the aggregated data. Next, ‘The Report Generator’ synthesizes the analysis into a detailed report using AI. This report is then created in a Google Doc, and key insights are stored in an Airtable database for record-keeping. Finally, the report is emailed directly to the client via Gmail. Additional sticky notes nodes are included for process documentation or annotations. This workflow streamlines real estate and investment decision-making by integrating AI-powered research, analysis, and reporting into a single automated pipeline, ideal for real estate agents, investors, or financial analysts looking to save time and improve data-driven decisions.
AI-Powered Property & Investment Analysis Workflow
Node Count | 11 – 20 Nodes |
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Nodes Used | @n8n/n8n-nodes-langchain.openAi, airtable, code, gmail, googleDocs, manualTrigger, n8n-nodes-serpapi.serpApi, stickyNote |
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