This n8n workflow automates the process of gathering and analyzing real estate data to assist in property evaluation and lead generation for real estate professionals. It begins with a form submission trigger, which initiates a series of data retrieval, analysis, and decision-making steps. Once triggered, the workflow fetches property data from Zillow and RentZestimate, analyzes market trends, and prepares tailored scripts for outreach. The process integrates OpenAI’s language model for summarizing market conditions and generating call scripts, which can be stored and referenced in Airtable. The workflow also includes workflows for property criteria evaluation and market summary analysis, making it a comprehensive automation tool for real estate agents focused on FSBO (For Sale By Owner) properties. Practical applications include lead qualification, market analysis, and automating outreach scripts, significantly saving time and improving accuracy in property assessments and client engagement.
Automated Real Estate Data Processing Workflow
Node Count | 11 – 20 Nodes |
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Nodes Used | @n8n/n8n-nodes-langchain.chainSummarization, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.openAi, airtable, code, executeWorkflow, executeWorkflowTrigger, formTrigger, httpRequest, set, splitOut, stickyNote |
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