This n8n workflow automates the process of capturing, analyzing, and qualifying real estate leads submitted via an online form. When a prospect fills out the property inquiry form, the workflow triggers, extracting key details such as name, email, budget, location, timeline, and property type. An AI model (OpenAI’s GPT-4) then processes this data to classify lead quality, parse budgets numerically, assess urgency, and generate a lead score from 0 to 100. Depending on the score, the workflow marks leads as qualified or not, and subsequently sends email notifications for qualified leads. It also logs lead information into Airtable for CRM purposes and includes internal notes about the workflow’s purpose and scope. This process enables real estate professionals to prioritize high-quality leads automatically, saving time and increasing conversions, especially for small agencies or solo agents handling numerous inquiries. Practical applications include lead management, automated scoring, and follow-up prioritization, optimized for real estate lead workflows.
AI Agent Leads Processor
Node Count | 11 – 20 Nodes |
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Nodes Used | @n8n/n8n-nodes-langchain.informationExtractor, @n8n/n8n-nodes-langchain.lmChatOpenAi, airtable, formTrigger, gmail, if, set, stickyNote |
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