🏠 Find your home with Real Estate Agent and Bright Data


📝 Overview This workflow transforms n8n into a smart real-estate concierge by combining an AI chat interface with [Bright Data](https://get.brightdata.com/ar8wlq0xkpv5)’s marketplace datasets. Users interact via chat to specify city, price, bedrooms, and bathrooms—and receive a curated list of three homes for sale, complete with images and briefings.

🎥 Workflow in Action Want to see this workflow in action? Play the [video](https://public.n8nhackers.com/videos/real-estate-agent.webm)

🔑 Key Features

AI-Powered Chat Trigger: Instantly start conversations using LangChain’s Chat Trigger node. Contextual Memory: Retain up to 30 recent messages for coherent back-and-forth. Bright Data Integration: Dynamically filter “FOR\SALE” properties by city, price, bedrooms, and bathrooms (limit = 3). Automated Snapshot Retrieval: Poll for dataset readiness and fetch full snapshot content. HTML-Formatted Output: Present results as a <ul of <li items, embedding property images.

🚀 How It Works (Step-by-Step)

1. Prerequisites:

n8n ≥ v1.0 Community nodes: install n8n-nodes-brightdata (the unverified community node) API credentials: OpenAI, Bright Data Webhook endpoint to receive chat messages