🏠 Find your Home with Real Estate Agent and Bright Data

Description

📝 Overview
This workflow transforms n8n into a smart real-estate concierge by combining an AI chat interface with Bright Data’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


🔑 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 ` of ` items, embedding property images.

🚀 How It Works (Step-by-Step)

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

Node Configuration:

Chat Trigger: Listens for incoming chat messages; shows a welcome screen.
Memory Buffer: Stores the last 30 messages for context.
OpenAI Chat Model: Uses GPT-4o-mini to interpret user intent.
Real Estate AI Agent: Orchestrates filtering logic, calls tools, and formats responses.
Bright Data “Filter Dataset” Tool: Applies user-defined filters plus homeStatus = FOR_SALE.
Wait & Recover Snapshot: Polls until snapshot is ready, then fetches content.
Get Snapshot Content: Converts raw JSON into a structured list.

Workflow Logic:

User sends search criteria → Agent validates inputs.
Agent invokes “Filter Dataset” once all filters are present.
Upon dataset readiness, the snapshot is retrieved and parsed.
Final output rendered as a bullet list with property images.

Testing & Optimization:

Use the built-in Execute Workflow trigger for rapid dry runs.
Inspect node outputs in n8n’s UI; adjust filter defaults or snapshot limits.
Tune OpenAI model parameters (e.g., maxIterations) for faster responses.

Deployment & Monitoring:

Activate the main workflow and expose its webhook URL.
Monitor executions in the “Executions” panel; set up alerts for errors.
Archive or duplicate workflows as needed; update credentials via credential manager.

✅ Pre-requisites

Bright Data Account:** API key for marketplaceDataset.
OpenAI Account:** Access to GPT-4o-mini model.
n8n Version:** v1.0 or later with community node support.
Permissions:** Webhook access, credential vault read/write.

👤 Who Is This For?

Real-estate agencies and brokers seeking to automate client queries.
PropTech startups building conversational search tools.
Data analysts who want on-demand property snapshots without manual scraping.

📈 Benefits & Use Cases

Time Savings:** Replace manual MLS searches with an AI-driven chat.
Scalability:** Serve multiple clients simultaneously via webchat or embedded widget.
Consistency:** Always report exactly three properties, ensuring concise results.
Engagement:** Visual listings with images boost user satisfaction and conversion.


Workflow created and verified by Miquel Colomer https://www.linkedin.com/in/miquelcolomersalas/ and N8nHackers https://n8nhackers.com