AI real estate search via chat with filters and images

This automation template enables fast and accurate real estate search based on user requests delivered through a chat interface. Using AI (LangChain + OpenAI), it interprets natural language queries, triggers property search via BrightData, and returns structured listings with images.

## Who it´s for
- Homebuyers looking for properties via chat
- Real estate agents automating client property matching
- Real estate companies deploying AI assistants

## What the automation does
- User sends a query (e.g., "house in NYC for $1M with 4 bedrooms")
- LangChain-based AI agent parses the request, extracts filters, and maintains conversation context
- Triggers a property search via BrightData API using defined criteria
- Waits for data readiness after receiving snapshot_id
- Retrieves details for up to three matching properties: address, price, bedrooms, bathrooms, images
- Formats and sends the result back to the chat as a structured response

## What´s included
- Ready-to-use n8n workflow
- Trigger and message handler logic
- Integrations with BrightData, OpenAI, and Chat Interface
- Basic setup and adaptation guide

## Requirements for setup
- n8n account (cloud or self-hosted)
- BrightData API key
- OpenAI API key
- Configured chat interface (Telegram, web chat, etc.)

## Benefits and outcomes
- Reduces property search time to seconds
- Handles follow-up questions with memory buffer context retention
- Returns up-to-date listings with images automatically
- Scalable: one agent can serve multiple users simultaneously
- Can be embedded into existing chatbots or platforms

## Important: template only
Important: you are purchasing a ready-made automation workflow template only. Rollout into your infrastructure, connecting specific accounts and services, 1:1 setup help, custom adjustments for non-standard stacks and any consulting support are provided as a separate paid service at an individual rate. To discuss custom work or 1:1 help, contact via Telegram: @gleb923.