Automate Real Estate Rental Price Estimation with n8n
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This workflow leverages LangChain nodes to create an automated rental price estimator. It utilizes webhooks for input, text splitting, embeddings, and Supabase vector storage for intelligent querying, ultimately providing estimated rental prices.
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About This Workflow
Overview
This n8n workflow automates the estimation of rental prices for real estate properties. It's designed to ingest new rental listing data, process it, and use it to inform future price estimations. The core logic involves receiving data via a Webhook, splitting it into manageable chunks, generating embeddings, and storing these in a Supabase vector database. When a query for rental prices is made, it retrieves relevant information from the vector store, uses an Anthropic language model for intelligent processing, and logs the outcome to a Google Sheet. This workflow solves the problem of manually gathering and analyzing rental market data, providing a more efficient and scalable solution for real estate professionals.
Key Features
- Real-time data ingestion via Webhook.
- Efficient text processing with LangChain's Text Splitter.
- Vector embeddings generation using Cohere.
- Secure data storage and retrieval with Supabase Vector Store.
- Intelligent response generation with Anthropic's language model.
- Automated logging of estimations to Google Sheets.
How To Use
- Set up the 'Webhook' node to receive incoming rental listing data.
- Configure the 'Splitter' node to segment the input text.
- Connect 'Embeddings' and 'Insert' nodes to process and store data in Supabase.
- Set up the 'Query' node to retrieve similar listings from Supabase.
- Integrate the 'Tool', 'Memory', and 'Chat' nodes for intelligent data interpretation.
- Configure the 'Agent' node to orchestrate the AI model's response.
- Connect the 'Sheet' node to log estimation results to a Google Sheet.
Apps Used
Workflow JSON
{
"id": "1d7e7c4a-d926-470d-b2ac-64f4e5c05ce4",
"name": "Automate Real Estate Rental Price Estimation with n8n",
"nodes": 0,
"category": "Real Estate Automation",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
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ID: 1d7e7c4a-d926...
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Crypto_Watcher
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Automated trading bots and blockchain monitoring workflows.
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