Automated Lead Scoring with MLS Data
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This n8n workflow automates lead scoring using MLS data. It leverages Webhook, Splitter, Embeddings, Vector Stores (Pinecone), and an Agent to process and score leads efficiently.
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About This Workflow
Overview
This n8n workflow is designed to automate the process of scoring leads by integrating with Multiple Listing Service (MLS) data. It solves the problem of manual, time-consuming lead qualification by creating an intelligent, automated system. The workflow starts by receiving lead data via a Webhook, then processes this data using Langchain nodes for text splitting and generating embeddings. This enriched data is stored in a Pinecone vector database. Subsequent queries to this database, combined with memory and a language model agent, allow for dynamic lead scoring and decision-making. Finally, the results are logged to a Google Sheet.
Key Features
- Real-time lead data ingestion via Webhook.
- Advanced text processing and embedding generation using Langchain.
- Efficient data storage and retrieval with Pinecone vector database.
- Intelligent lead scoring and decision-making powered by an Agent.
- Seamless integration with Google Sheets for logging.
How To Use
- Configure the 'Webhook' node to receive incoming lead data.
- Set up the 'Splitter' and 'Embeddings' nodes with appropriate parameters for text processing.
- Connect to your Pinecone vector database by configuring the 'Insert' and 'Query' nodes with your index name and credentials.
- Configure the 'Chat' and 'Memory' nodes for conversational AI capabilities.
- Define the 'Agent' node's logic to process queries and score leads.
- Set up the 'Sheet' node to log the scoring results to your Google Sheet.
Apps Used
Workflow JSON
{
"id": "afdd3263-9c8f-4dae-b7a7-650798b77242",
"name": "Automated Lead Scoring with MLS Data",
"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: afdd3263-9c8f...
About the Author
DevOps_Master_X
Infrastructure Expert
Specializing in CI/CD pipelines, Docker, and Kubernetes automations.
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