Qualify real estate WhatsApp leads with Groq, Google Sheets, and Twilio
Needs changesWhat this workflow does
This AI workflow has 32 nodes and runs when an HTTP POST request hits its webhook URL (plus 1 other trigger). Along the way it connects Google Sheets, Twilio and Groq Chat Model.
How it runs
Trigger: When an HTTP POST request hits its webhook URL (plus 1 other trigger).
- Respond OK (Respond to Webhook): sends the response back to the webhook caller
- Save to Sheets (Google Sheets): append
- Find Inactives (Google Sheets): uses Google Sheets
- Send Greeting (Twilio): work with message
- Reengage WhatsApp (Twilio): work with message
- AI Agent: runs an AI agent, with model: Groq Model; memory: Conv Memory
- Extract Reply (Code): runs custom JavaScript code
- If: checks a condition and branches into true / false
- Update Lead (Google Sheets): update
- Send AI Reply (Twilio): uses Twilio
…plus 18 more steps. See the full node list below.
Services it uses
Before you upgrade to n8n 3.0
1 thing in this workflow is removed in n8n 3.0. Fix it before you upgrade:
- AI Agent v1 (old agent modes) in AI Agent (v1): replace with Latest AI Agent node (Tools Agent). For SQL Agent, use a Postgres or MySQL tool with a recent AI Agent.
Rather not rewrite it? Many of these flows can be rebuilt in Make (free plan).
| Removed in 3.0 | Replace with |
|---|---|
| AI Agent v1 (old agent modes) AI Agent (v1) | Latest AI Agent node (Tools Agent). For SQL Agent, use a Postgres or MySQL tool with a recent AI Agent. |
Nodes used (12)
- Respond to Webhook
n8n-nodes-base.respondToWebhook - Google Sheets
n8n-nodes-base.googleSheets - Twilio
n8n-nodes-base.twilio - AI Agent
@n8n/n8n-nodes-langchain.agent - Groq Chat Model
@n8n/n8n-nodes-langchain.lmChatGroq - Simple Memory
@n8n/n8n-nodes-langchain.memoryBufferWindow - Code
n8n-nodes-base.code - If
n8n-nodes-base.if - Wait
n8n-nodes-base.wait - Schedule Trigger
n8n-nodes-base.scheduleTrigger - Switch
n8n-nodes-base.switch - Webhook
n8n-nodes-base.webhook
From the author
Quick Overview This workflow captures real estate leads from a Lovable webhook, stores them in Google Sheets, qualifies them via a Groq-powered AI agent, and uses Twilio WhatsApp messaging to route HOT/WARM/COLD leads into agent assignment, property matching,…