WhatsApp support assistant with GPT-4 Mini & Google Sheets data training

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Important notice

This workflow is provided as-is. Please review and test before using in production.

1. Workflow Overview

WhatsApp AI HelpDesk – Smart SupportBot Using Trained Data & WasenderAPI Overview This n8n workflow enables automated AI driven support replies via your personal WhatsApp number using WasenderAPI.c...

Best for

Support Chatbot automation workflows
AI Chatbot automation workflows
intermediate n8n builders looking for reusable templates

Tools used

@n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmchatopenai, @n8n/n8n-nodes-langchain.memorybufferwindow, n8n-nodes-base.googlesheetstool, n8n-nodes-base.webhook, n8n-nodes-base.code, n8n-nodes-base.httprequest, n8n-nodes-base.stickynote

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by SpaGreen Creative.

Original n8n.io source

1.1 Workflow description

Title: WhatsApp support assistant with GPT-4 Mini & Google Sheets data training
Workflow name: WhatsApp support assistant with GPT-4 Mini & Google Sheets data training

WhatsApp AI HelpDesk – Smart SupportBot Using Trained Data & WasenderAPI

Overview

This n8n workflow enables automated AI-driven support replies via your personal WhatsApp number using WasenderAPI.com. The bot intelligently responds to user messages based on trained data stored in Google Sheets, helping you avoid the high cost of WhatsApp Business API.

What It Does

Reads real-time data from a connected Google Sheet
Sends AI-generated responses based on predefined training data
Automatically applies rate limits to avoid account blocking
Updates each contact's support status after responding

Who’s It For

This workflow is ideal for:

Freelancers and small businesses offering support through WhatsApp
Customer service teams seeking to automate common queries
Entrepreneurs looking to deploy a cost-effective support assistant
SaaS founders managing WhatsApp inquiries without expensive API costs

Prerequisites

Make sure the following components are ready:

An active WhatsApp account (Personal or Business)
WasenderAPI subscription (around $6/month)
OpenAI API access (around $20/month)
n8n instance (self-hosted or cloud)
Google Sheets API connected to n8n
A training sheet like this sample:
https://docs.google.com/spreadsheets/d/1Ui4TzzI-Gq-bsEsrZELwW1Kyddw0IU9L1wxlHikktqw/edit?usp=sharing

Setup Instructions

1. Connect WasenderAPI

Add your WhatsApp session to WasenderAPI
In n8n, create a Webhook node
Copy the webhook URL and paste it into your WasenderAPI session settings

2. Connect OpenAI

Add an OpenAI node in n8n
Authenticate using your OpenAI credentials
Configure the prompt to reference the data from your Google Sheet

3. Connect Google Sheets

Add a Google Sheets node
Authenticate using your Google account
Select the appropriate Spreadsheet and Worksheet
Format your sheet similarly to the sample template above

How to Customize the Workflow

To tailor the workflow to your business needs:

Update the training data in your Google Sheet to include your own FAQs, product info, or customer scripts
Adjust prompt instructions in the OpenAI node to change the tone, style, or behavior of the response
Add filtering logic using IF or SWITCH nodes to categorize and route different types of messages
Integrate CRM or ticketing systems via additional HTTP or database nodes
Set custom response delay or batching using WAIT or LIMIT nodes to control the load

Support & Community

Need help setting up or customizing the workflow? Reach out here:

WhatsApp: Chat with Support
Discord: Join SpaGreen Server
Facebook Group: SpaGreen Community
Website: SpaGreen Creative
Envato: SpaGreen Portfolio

1.2 Logical Blocks

This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.

2. Block-by-Block Analysis

Block 1 - AI Agent - Customer Support Agent

Type / Role: @n8n/n8n-nodes-langchain.agent - agent
Config choices: Version 1.7

Block 2 - OpenAI Model1

Type / Role: @n8n/n8n-nodes-langchain.lmChatOpenAi - lmChatOpenAi
Config choices: Version 1.2

Block 3 - Conversation Memory

Type / Role: @n8n/n8n-nodes-langchain.memoryBufferWindow - memoryBufferWindow
Config choices: Version 1.3

Block 4 - Log Customer Issues

Type / Role: n8n-nodes-base.googleSheetsTool - googleSheetsTool
Config choices: Version 4.5

Block 5 - Webhook

Type / Role: n8n-nodes-base.webhook - webhook
Config choices: Version 2

Block 6 - Code

Type / Role: n8n-nodes-base.code - code
Config choices: Version 2

Block 7 - Send Message Using HTTP Request

Type / Role: n8n-nodes-base.httpRequest - httpRequest
Config choices: Version 4.2

Block 8 - Read Company Basic Information

Type / Role: n8n-nodes-base.googleSheetsTool - googleSheetsTool
Config choices: Version 4.5

Block 9 - Read Product Sheet

Type / Role: n8n-nodes-base.googleSheetsTool - googleSheetsTool
Config choices: Version 4.5

Block 10 - Read Service Sheet

Type / Role: n8n-nodes-base.googleSheetsTool - googleSheetsTool
Config choices: Version 4.5

Block 11 - Sticky Note1

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

3. Summary Table

Workflow	WhatsApp support assistant with GPT-4 Mini & Google Sheets data training
Complexity	intermediate
Nodes	11
Categories	Support Chatbot, AI Chatbot
Author	SpaGreen Creative
Published	25 Jul 2025

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/6452/6452.json as the source template for this automation.
2. Import the template into n8n

Open n8n, import the downloaded JSON, and review each node before activating the workflow.
3. Configure credentials and variables

Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
4. Test with sample data

Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
5. Activate and monitor

Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.

Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.

Download workflow JSON Original n8n.io source Support Chatbot workflows AI Chatbot workflows

Frequently asked questions

What does WhatsApp support assistant with GPT-4 Mini & Google Sheets data training do?

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Support Chatbot, AI Chatbot use case.

SpaGreen Creative

60 workflows

Nodes

@n8n/n8n-nodes-langchain.agent @n8n/n8n-nodes-langchain.lmchatopenai @n8n/n8n-nodes-langchain.memorybufferwindow n8n-nodes-base.googlesheetstool n8n-nodes-base.webhook n8n-nodes-base.code n8n-nodes-base.httprequest n8n-nodes-base.stickynote

Complexity

intermediate

Published 25 Jul 2025

Likes 0

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Install path: /data/workflows/6452/6452.json

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WhatsApp support assistant with GPT-4 Mini & Google Sheets data training

Workflow preview

Important notice

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

WhatsApp AI HelpDesk – Smart SupportBot Using Trained Data & WasenderAPI

Overview

What It Does

Who’s It For

Prerequisites

Setup Instructions

1. Connect WasenderAPI

2. Connect OpenAI

3. Connect Google Sheets

How to Customize the Workflow

Support & Community

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - AI Agent - Customer Support Agent

Block 2 - OpenAI Model1

Block 3 - Conversation Memory

Block 4 - Log Customer Issues

Block 5 - Webhook

Block 6 - Code

Block 7 - Send Message Using HTTP Request

Block 8 - Read Company Basic Information

Block 9 - Read Product Sheet

Block 10 - Read Service Sheet

Block 11 - Sticky Note1

3. Summary Table

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

2. Import the template into n8n

3. Configure credentials and variables

4. Test with sample data

5. Activate and monitor

5. General Notes & Resources

Frequently asked questions