AI-powered WhatsApp chatbot with Venom Bot & Google Gemini (no official API)

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Important notice

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

1. Workflow Overview

Get Started Creator: @obisdev This workflow powers a fully automated WhatsApp chatbot using a self hosted Venom Bot instead of the official WhatsApp Business API. It integrates Google Gemini AI to ...

Best for

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

Tools used

n8n-nodes-base.code, n8n-nodes-base.googledocs, n8n-nodes-base.httprequest, n8n-nodes-base.respondtowebhook, n8n-nodes-base.if, @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmchatgooglegemini, n8n-nodes-base.webhook

Source and attribution

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

Original n8n.io source

1.1 Workflow description

Title: AI-powered WhatsApp chatbot with Venom Bot & Google Gemini (no official API)
Workflow name: AI-powered WhatsApp chatbot with Venom Bot & Google Gemini (no official API)

**Get Started **

Creator: @obisdev

This workflow powers a fully automated WhatsApp chatbot using a self-hosted Venom Bot instead of the official WhatsApp Business API. It integrates Google Gemini AI to generate intelligent, conversational responses and optionally pulls factual information from a Google Docs-based knowledge base. Designed for small businesses and creators, the bot can maintain contextual memory across messages and act as a smart virtual assistant for sales, support, and lead generation.

Overview

This n8n workflow connects with a custom-hosted Venom Bot that simulates WhatsApp Web to send and receive messages. It uses a Webhook trigger to receive incoming messages, processes them with an AI Agent powered by Gemini, optionally pulls extra data from a Google Doc or Google Sheet, and sends a smart reply back through the Venom Bot. The workflow also includes a memory system to retain user context, making it capable of handling follow-up questions and dynamic conversations.

Who this workflow is for

Small Business Owners: Offer 24/7 customer service on WhatsApp without paying for Meta’s Business API.

Freelancers & Developers: Build, test, and monetize intelligent bots without the approval process of WhatsApp’s API.

Online Sellers & Creators: Handle FAQs, orders, and customer inquiries via WhatsApp on autopilot.

Marketers: Deploy campaign bots that respond to DMs with personalized product suggestions or lead captures.

Hackers & Builders: Experiment with unofficial APIs to control WhatsApp reliably without breaking TOS for small-scale use.

Tools Used n8n: The automation platform managing flow, context, and decision logic.

Venom Bot: A Node.js-based, self-hosted WhatsApp Web bot used to send/receive messages.

Google Gemini: AI engine for generating context-aware replies.

Google Docs (Optional): Acts as a structured knowledge base for business info or FAQs.

Google Sheets (Optional): Feeds real-time or structured data into your AI responses.

How to Install

Import the Workflow: Download the .json and import it into your n8n instance.

Set Up Venom Bot: Deploy Venom Bot (on VPS or local) and set it to send messages to your Webhook URL.

Webhook Configuration: Update the Webhook node in n8n and set 'Respond' to "Using Respond to Webhook Node".

Connect Google Gemini: Add your Gemini API key in n8n credentials.

Set Up Google Docs (Optional): Link the document containing your knowledge base.

Enable Conversational Memory: Use ={{ $("Process Message").first().json.from }} as the session ID.

Check API Key Matching: Ensure the API_SECRET_KEY in Venom .env matches the authorization header in n8n.

Customize Persona & Prompts: Update the AI Agent system message to fit your brand tone.

Use Cases Customer service without WhatsApp Business API

Smart lead generation bots

E-commerce order responders

AI-powered chatbot for DMs

FAQ responder with knowledge base support

Connect with Me Email: [email protected] Twitter/X: @obisdev GitHub: github.com/obisdev Visit: obisdev.vercel.app

#n8n #whatsappautomation #venombot #chatbots #noapi #geminiapi #googleworkspace #aiassistant #nocode #vpsautomation #chatbotwithoutapi #automationtools #customerbot #salesautomation #googleintegration

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 - Process Message

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

Block 2 - Get Knowledge Base

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

Block 3 - Extract Knowledge

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

Block 4 - Format Response

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

Block 5 - Send to WhatsApp

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

Block 6 - Webhook Response

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

Block 7 - Check for Errors

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

Block 8 - Send Error Response

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

Block 9 - Error Webhook Response

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

Block 10 - AI Agent

Type / Role: @n8n/n8n-nodes-langchain.agent - agent
Config choices: Version 2

Block 11 - Google Gemini Chat Model

Type / Role: @n8n/n8n-nodes-langchain.lmChatGoogleGemini - lmChatGoogleGemini
Config choices: Version 1

Block 12 - Webhook

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

Block 13 - Simple Memory

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

Block 14 - Sticky Note

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

Block 15 - Sticky Note1

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

Block 16 - Sticky Note2

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

Block 17 - Sticky Note3

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

Block 18 - Sticky Note4

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

Block 19 - Sticky Note5

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

3. Summary Table

Workflow	AI-powered WhatsApp chatbot with Venom Bot & Google Gemini (no official API)
Complexity	advanced
Nodes	19
Categories	Support Chatbot, AI Chatbot
Author	ObisDev
Published	07 Jul 2025

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/5736/5736.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 AI-powered WhatsApp chatbot with Venom Bot & Google Gemini (no official API) 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.

ObisDev

3 workflows

Nodes

n8n-nodes-base.code n8n-nodes-base.googledocs n8n-nodes-base.httprequest n8n-nodes-base.respondtowebhook n8n-nodes-base.if @n8n/n8n-nodes-langchain.agent @n8n/n8n-nodes-langchain.lmchatgooglegemini n8n-nodes-base.webhook

Complexity

advanced

Published 07 Jul 2025

Likes 0

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Install path: /data/workflows/5736/5736.json

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AI-powered WhatsApp chatbot with Venom Bot & Google Gemini (no official API)

Workflow preview

Important notice

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - Process Message

Block 2 - Get Knowledge Base

Block 3 - Extract Knowledge

Block 4 - Format Response

Block 5 - Send to WhatsApp

Block 6 - Webhook Response

Block 7 - Check for Errors

Block 8 - Send Error Response

Block 9 - Error Webhook Response

Block 10 - AI Agent

Block 11 - Google Gemini Chat Model

Block 12 - Webhook

Block 13 - Simple Memory

Block 14 - Sticky Note

Block 15 - Sticky Note1

Block 16 - Sticky Note2

Block 17 - Sticky Note3

Block 18 - Sticky Note4

Block 19 - Sticky Note5

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