WhatsApp bot: A low-code guide to building your own
Step-by-step guide on building a WhatsApp bot with n8n: from setting up a Meta developer account to designing workflows and testing your bot.
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HTTP Request and WhatsApp Business Cloud integration
Save yourself the work of writing custom integrations for HTTP Request and WhatsApp Business Cloud and use n8n instead. Build adaptable and scalable Development, Core Nodes, and Communication workflows that work with your technology stack. All within a building experience you will love.
How to connect HTTP Request and WhatsApp Business Cloud
- Step 1: Create a new workflow
- Step 2: Add and configure nodes
- Step 3: Connect
- Step 4: Customize and extend your integration
- Step 5: Test and activate your workflow
Step 1: Create a new workflow and add the first step
In n8n, click the "Add workflow" button in the Workflows tab to create a new workflow. Add the starting point – a trigger on when your workflow should run: an app event, a schedule, a webhook call, another workflow, an AI chat, or a manual trigger. Sometimes, the HTTP Request node might already serve as your starting point.
Step 2: Add and configure HTTP Request and WhatsApp Business Cloud nodes
You can find HTTP Request and WhatsApp Business Cloud in the nodes panel. Drag them onto your workflow canvas, selecting their actions. Click each node, choose a credential, and authenticate to grant n8n access. Configure HTTP Request and WhatsApp Business Cloud nodes one by one: input data on the left, parameters in the middle, and output data on the right.
Step 3: Connect HTTP Request and WhatsApp Business Cloud
A connection establishes a link between HTTP Request and WhatsApp Business Cloud (or vice versa) to route data through the workflow. Data flows from the output of one node to the input of another. You can have single or multiple connections for each node.
Step 4: Customize and extend your HTTP Request and WhatsApp Business Cloud integration
Use n8n's core nodes such as If, Split Out, Merge, and others to transform and manipulate data. Write custom JavaScript or Python in the Code node and run it as a step in your workflow. Connect HTTP Request and WhatsApp Business Cloud with any of n8n’s 1000+ integrations, and incorporate advanced AI logic into your workflows.
Step 5: Test and activate your HTTP Request and WhatsApp Business Cloud workflow
Save and run the workflow to see if everything works as expected. Based on your configuration, data should flow from HTTP Request to WhatsApp Business Cloud or vice versa. Easily debug your workflow: you can check past executions to isolate and fix the mistake. Once you've tested everything, make sure to save your workflow and activate it.
Popular HTTP Request and WhatsApp Business Cloud workflows
+5
Building Your First WhatsApp Chatbot
This n8n template builds a simple WhatsApp chabot acting as a Sales Agent. The Agent is backed by a product catalog vector store to better answer user's questions.
This template is intended to help introduce n8n users interested in building with WhatsApp.
How it works
This template is in 2 parts: creating the product catalog vector store and building the WhatsApp AI chatbot.
A product brochure is imported via HTTP request node and its text contents extracted.
The text contents are then uploaded to the in-memory vector store to build a knowledgebase for the chatbot.
A WhatsApp trigger is used to capture messages from customers where non-text messages are filtered out.
The customer's message is sent to the AI Agent which queries the product catalogue using the vector store tool.
The Agent's response is sent back to the user via the WhatsApp node.
How to use
Once you've setup and configured your WhatsApp account and credentials
First, populate the vector store by clicking the "Test Workflow" button.
Next, activate the workflow to enable the WhatsApp chatbot.
Message your designated WhatsApp number and you should receive a message from the AI sales agent.
Tweak datasource and behaviour as required.
Requirements
WhatsApp Business Account
OpenAI for LLM
Customising this workflow
Upgrade the vector store to Qdrant for persistance and production use-cases.
Handle different WhatsApp message types for a more rich and engaging experience for customers.
+5
Respond to WhatsApp Messages with AI Like a Pro!
This n8n template demonstrates the beginnings of building your own n8n-powered WhatsApp chatbot! Under the hood, utilise n8n's powerful AI features to handle different message types and use an AI agent to respond to the user. A powerful tool for any use-case!
How it works
Incoming WhatsApp Trigger provides a way to get messages into the workflow.
The message received is extracted and sent through 1 of 4 branches for processing.
Each processing branch uses AI to analyse, summarize or transcribe the message so that the AI agent can understand it. The supported types are text, image, audio (voice notes) and video (no sound).
The AI Agent is used to generate a response generally and uses a wikipedia tool for more complex queries.
Finally, the response message is sent back to the WhatsApp user using the WhatsApp node.
How to use
Once you have setup and configured your WhatsApp account, you'll need to activate your workflow to start processing messages.
Good to know: Large media files may negatively impact workflow performance.
Requirements
WhatsApp Buisness account
OpenAI for LLM
Customising this workflow
For performance reasons, consider processing audio and video using dedicated services.
To handle videos with sound, you have 2 choices: use an LLM like Gemini which fully supports video processing (though video input is not currently supported in LLM node) or split the video into a image track and audio track and process separately. Good luck!
Go beyond and create rich and engagement customer experiences by responding using images, audio and video instead of just text!
Build your own HTTP Request and WhatsApp Business Cloud integration
Create custom HTTP Request and WhatsApp Business Cloud workflows by choosing triggers and actions. Nodes come with global operations and settings, as well as app-specific parameters that can be configured. You can also use the HTTP Request node to query data from any app or service with a REST API.
HTTP Request and WhatsApp Business Cloud integration details
Other integrations with WhatsApp Business Cloud
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