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integration WhatsApp Business Cloud node

Integrate WhatsApp Business Cloud with 500+ apps and services

Unlock WhatsApp Business Cloud’s full potential with n8n, connecting it to similar Communication apps and over 1000 other services. Automate communication workflows by sending, scheduling, and tracking messages across platforms. Create adaptable and scalable workflows between WhatsApp Business Cloud and your stack. All within a building experience you will love.

Create workflows with WhatsApp Business Cloud integrations

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Popular ways to use WhatsApp Business Cloud integration

Asana node
WhatsApp Business Cloud node
n8n Form Trigger node

Automated Customer Service Ticket Creation & Notifications with Asana & WhatsApp

How it works: This workflow automates your customer service with built in notifications for your users & ticket creation with Asana. If a user submits a form, he gets send a confirmation message via WhatsApp a task is opened in Asana with his request in it. Setup: You need to add your credentials to the WhatsApp Business Cloud node. You need to add your credentials to the Asana node. Replace the placeholders with the correct phone number, id, and so on. Change the confirmation message to your liking. Optional Changes: You could extend this workflow to update your user on the progress of the ticket in Asana. You can change the messaging from WhatsApp to E-Mail. You can change the form submission service from n8n-native to Typeform or similar. You can change the task management software from Asana to the one you use. Click here to find a blog post with additional information.
bwiertz
Bela
Google Sheets node
+5

🚀 Boost your customer service with this WhatsApp Business bot!

This n8n workflow demonstrates how to automate customer interactions and appointment management via WhatsApp Business bot. After submitting a Google Form, the user receives a notification via WhatsApp. These notifications are sent via a template message. In case user sends a message to the bot, the text and user data is stored in Google Sheets. To reply back to the user, fill in the ReplyText column and change the Status to 'Ready'. In a few seconds n8n will fetch the unsent replies and deliver them one by one via WhatsApp Business node. Customize this workflow to fit your specific needs, connect different online services and enhance your customer communication! 🎉 Setup Instructions To get this workflow up and running, you'll need to: 👇 Create a WhatsApp template message on the Meta Business portal. Obtain an Access Token and WhatsApp Business Account ID from the Meta Developers Portal. This is needed for the WhatsApp Business Node to send messages. Set up a WhatsApp Trigger node with App ID and App Secret from the Meta Developers Portal. Right after that copy the WhatsApp Trigger URL and add it as a Callback URL in the Meta Developers Portal. This trigger is needed to receive incoming messages and their status updates. Connect your Google Sheets account for data storage and management. Check out the documentation page. ⚠️ Important Notes WhatsApp allows automatic custom text messages only within 24 hours of the last user message. Outside with time frame only approved template messages can be sent. The workflow uses a Google Sheet to manage form submissions, incoming messages and prepare responses. You can replace these nodes and connect the WhatsApp bot with other systems.
eduard
Eduard
HTTP Request node
+8

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. 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 Google Gemini for LLM. Gemini is used specifically because it can accept audio and video files whereas at time of writing, many other providers like OpenAI's GPT, do not. Customising this workflow For performance reasons, consider detecting large audio and video before sending to the LLM. Pre-processing such files may allow your agent to perform better. Go beyond and create rich and engagement customer experiences by responding using images, audio and video instead of just text!
jimleuk
Jimleuk
HTTP Request node
Merge node
+13

Automate Sales Meeting Prep with AI & APIFY Sent To WhatsApp

This n8n template builds a meeting assistant that compiles timely reminders of upcoming meetings filled with email history and recent LinkedIn activity of other people on the invite. This is then discreetly sent via WhatsApp ensuring the user is always prepared, informed and ready to impress! How it works A scheduled trigger fires hourly to check for upcoming personal meetings. When found, the invite is analysed by an AI agent to pull email and LinkedIn details of the other invitees. 2 subworkflows are then triggered for each invitee to (1) search for last email correspondence with them and (2) scrape their LinkedIn profile + recent activity for social updates. Using both available sources, another AI agent is used to summarise this information and generate a short meeting prep message for the user. The notification is finally sent to the user's WhatsApp, allowing them ample time to review. How to use There are a lot of moving parts in this template so in it's current form, it's best to use this for personal rather than team calendars. The LinkedIn scraping method used in this workflow requires you to paste in your LinkedIn cookies from your browser which essentially let's n8n impersonate you. You can retrieve this from dev console or ask someone technical for help! Note: It may be wise to switch to other LinkedIn scraping approaches which do not impersonate your own account for production. Requirements OpenAI for LLM Gmail for Email Google Calendar for upcoming events WhatsApp Business account for notifications Customising this workflow Try adding information sources which are relevant to you and your invitees. Such as company search, other social media sites etc. Create an on-demand version which doesn't rely on the scheduled trigger. Sometimes you want to know prepare for meetings hours or days in advance where this could help immensely.
jimleuk
Jimleuk
Webhook node
Respond to Webhook node
WhatsApp Business Cloud node

WhatsApp Starter Workflow

This n8n workflow is designed for working with the WhatsApp Business platform. It allows to send custom replies via WhatsApp in response to incoming user messages. 💡 Take a look at the step-by-step tutorial on how to create a WhatsApp bot. The workflow consists of two parts: The first Verify webhook sends back verification challenge string. You will need this part during the setup process on the Meta for Developers portal: Select your App Go to WhatsApp Configuration Click on the Edit button in the Webhook session Enter your production webhook URL, provide Verify token (can be any text string) Remember to activate the n8n workflow! Finally press "Verify and save" Once the webhook is verified, the Respond webhook receives various POST requests from Meta regarding WhatsApp messages (user messages and status notifications). The workflow checks whether the incoming JSON contains a user message. If this is the case, it sends the text message back to the user. This is a custom message, not a WhatsApp Business template.
yulia
Yulia
HTTP Request node
WhatsApp Business Cloud node
+10

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.
jimleuk
Jimleuk

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WhatsApp Business Cloud node

About WhatsApp Business Cloud

The cloud-based version of WhatsApp Business API, WhatsApp Cloud API enables companies and developers to build applications on top of WhatsApp to personalize user experiences and quickly and easily respond to customers.

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FAQ about WhatsApp Business Cloud integrations

  • How can I set up WhatsApp Business Cloud integration in n8n?

      To use WhatsApp Business Cloud integration in n8n, start by adding the WhatsApp Business Cloud node to your workflow. You'll need to authenticate your WhatsApp Business Cloud account using supported authentication methods. Once connected, you can choose from the list of supported actions or make custom API calls via the HTTP Request node, for example: you can then configure your workflow to send messages or receive incoming messages based on your requirements. Make sure to properly set the required parameters for each action you plan to use. Finally, test your workflow to ensure everything is functioning as expected.

  • Do I need any special permissions or API keys to integrate WhatsApp Business Cloud with n8n?

  • Can I combine WhatsApp Business Cloud with other apps in n8n workflows?

  • What are some common use cases for WhatsApp Business Cloud integrations with n8n?

  • How does n8n’s pricing model benefit me when integrating WhatsApp Business Cloud?

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