This article provides a complete, practical walkthrough of the Whatsapp Stickynote Automation Webhook n8n agent. It connects HTTP Request, Webhook across approximately 1 node(s). Expect a Expert setup in 2-4 hours. One‑time purchase: €149.

What This Agent Does

This agent orchestrates a reliable automation between HTTP Request, Webhook, handling triggers, data enrichment, and delivery with guardrails for errors and rate limits.

It streamlines multi‑step processes that would otherwise require manual exports, spreadsheet cleanup, and repeated API requests. By centralizing logic in n8n, it reduces context switching, lowers error rates, and ensures consistent results across teams.

Typical outcomes include faster lead handoffs, automated notifications, accurate data synchronization, and better visibility via execution logs and optional Slack/Email alerts.

How It Works

The workflow uses standard n8n building blocks like Webhook or Schedule triggers, HTTP Request for API calls, and control nodes (IF, Merge, Set) to validate inputs, branch on conditions, and format outputs. Retries and timeouts improve resilience, while credentials keep secrets safe.

Third‑Party Integrations

• HTTP Request
• Webhook

Import and Use in n8n

1. Open n8n and create a new workflow or collection.
2. Choose Import from File or Paste JSON.
3. Paste the JSON below, then click Import.
4. Show n8n JSON

   Title:  
   Revolutionize Customer Service with n8n: Build a WhatsApp-Ready AI Support Assistant in Minutes
   
   Meta Description:  
   Learn how to deploy a fully customizable AI-powered customer support assistant using n8n, OpenAI, and WhatsApp. This workflow responds in real-time by crawling your website, handling any industry queries with up-to-date information.
   
   Keywords:  
   n8n, AI customer support, WhatsApp automation, OpenAI, GPT-4, chatbot workflow, LangChain, business automation, website crawler, real-time support, WhatsApp API, open source automation, customer service AI, Supabase memory, GPT customer assistant
   
   Third-Party APIs & Services Used:
   1. OpenAI API (gpt-4o-mini model) - for generating AI responses
   2. WhatsApp Business Cloud API - to send and receive messages
   3. LangChain Agent - embedded within n8n to structure AI interactions and tools
   4. Lemolex Tools (via HTTP Webhooks):
      - list_links endpoint - gathers internal URLs from a target website
      - get_page endpoint - fetches clean visible text from a specified page
   5. Supabase/PostgreSQL - for storing and retrieving chat histories
   
   —
   
   Article:
   
   AI-Powered Customer Support Made Simple with n8n and WhatsApp
   
   Providing excellent customer support across channels can be a challenge for modern businesses. But what if you could deliver responsive, AI-powered support directly through WhatsApp — the world’s most popular messaging platform — using real-time data pulled straight from your website?
   
   Now you can. Thanks to a powerful pre-configured n8n workflow, setting up your own AI Customer Support Assistant with WhatsApp integration is easier than ever. This open-source automation unlocks capabilities typically seen in CX tools costing hundreds per month — all for a fraction of the cost.
   
   Let’s dive into how it works and why it's perfect for virtually any business.
   
   💡 What This Workflow Does
   
   This n8n workflow builds a multilingual AI chatbot that receives and replies to WhatsApp customer inquiries using information scraped from your own live website. The assistant can answer product questions, explain shipping policies, quote prices, find FAQs — you name it.
   
   More specifically, it:
   - Accepts incoming WhatsApp messages via the WhatsApp Business API.
   - Passes them to an OpenAI-powered LangChain Agent.
   - Crawls your business website in real-time using intelligent tools (list_links and get_page).
   - Extracts relevant information and forms a complete, conversational answer.
   - Sends the AI's response back to the customer on WhatsApp.
   - Handles fallback cases (e.g., “connect me to a human”) and stale conversations.
   
   It delivers human-like answers, always referencing the latest information on your site — no need for manual retraining.
   
   🧠 How It Works Technically
   
   1. WhatsApp Trigger  
   The workflow starts when a message is received via the WhatsApp Business Cloud API. This keeps it real-time and user-initiated.
   
   2. LangChain AI Agent with Website Tools  
   At its core lies a LangChain-enabled AI agent that takes the incoming message, applies a defined search strategy, and triggers two key tools:
      - list_links: Gathers up to 100 internal URLs from the homepage of your site.
      - get_page: Extracts clean, tag-free plain text (including JavaScript-rendered content) from these links.
   
   The agent uses these tools combo to identify the most relevant pages based on the question themes (e.g., product, shipping, payment, returns), then reads the text from those pages to generate a factual and on-brand response.
   
   3. GPT-4o Mini for Natural Language  
   The AI model chosen is OpenAI’s GPT-4o-mini, known for its balance of cost, speed, and quality. It adds conversational finesse to the responses while obeying strict format rules: no markdown, plain URLs, and clear tone as a member of your company.
   
   4. Cleaning and Delivery  
   A small code node removes formatting (bolds, italics, markdown links), collapses line breaks, and prepares the output for WhatsApp delivery. If the conversation falls outside of Meta’s 24-hour message window, a pre-approved template message is sent to reopen the chat before sharing the AI’s reply.
   
   5. Chat Memory  
   Past conversation context is preserved using a Supabase (PostgreSQL) memory system, allowing the bot to stay aware of previous interactions with each customer.
   
   🛠️ Customization in 15 Minutes
   
   Thanks to its modular and no-code visual design in n8n, even non-programmers can adapt this system quickly:
   - Replace placeholder URLs and company names in the AI Agent.
   - Paste your website homepage and membership key into the “list_links” and “get_page” nodes.
   - Connect your own OpenAI, WhatsApp, and Supabase credentials.
   - Optional: Customize conversation templates or remove the 24-hour window logic if not needed.
   
   A full setup guide is included inside the Sticky Note node of the n8n canvas, along with video tutorials for more advanced steps.
   
   💸 Cost and Membership
   
   Unlike SaaS platforms like Intercom or Zendesk that charge $150–$500/month, this workflow runs at a fraction of the price: just $29/month via Lemolex’s membership. This fee grants access to powerful cloud crawling tools that fuel the real-time insights — eliminating the need for expensive retraining or manual data entry.
   
   Once activated, you’re free to use the bot for your own brand or resell implementations to clients at a steep margin.
   
   📈 Who Should Use This
   
   This solution is ideal for:
   - E-commerce brands looking to answer product & shipping questions 24/7
   - Agencies offering full-service client automation
   - Startups looking to avoid costly CRM integrations
   - Businesses in LATAM and other WhatsApp-dominant regions
   
   With the plug-and-play structure, you don’t need to write any code or retrain any model. Just point it at your site and go live.
   
   🚀 Get Started
   
   AI-powered customer support doesn’t have to be technical, expensive, or slow to implement. With this WhatsApp-integrated workflow built in n8n, you can launch a smart, real-time chat assistant in under an hour — without breaking the bank.
   
   Activate your membership here: https://lemolex.gumroad.com/l/ejsnx  
   Then import the workflow into your n8n instance and watch your customer support go fully AI-native.
   
   —
   
   Final Thoughts
   
   Your customers already live in WhatsApp. Now, your support team can too — with an intelligent assistant that’s always current, always kind, and never sleeps. Try the n8n AI Customer Support Assistant today and take your automation game to the next level.

5. Set credentials for each API node (keys, OAuth) in Credentials.
6. Run a test via Execute Workflow. Inspect Run Data, then adjust parameters.
7. Enable the workflow to run on schedule, webhook, or triggers as configured.

Tips: keep secrets in credentials, add retries and timeouts on HTTP nodes, implement error notifications, and paginate large API fetches.

Validation: use IF/Code nodes to sanitize inputs and guard against empty payloads.

Why Automate This with AI Agents

AI‑assisted automations offload repetitive, error‑prone tasks to a predictable workflow. Instead of manual copy‑paste and ad‑hoc scripts, your team gets a governed pipeline with versioned state, auditability, and observable runs.

n8n’s node graph makes data flow transparent while AI‑powered enrichment (classification, extraction, summarization) boosts throughput and consistency. Teams reclaim time, reduce operational costs, and standardize best practices without sacrificing flexibility.

Compared to one‑off integrations, an AI agent is easier to extend: swap APIs, add filters, or bolt on notifications without rewriting everything. You get reliability, control, and a faster path from idea to production.

Best Practices

• Credentials: restrict scopes and rotate tokens regularly.
• Resilience: configure retries, timeouts, and backoff for API nodes.
• Data Quality: validate inputs; normalize fields early to reduce downstream branching.
• Performance: batch records and paginate for large datasets.
• Observability: add failure alerts (Email/Slack) and persistent logs for auditing.
• Security: avoid sensitive data in logs; use environment variables and n8n credentials.

FAQs

Can I swap integrations later? Yes. Replace or add nodes and re‑map fields without rebuilding the whole flow.

How do I monitor failures? Use Execution logs and add notifications on the Error Trigger path.

Does it scale? Use queues, batching, and sub‑workflows to split responsibilities and control load.

Is my data safe? Keep secrets in Credentials, restrict token scopes, and review access logs.