{"workflow":{"id":15044,"name":"Automate WhatsApp lead capture and replies with Whapi, Ollama and Sheets","views":0,"recentViews":0,"totalViews":0,"createdAt":"2026-04-14T15:45:39.409Z","description":"Receive WhatsApp messages via Whapi, generate AI replies with a local Ollama model, log conversations in Google Sheets, and auto-capture leads — all without touching a cloud LLM.\n\nThis n8n template builds a fully automated WhatsApp AI CRM using Whapi.cloud for messaging and Ollama for 100% local AI inference — no OpenAI costs, no data leaving your server.\n\n# How it works\n\nA Webhook node receives inbound WhatsApp messages from Whapi.cloud.\nA Code node extracts the sender's phone, name, message text, and filters out outbound/non-text messages.\nAn IF node ensures only real inbound text messages from customers are processed.\nGoogle Sheets is used to fetch that customer's full conversation history, enabling memory across sessions.\nA Code node builds a full prompt — system instructions + conversation history + new message — passed to the AI model.\nOllama (via LangChain LLM Chain node) generates a contextual reply using a local model (default: gemma3:1b).\nThe user message and AI reply are each appended to Google Sheets as conversation history logs.\nA separate Google Sheets upsert captures or updates the lead record with phone and name.\nThe AI reply is sent back to the customer via Whapi's HTTP API.\n\n# How to use\n\nSet up a Whapi.cloud account and connect a WhatsApp number. Point the webhook to your n8n webhook URL.\nCreate a Google Sheet with a History tab (columns: Phone, Name, Role, Message, Timestamp) and a Leads tab (columns: Phone, Name, CreatedAt).\nAdd your Google Sheets credentials and replace YOUR_GOOGLE_SHEET_ID in the relevant nodes.\nRun Ollama locally or on your server. Pull the model: ollama pull gemma3:1b. Update the model name in the Ollama node if using a different model.\nCustomise the system prompt inside the Build AI Prompt node to match your business (real estate, support, bookings, etc.).\nActivate the workflow and send a WhatsApp message to test.\n\n# Requirements\n\nWhapi.cloud account (WhatsApp Business API)\nOllama running locally or on a self-hosted server\nGoogle Sheets (with OAuth2 credentials connected in n8n)\n\n\n# Customising this workflow\n\nSwitch AI models: Swap gemma3:1b for any Ollama-supported model like llama3, mistral, or phi3 depending on your hardware.\nChange the industry: Edit the system prompt in Build AI Prompt to serve any business — bookings, customer support, sales qualification, etc.\nUpgrade the CRM: Replace Google Sheets with Airtable, Notion, or a real CRM (HubSpot, Pipedrive) by swapping out the Sheets nodes.\nAdd handoff logic: Insert a condition to escalate to a human agent if the message contains keywords like \"speak to someone\" or \"human\".\nMulti-language: The system prompt already instructs the AI to reply in the customer's language — no extra setup needed.\n\n# Who is this for\n\nIt's designed for service businesses (real estate, consultants, agencies) that want to respond to inbound WhatsApp leads instantly, log conversations, and build a simple CRM — all from a single workflow.\n","workflow":{"id":"IxqVFDv8v4qKO24G","meta":{"instanceId":"4cdc2ee1e24cfdb2f9ded192f63e93f4b89650a8b025d9d1257c0d76a6bf2d96","templateCredsSetupCompleted":true},"name":"WhatsApp AI CRM — Whapi + Ollama","tags":[],"nodes":[{"id":"e5a09e9a-3413-456d-85dd-013aced66a04","name":"Sticky Note — Overview","type":"n8n-nodes-base.stickyNote","position":[656,240],"parameters":{"color":7,"width":520,"height":620,"content":"## 📱 WhatsApp AI CRM — Whapi + Ollama\n\nAutomatically respond to WhatsApp messages with a **local AI model (Ollama)**, log every conversation in **Google Sheets**, and capture leads — all without paying for cloud LLMs.\n\n**Use cases:** Real estate, service businesses, agencies, appointment booking, customer support.\n\n---\n### ⚙️ Setup Checklist\n1. Connect **Google Sheets OAuth2** credentials\n2. Replace the Google Sheet ID in all Sheets nodes\n3. Add your **Whapi API token** to the *Send Reply* node\n4. Add your **Ollama** credentials (base URL of your Ollama server)\n5. Point your **Whapi webhook** to this workflow's webhook URL\n6. Create the two sheets: `History` and `Leads` (see sticky notes below)\n7. ✏️ Edit the system prompt in **Build AI Prompt** to match your business"},"typeVersion":1},{"id":"403b4472-5305-4c9a-9eb9-db2be0fae157","name":"Sticky Note — Sheets Setup","type":"n8n-nodes-base.stickyNote","position":[672,896],"parameters":{"color":5,"width":420,"height":280,"content":"### 📊 Google Sheet Structure\n\nCreate **one Google Sheet** with two tabs:\n\n**Tab 1 — `History`** (conversation log)\n| Phone | Name | Role | Message | Timestamp |\n\n**Tab 2 — `Leads`** (CRM)\n| Phone | Name | Last Message | Last Contact | Status |\n\n> Copy the Sheet ID from the URL:\n> `docs.google.com/spreadsheets/d/**[SHEET_ID]**/edit`\n> Paste it into all 4 Google Sheets nodes."},"typeVersion":1},{"id":"006d9f66-657a-4a9c-8200-ff43d164effa","name":"Sticky Note — Webhook","type":"n8n-nodes-base.stickyNote","position":[1264,480],"parameters":{"color":4,"width":300,"height":232,"content":"### 🔗 Step 1 — Receive WhatsApp Message\nThis webhook receives all incoming events from **Whapi.cloud**.\n\n**To connect:**\n1. Copy this node's **Production URL**\n2. In your Whapi dashboard → Settings → Webhook URL → paste it\n3. Enable the `messages` event type"},"typeVersion":1},{"id":"9eab2a42-27eb-4489-8e1b-142fd3e16058","name":"Sticky Note — Filter","type":"n8n-nodes-base.stickyNote","position":[1728,432],"parameters":{"color":4,"width":260,"height":254,"content":"### 🔍 Step 2 — Filter\nOnly processes **inbound text messages** from customers.\n\nIgnores:\n- Messages sent by you (fromMe = true)\n- Media, voice, or sticker messages\n- Empty payloads"},"typeVersion":1},{"id":"b56ee197-b2e6-43e6-af9b-5bbcb6a2ce0b","name":"Sticky Note — AI","type":"n8n-nodes-base.stickyNote","position":[2048,288],"parameters":{"color":3,"width":420,"height":292,"content":"### 🧠 Step 3 — Build Prompt + AI Reply\nFetches past conversation history for this contact, then builds a full prompt with:\n- System instructions (your business persona)\n- Conversation history\n- The new message\n\n✏️ **Customise the system prompt** inside the *Build AI Prompt* code node to match your industry (real estate, bookings, support, etc.)\n\nThe **Ollama** node runs a local model — default is `gemma3:1b`. Change it to `llama3`, `mistral`, or any model you have pulled."},"typeVersion":1},{"id":"e74e29da-2404-41fb-b666-b27a0829690f","name":"Sticky Note — CRM & Send","type":"n8n-nodes-base.stickyNote","position":[2768,864],"parameters":{"color":6,"width":420,"height":278,"content":"### 💾 Step 4 — Log + CRM + Send\n- **Log User Message** — appends the customer message to History sheet\n- **Log AI Reply** — appends the AI response to History sheet\n- **Upsert Lead** — creates or updates the lead record in the Leads sheet (matched by phone number)\n- **Send Reply via Whapi** — delivers the AI reply back to the customer on WhatsApp\n\n> ⚠️ Replace the `Bearer` token in the *Send Reply* HTTP node with your Whapi API key."},"typeVersion":1},{"id":"1c487dac-cd45-4ba2-93a8-dbff7fef4abc","name":"Receive WhatsApp Message","type":"n8n-nodes-base.webhook","position":[1360,784],"webhookId":"be795196-2eb6-4525-93c3-42c557bbb593","parameters":{"path":"whapi-crm","options":{},"httpMethod":"POST"},"typeVersion":2},{"id":"fa7ebcb1-7bcd-4185-b85b-884050e3eb11","name":"Extract Message Data","type":"n8n-nodes-base.code","position":[1600,784],"parameters":{"jsCode":"// Extract data from Whapi.cloud webhook payload\nconst body = $input.first().json.body || $input.first().json;\n\n// Whapi sends a messages array\nconst messages = body.messages || [];\n\nif (messages.length === 0) {\n  return [{ json: { skip: true, phone: '', name: '', messageText: '', fromMe: true, messageType: 'unknown' } }];\n}\n\nconst msg = messages[0];\n\n// Extract phone number (remove @s.whatsapp.net if present)\nconst rawPhone = msg.chatId || msg.from || '';\nconst phone = rawPhone.replace('@s.whatsapp.net', '').replace('@c.us', '');\n\nreturn [{\n  json: {\n    skip: false,\n    phone: phone,\n    name: msg.pushName || msg.senderName || 'Unknown',\n    messageText: msg.body || (msg.text && msg.text.body) || '',\n    fromMe: msg.fromMe === true,\n    messageType: msg.type || 'unknown',\n    messageId: msg.id || '',\n    timestamp: new Date().toISOString()\n  }\n}];"},"typeVersion":2},{"id":"209fa1ad-637b-44d9-9093-9323bb0e191e","name":"Is Text From Customer?","type":"n8n-nodes-base.if","position":[1840,784],"parameters":{"options":{},"conditions":{"options":{"version":1,"leftValue":"","caseSensitive":true,"typeValidation":"strict"},"combinator":"and","conditions":[{"id":"cond-1","operator":{"type":"boolean","operation":"equals"},"leftValue":"={{ $json.fromMe }}","rightValue":false},{"id":"cond-2","operator":{"type":"string","operation":"equals"},"leftValue":"={{ $json.messageType }}","rightValue":"text"},{"id":"cond-3","operator":{"type":"boolean","operation":"equals"},"leftValue":"={{ $json.skip }}","rightValue":false}]}},"typeVersion":2},{"id":"05357c62-23f3-4e14-999c-a3d5a8e22ecc","name":"Read Conversation History","type":"n8n-nodes-base.googleSheets","position":[2080,688],"parameters":{"options":{},"filtersUI":{"values":[{"lookupValue":"={{ $('Is Text From Customer?').first().json.phone }}","lookupColumn":"Phone"}]},"sheetName":{"__rl":true,"mode":"name","value":"History"},"documentId":{"__rl":true,"mode":"id","value":"YOUR_GOOGLE_SHEET_ID"}},"typeVersion":4.5,"alwaysOutputData":true},{"id":"f09be5f9-0b71-440c-94cc-c84c3652d7a2","name":"Build AI Prompt","type":"n8n-nodes-base.code","position":[2320,688],"parameters":{"jsCode":"// Get data from earlier nodes\nconst msgData = $('Is Text From Customer?').first().json;\nconst historyRows = $input.all();\n\n// Build conversation history string from Google Sheets rows\nlet historyText = '';\nfor (const row of historyRows) {\n  if (row.json.Role && row.json.Message) {\n    const label = row.json.Role === 'user' ? msgData.name : 'Assistant';\n    historyText += `${label}: ${row.json.Message}\\n`;\n  }\n}\n\n// ✏️ CUSTOMISE THIS SYSTEM PROMPT for your business\nconst systemPrompt = `You are a friendly and professional real estate assistant available 24/7. Your job is to:\n- Welcome potential buyers/renters warmly\n- Understand their property needs (location, budget, type, size)\n- Answer questions about available properties\n- Collect their contact info naturally during conversation\n- Offer to schedule property viewings\n- Keep responses short and conversational (2-4 sentences max)\n- Always reply in the SAME LANGUAGE the customer writes in\n\nCustomer name: ${msgData.name}\nCustomer phone: ${msgData.phone}`;\n\nconst fullPrompt = `${systemPrompt}\n\n--- Conversation History ---\n${historyText || '(This is the first message)'}---\n\n${msgData.name}: ${msgData.messageText}\nAssistant:`;\n\nreturn [{\n  json: {\n    ...msgData,\n    prompt: fullPrompt\n  }\n}];"},"typeVersion":2},{"id":"f7d2e632-97d2-4710-92db-66908a6ff896","name":"Generate AI Reply","type":"@n8n/n8n-nodes-langchain.chainLlm","position":[2512,608],"parameters":{"text":"={{ $json.prompt }}","promptType":"define"},"typeVersion":1.4},{"id":"680c228d-9727-4da1-a78e-e69473b249e0","name":"Ollama Model","type":"@n8n/n8n-nodes-langchain.lmChatOllama","position":[2576,928],"parameters":{"model":"gemma3:1b","options":{}},"typeVersion":1},{"id":"b83f682a-68a2-4a35-bd6c-0b14755d50b5","name":"Log User Message","type":"n8n-nodes-base.googleSheets","position":[2800,688],"parameters":{"columns":{"value":{},"schema":[{"id":"Phone","type":"string","display":true,"removed":false,"required":false,"displayName":"Phone","defaultMatch":false,"canBeUsedToMatch":true},{"id":"Name","type":"string","display":true,"removed":false,"required":false,"displayName":"Name","defaultMatch":false,"canBeUsedToMatch":true},{"id":"Role","type":"string","display":true,"removed":false,"required":false,"displayName":"Role","defaultMatch":false,"canBeUsedToMatch":true},{"id":"Message","type":"string","display":true,"removed":false,"required":false,"displayName":"Message","defaultMatch":false,"canBeUsedToMatch":true},{"id":"Timestamp","type":"string","display":true,"removed":false,"required":false,"displayName":"Timestamp","defaultMatch":false,"canBeUsedToMatch":true}],"mappingMode":"autoMapInputData","matchingColumns":[],"attemptToConvertTypes":false,"convertFieldsToString":false},"options":{},"operation":"append","sheetName":{"__rl":true,"mode":"name","value":"History"},"documentId":{"__rl":true,"mode":"id","value":"YOUR_GOOGLE_SHEET_ID"}},"typeVersion":4.5},{"id":"496cbb67-eef1-460c-aa6c-99ebe9c09422","name":"Log AI Reply","type":"n8n-nodes-base.googleSheets","position":[3040,688],"parameters":{"columns":{"value":{"Name":"={{ $('Build AI Prompt').first().json.name }}","Role":"assistant","Phone":"={{ $('Build AI Prompt').first().json.phone }}","Message":"={{ $('Generate AI Reply').first().json.text }}","Timestamp":"={{ $now.toISO() }}"},"schema":[{"id":"Phone","type":"string","display":true,"required":false,"displayName":"Phone","defaultMatch":false,"canBeUsedToMatch":true},{"id":"Name","type":"string","display":true,"required":false,"displayName":"Name","defaultMatch":false,"canBeUsedToMatch":true},{"id":"Role","type":"string","display":true,"required":false,"displayName":"Role","defaultMatch":false,"canBeUsedToMatch":true},{"id":"Message","type":"string","display":true,"required":false,"displayName":"Message","defaultMatch":false,"canBeUsedToMatch":true},{"id":"Timestamp","type":"string","display":true,"required":false,"displayName":"Timestamp","defaultMatch":false,"canBeUsedToMatch":true}],"mappingMode":"defineBelow","matchingColumns":[],"attemptToConvertTypes":false,"convertFieldsToString":false},"options":{},"operation":"append","sheetName":{"__rl":true,"mode":"name","value":"History"},"documentId":{"__rl":true,"mode":"id","value":"YOUR_GOOGLE_SHEET_ID"}},"typeVersion":4.5},{"id":"467eb3c8-7b2d-48df-87dc-f74c2d5ac11e","name":"Upsert Lead in CRM","type":"n8n-nodes-base.googleSheets","position":[3280,688],"parameters":{"columns":{"value":{"Name":"={{ $('Build AI Prompt').first().json.name }}","Phone":"={{ $('Build AI Prompt').first().json.phone }}","Status":"New Lead","Last Contact":"={{ $now.toISO() }}","Last Message":"={{ $('Build AI Prompt').first().json.messageText }}"},"schema":[{"id":"Phone","type":"string","display":true,"removed":false,"required":false,"displayName":"Phone","defaultMatch":false,"canBeUsedToMatch":true},{"id":"Name","type":"string","display":true,"required":false,"displayName":"Name","defaultMatch":false,"canBeUsedToMatch":true},{"id":"Last Message","type":"string","display":true,"required":false,"displayName":"Last Message","defaultMatch":false,"canBeUsedToMatch":true},{"id":"Last Contact","type":"string","display":true,"required":false,"displayName":"Last Contact","defaultMatch":false,"canBeUsedToMatch":true},{"id":"Status","type":"string","display":true,"required":false,"displayName":"Status","defaultMatch":false,"canBeUsedToMatch":true}],"mappingMode":"defineBelow","matchingColumns":["Phone"],"attemptToConvertTypes":false,"convertFieldsToString":false},"options":{},"operation":"appendOrUpdate","sheetName":{"__rl":true,"mode":"name","value":"Leads"},"documentId":{"__rl":true,"mode":"id","value":"YOUR_GOOGLE_SHEET_ID"}},"typeVersion":4.5},{"id":"593de6dc-af8f-4238-a663-50917a2054ce","name":"Send Reply via Whapi","type":"n8n-nodes-base.httpRequest","position":[3520,688],"parameters":{"url":"https://gate.whapi.cloud/messages/text","method":"POST","options":{},"jsonBody":"={{ JSON.stringify({ to: $('Build AI Prompt').first().json.phone, body: $('Generate AI Reply').first().json.text }) }}","sendBody":true,"sendHeaders":true,"specifyBody":"json","headerParameters":{"parameters":[{"name":"Authorization","value":"Bearer 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