{ "workflow": { "id": 10624, "name": "Automate Singapore COE price analysis & purchase timing with GLM-4.5 AI predictions", "views": 99, "recentViews": 0, "totalViews": 99, "createdAt": "2025-11-08T08:56:49.436Z", "description": "\n## Introduction\nAutomates Singapore COE price tracking, predicts trends using AI, and recommends optimal car purchase timing. Scrapes LTA data biweekly, analyzes historical trends, forecasts next 6 bidding rounds, and sends alerts when buying windows appear—saving time and identifying cost-saving opportunities.\n\n## How it Works\nBiweekly trigger scrapes LTA COE data → processes historical trends → AI predicts 6-month prices → compares current vs forecast → generates buy/wait recommendations → alerts sent via Gmail or Telegram.\n\n## Setup Steps\n1. Add NVIDIA/OpenAI API credentials in n8n\n2. Connect Google Sheets for data storage\n3. Authenticate Gmail/Telegram for notifications\n4. Schedule trigger for Wednesdays 8PM SGT\n5. Configure alert thresholds in conditional nodes\n\n## Workflow\nSchedule Trigger → HTTP Request (Scrape LTA) → Data Processing → Google Sheets (Store) → AI Prediction → Analysis Engine → Conditional Logic → Gmail/Telegram Notification\n\n## Workflow Steps\n1. Scraping: Extract COE prices from OneMotoring\n2. Processing: Calculate moving averages, volatility, seasonal trends\n3. Storage: Save to Google Sheets with timestamps\n4. Prediction: AI forecasts next 6 bidding rounds\n5. Analysis: Compare current vs predicted prices, generate recommendation\n6. Notification: Alerts via email/Telegram\n\n## Prerequisites\nNVIDIA/OpenAI API key, Google account (Sheets), Gmail/Telegram for notifications, basic COE category knowledge\n\n## Use Cases\nFirst-time buyers monitoring price dips, fleet managers timing bulk purchases\n\n## Customization\nAdd economic indicators, integrate car loan calculators, track parallel imported car prices\n\n## Benefits\nSaves hours of manual monitoring, captures 10–15% price dips, provides data-driven purchase timing (potential $5K–$15K savings)\n\n", "workflow": { "id": "bNDL8d7av4vO7Uym", "meta": { "instanceId": "b91e510ebae4127f953fd2f5f8d40d58ca1e71c746d4500c12ae86aad04c1502" }, "name": "Singapore COE Price Scraping & GLM-4.5 Prediction with Purchase Timing Recommendation", "tags": [], "nodes": [ { "id": "f0630256-92c3-4f3d-9bd6-4a93ced66909", "name": "Schedule Trigger - Bi-Weekly COE Scraping", "type": "n8n-nodes-base.scheduleTrigger", "position": [ 64, 384 ], "parameters": { "rule": { "interval": [ { "field": "cronExpression", "expression": "0 20 * * 3" } ] } }, "typeVersion": 1.2 }, { "id": "0e1e24c9-35cc-45f1-bc03-51bef5e4a48b", "name": "Scrape COE Data from OneMotoring", "type": "n8n-nodes-base.httpRequest", "position": [ 320, 384 ], "parameters": { "url": "https://onemotoring.lta.gov.sg/content/onemotoring/home/buying/upfront-vehicle-costs/certificate-of-entitlement--coe-.html", "options": { "timeout": 30000 } }, "typeVersion": 4.2 }, { "id": "75af2713-c37a-40b6-9eb8-a321d1e52a2a", "name": "Extract COE Price Data", "type": "n8n-nodes-base.code", "position": [ 512, 384 ], "parameters": { "jsCode": "const html = $input.item.json.data;\nconst cheerio = require('cheerio');\nconst $ = cheerio.load(html);\n\nconst categories = ['Category A', 'Category B', 'Category C', 'Category D', 'Category E'];\nconst coeData = [];\nconst biddingDate = new Date().toISOString().split('T')[0];\n\n$('table tbody tr').each((index, row) => {\n const cells = $(row).find('td');\n if (cells.length >= 4) {\n const category = $(cells[0]).text().trim();\n const quotaPremium = parseFloat($(cells[1]).text().replace(/[^0-9.]/g, ''));\n const quotaAvailable = parseInt($(cells[2]).text().replace(/[^0-9]/g, ''));\n const bidsReceived = parseInt($(cells[3]).text().replace(/[^0-9]/g, ''));\n \n if (categories.some(cat => category.includes(cat))) {\n coeData.push({\n biddingDate,\n category,\n quotaPremium,\n quotaAvailable,\n bidsReceived,\n timestamp: new Date().toISOString()\n });\n }\n }\n});\n\nreturn coeData.map(item => ({ json: item }));" }, "typeVersion": 2 }, { "id": "4c4d36f4-439a-402f-95c1-12450ab8e53a", "name": "Store in Google Sheets", "type": "n8n-nodes-base.googleSheets", "position": [ 704, 384 ], "parameters": { "columns": { "value": { "category": "={{ $json.category }}", "timestamp": "={{ $json.timestamp }}", "biddingDate": "={{ $json.biddingDate }}", "bidsReceived": "={{ $json.bidsReceived }}", "quotaPremium": "={{ $json.quotaPremium }}", "quotaAvailable": "={{ $json.quotaAvailable }}" }, "mappingMode": "defineBelow" }, "options": {}, "operation": "append", "sheetName": { "__rl": true, "mode": "name", "value": "COE Historical Data" }, "documentId": { "__rl": true, "mode": "id", "value": "{{ $json.spreadsheetId }}" } }, "credentials": { "googleSheetsOAuth2Api": { "id": "credential-id", "name": "googleSheetsOAuth2Api Credential" } }, "typeVersion": 4.5 }, { "id": "9e035479-59b9-48a9-951e-b9ced757a9c2", "name": "Retrieve Historical COE Data", "type": "n8n-nodes-base.googleSheets", "position": [ 896, 384 ], "parameters": { "options": {}, "sheetName": { "__rl": true, "mode": "name", "value": "COE Historical Data" }, "documentId": { "__rl": true, "mode": "id", "value": "={{ $json.spreadsheetId }}" } }, "credentials": { "googleSheetsOAuth2Api": { "id": "credential-id", "name": "googleSheetsOAuth2Api Credential" } }, "typeVersion": 4.5 }, { "id": "5437ef61-879f-4b99-9740-c2940af16055", "name": "Calculate Technical Indicators", "type": "n8n-nodes-base.code", "position": [ 1072, 384 ], "parameters": { "jsCode": "const items = $input.all();\nconst categories = ['Category A', 'Category B', 'Category C', 'Category D', 'Category E'];\n\nconst processedData = {};\n\ncategories.forEach(category => {\n const categoryData = items.filter(item => \n item.json.category && item.json.category.includes(category)\n ).sort((a, b) => new Date(a.json.biddingDate) - new Date(b.json.biddingDate));\n \n if (categoryData.length < 4) {\n processedData[category] = { error: 'Insufficient data' };\n return;\n }\n \n const prices = categoryData.map(item => item.json.quotaPremium);\n const latestPrice = prices[prices.length - 1];\n \n const ma4 = prices.slice(-4).reduce((a, b) => a + b, 0) / 4;\n const ma12 = prices.length >= 12 ? prices.slice(-12).reduce((a, b) => a + b, 0) / 12 : ma4;\n const ma26 = prices.length >= 26 ? prices.slice(-26).reduce((a, b) => a + b, 0) / 26 : ma12;\n \n const rateOfChange = ((latestPrice - prices[prices.length - 5]) / prices[prices.length - 5]) * 100;\n \n const variance = prices.slice(-12).reduce((sum, price) => sum + Math.pow(price - ma12, 2), 0) / Math.min(12, prices.length);\n const volatility = Math.sqrt(variance);\n \n const now = new Date();\n const month = now.getMonth() + 1;\n const quarter = Math.ceil(month / 3);\n const isCNYPeriod = month === 1 || month === 2;\n const isYearEnd = month === 11 || month === 12;\n \n processedData[category] = {\n latestPrice,\n ma4,\n ma12,\n ma26,\n rateOfChange,\n volatility,\n month,\n quarter,\n isCNYPeriod,\n isYearEnd,\n historicalPrices: prices.slice(-26),\n dataPoints: categoryData.length\n };\n});\n\nreturn [{ json: processedData }];" }, "typeVersion": 2 }, { "id": "a4ac811d-1308-4c49-bb12-353f82ce7a61", "name": "Prepare AI Prediction Prompt", "type": "n8n-nodes-base.set", "position": [ 1264, 384 ], "parameters": { "options": {}, "assignments": { "assignments": [ { "id": "1", "name": "predictionPrompt", "type": "string", "value": "=You are a Singapore COE market analysis expert. Analyze the following COE data and provide detailed price predictions:\n\n{{ Object.keys($json).map(category => {\n const data = $json[category];\n return `${category}:\n- Latest Price: $${data.latestPrice}\n- 4-week MA: $${data.ma4?.toFixed(0)}\n- 12-week MA: $${data.ma12?.toFixed(0)}\n- 26-week MA: $${data.ma26?.toFixed(0)}\n- Rate of Change: ${data.rateOfChange?.toFixed(2)}%\n- Volatility: $${data.volatility?.toFixed(0)}\n- Current Period: Q${data.quarter}, Month ${data.month}\n- CNY Period: ${data.isCNYPeriod}\n- Year-End Period: ${data.isYearEnd}\n- Historical Prices (last 26 weeks): ${data.historicalPrices?.join(', ')}`;\n}).join('\\n\\n') }}\n\nProvide:\n1. Price predictions for next 6 bidding rounds (3 months) for each category\n2. Confidence levels (High/Medium/Low) for each prediction\n3. Market trend analysis (uptrend/downtrend/consolidation)\n4. Seasonal factors impact\n5. Risk assessment\n\nFormat as JSON:\n{\n \"predictions\": {\n \"Category A\": [{\"round\": 1, \"predictedPrice\": 95000, \"confidence\": \"High\", \"lower\": 92000, \"upper\": 98000}, ...],\n ...\n },\n \"trends\": {\"Category A\": \"uptrend\", ...},\n \"seasonalImpact\": \"High impact expected due to...\",\n \"riskLevel\": \"Medium\"\n}" } ] } }, "typeVersion": 3.4 }, { "id": "5733ab85-b2bb-4d63-a207-3b8d5cc16c36", "name": "AI Agent - COE Analysis", "type": "@n8n/n8n-nodes-langchain.agent", "position": [ 1424, 384 ], "parameters": { "text": "={{ $json.predictionPrompt }}", "options": {} }, "typeVersion": 1.7 }, { "id": "bd9f5443-2781-4f8b-9802-cdadf23f6e2c", "name": "Generate Buy Recommendations", "type": "n8n-nodes-base.code", "position": [ 1744, 384 ], "parameters": { "jsCode": "const technicalData = $('Calculate Technical Indicators').first().json;\nconst aiPrediction = $input.first().json;\n\nconst categories = Object.keys(technicalData);\nconst recommendations = {};\n\ncategories.forEach(category => {\n const tech = technicalData[category];\n if (tech.error) {\n recommendations[category] = { action: 'Insufficient Data', reasoning: tech.error };\n return;\n }\n \n let score = 50;\n let reasoning = [];\n \n if (tech.latestPrice < tech.ma12) {\n score += 15;\n reasoning.push('Price below 12-week average (bullish signal)');\n } else if (tech.latestPrice > tech.ma12 * 1.1) {\n score -= 15;\n reasoning.push('Price significantly above moving average (overheated)');\n }\n \n if (tech.rateOfChange < -5) {\n score += 20;\n reasoning.push(`Strong downward momentum (${tech.rateOfChange.toFixed(1)}%)`);\n } else if (tech.rateOfChange > 10) {\n score -= 20;\n reasoning.push(`Strong upward momentum (${tech.rateOfChange.toFixed(1)}%) - avoid buying`);\n }\n \n if (tech.isCNYPeriod) {\n score -= 10;\n reasoning.push('CNY period typically sees higher prices');\n }\n \n if (tech.isYearEnd) {\n score -= 5;\n reasoning.push('Year-end period - slightly elevated demand');\n }\n \n if (tech.volatility > tech.ma12 * 0.15) {\n score -= 10;\n reasoning.push('High volatility - uncertain market conditions');\n }\n \n let action, timingAdvice, potentialSavings;\n if (score >= 70) {\n action = 'BUY NOW';\n timingAdvice = 'Strong buying opportunity. Market conditions favorable.';\n potentialSavings = 0;\n } else if (score >= 50) {\n action = 'MONITOR CLOSELY';\n timingAdvice = 'Market at neutral position. Consider waiting 2-4 weeks.';\n potentialSavings = Math.round(tech.latestPrice * 0.03);\n } else {\n action = 'WAIT';\n const weeksToWait = score < 30 ? 8 : 4;\n timingAdvice = `Wait ${weeksToWait} weeks. Market showing unfavorable conditions.`;\n potentialSavings = Math.round(tech.latestPrice * 0.08);\n }\n \n recommendations[category] = {\n action,\n score,\n currentPrice: tech.latestPrice,\n timingAdvice,\n potentialSavings,\n reasoning: reasoning.join('; '),\n trend: tech.rateOfChange > 5 ? 'Uptrend' : tech.rateOfChange < -5 ? 'Downtrend' : 'Consolidation',\n volatilityLevel: tech.volatility > tech.ma12 * 0.15 ? 'High' : tech.volatility > tech.ma12 * 0.08 ? 'Medium' : 'Low'\n };\n});\n\nconst bestCategory = Object.entries(recommendations)\n .filter(([_, rec]) => !rec.reasoning.includes('Insufficient'))\n .sort((a, b) => b[1].score - a[1].score)[0];\n\nreturn [{\n json: {\n recommendations,\n bestCategory: bestCategory ? bestCategory[0] : 'None',\n bestCategoryScore: bestCategory ? bestCategory[1].score : 0,\n analysisDate: new Date().toISOString(),\n marketOverview: {\n averageVolatility: Object.values(recommendations)\n .filter(r => r.volatilityLevel)\n .reduce((sum, r) => sum + (r.volatilityLevel === 'High' ? 3 : r.volatilityLevel === 'Medium' ? 2 : 1), 0) / categories.length,\n dominantTrend: Object.values(recommendations)\n .filter(r => r.trend)\n .reduce((acc, r) => {\n acc[r.trend] = (acc[r.trend] || 0) + 1;\n return acc;\n }, {})\n }\n }\n}];" }, "typeVersion": 2 }, { "id": "3b384a83-df2f-4845-9017-ffcb2b377dc6", "name": "Format HTML Report", "type": "n8n-nodes-base.code", "position": [ 2000, 192 ], "parameters": { "jsCode": "const recommendations = $input.first().json.recommendations;\nconst bestCategory = $input.first().json.bestCategory;\nconst analysisDate = new Date($input.first().json.analysisDate).toLocaleDateString('en-SG');\n\nlet htmlReport = `\n\n\n\n \n\n\n
\n

🚗 Singapore COE Price Analysis & Recommendations

\n

Analysis Date: ${analysisDate}

\n \n
\n

⭐ Best Category to Consider

\n

${bestCategory}

\n

Highest recommendation score based on current market conditions

\n
\n`;\n\nObject.entries(recommendations).forEach(([category, rec]) => {\n if (rec.reasoning && rec.reasoning.includes('Insufficient')) {\n htmlReport += `\n
\n

${category}

\n

${rec.reasoning}

\n
\n `;\n return;\n }\n \n const cardClass = rec.action === 'BUY NOW' ? 'buy-now' : rec.action === 'WAIT' ? 'wait' : 'monitor';\n const actionClass = rec.action === 'BUY NOW' ? 'buy' : rec.action === 'WAIT' ? 'wait' : 'monitor';\n \n htmlReport += `\n
\n

${category}

\n
${rec.action === 'BUY NOW' ? '✅' : rec.action === 'WAIT' ? '⏸️' : '👀'} ${rec.action}
\n
$${rec.currentPrice.toLocaleString('en-SG')}
\n
\n Score: ${rec.score}/100\n
\n
\n Trend: ${rec.trend}\n
\n
\n Volatility: ${rec.volatilityLevel}\n
\n

Timing Advice: ${rec.timingAdvice}

\n ${rec.potentialSavings > 0 ? `
💰 Potential Savings: $${rec.potentialSavings.toLocaleString('en-SG')}
` : ''}\n
\n Analysis:
\n ${rec.reasoning}\n
\n
\n `;\n});\n\nhtmlReport += `\n
\n

This analysis is based on historical COE data and market trends. Actual prices may vary.

\n

Data source: LTA OneMotoring Portal | Generated by n8n Automation

\n
\n
\n\n\n`;\n\nreturn [{ json: { htmlReport, subject: `COE Analysis Report - ${analysisDate}` } }];" }, "typeVersion": 2 }, { "id": "509457b5-5626-4869-9db2-da1eff8a0e20", "name": "Send Email Report", "type": "n8n-nodes-base.emailSend", "position": [ 2224, 192 ], "webhookId": "6efb9b2b-9227-4448-b938-3453c380853c", "parameters": { "options": {}, "subject": "={{ $json.subject }}", "toEmail": "user@example.com", "fromEmail": "user@example.com" }, "typeVersion": 2.1 }, { "id": "8f0f99a2-3cb3-4bfd-acda-179434d27b21", "name": "Check for Buy Opportunities", "type": "n8n-nodes-base.if", "position": [ 2000, 384 ], "parameters": { "options": {}, "conditions": { "options": { "leftValue": "", "caseSensitive": true, "typeValidation": "strict" }, "combinator": "or", "conditions": [ { "id": "1", "operator": { "type": "string", "operation": "equals" }, "leftValue": "={{ $json.recommendations['Category A'].action }}", "rightValue": "BUY NOW" }, { "id": "2", "operator": { "type": "string", "operation": "equals" }, "leftValue": "={{ $json.recommendations['Category B'].action }}", "rightValue": "BUY NOW" } ] } }, "typeVersion": 2.1 }, { "id": "dd4f819f-2115-41bb-a472-6149662d2e20", "name": "Send Telegram Alert", "type": "n8n-nodes-base.telegram", "position": [ 2224, 368 ], "webhookId": "c2ec9ee7-6b4b-466f-8faa-0e8c98a946a9", "parameters": { "text": "=🚨 *COE BUY ALERT* 🚨\n\nOptimal buying opportunity detected!\n\n{{ Object.entries($json.recommendations)\n .filter(([_, rec]) => rec.action === 'BUY NOW')\n .map(([cat, rec]) => `*${cat}*: $${rec.currentPrice.toLocaleString('en-SG')}\\nScore: ${rec.score}/100\\n${rec.timingAdvice}`)\n .join('\\n\\n') }}\n\nView full report in your email.", "chatId": "{{ $('Schedule Trigger - Bi-Weekly COE Scraping').item.json.telegramChatId }}", "additionalFields": { "parse_mode": "Markdown" } }, "typeVersion": 1.2 }, { "id": "b08a514c-b77d-46d2-a928-70efd0ef643a", "name": "Generate Dashboard Summary", "type": "n8n-nodes-base.set", "position": [ 2000, 576 ], "parameters": { "options": {}, "assignments": { "assignments": [ { "id": "1", "name": "dashboardSummary", "type": "string", "value": "=## Singapore COE Dashboard - {{ new Date().toLocaleDateString('en-SG') }}\n\n### Current Prices\n{{ Object.entries($('Generate Buy Recommendations').first().json.recommendations)\n .map(([cat, rec]) => `**${cat}**: $${rec.currentPrice?.toLocaleString('en-SG') || 'N/A'}`)\n .join('\\n') }}\n\n### Top Recommendation\n**{{ $('Generate Buy Recommendations').first().json.bestCategory }}** (Score: {{ $('Generate Buy Recommendations').first().json.bestCategoryScore }}/100)\n\n### Market Overview\n- Dominant Trend: {{ Object.entries($('Generate Buy Recommendations').first().json.marketOverview.dominantTrend).sort((a,b) => b[1] - a[1])[0][0] }}\n- Average Volatility: {{ $('Generate Buy Recommendations').first().json.marketOverview.averageVolatility > 2.5 ? 'High' : $('Generate Buy Recommendations').first().json.marketOverview.averageVolatility > 1.5 ? 'Medium' : 'Low' }}\n\n### Action Items\n{{ Object.entries($('Generate Buy Recommendations').first().json.recommendations)\n .map(([cat, rec]) => `- **${cat}**: ${rec.action} - ${rec.timingAdvice}`)\n .join('\\n') }}" } ] } }, "typeVersion": 3.4 }, { "id": "2ce78f73-1b51-43b9-94cf-e6b7ce7544df", "name": "Sticky Note", "type": "n8n-nodes-base.stickyNote", "position": [ 0, -64 ], "parameters": { "width": 992, "height": 384, "content": "## Introduction\nAutomates Singapore COE price tracking, predicts trends using AI, and recommends optimal car purchase timing. Scrapes LTA data biweekly, analyzes historical trends, forecasts next 6 bidding rounds, and sends alerts when buying windows appear—saving time and identifying cost-saving opportunities.\n\n## How it Works\nBiweekly trigger scrapes LTA COE data → processes historical trends → AI predicts 6-month prices → compares current vs forecast → generates buy/wait recommendations → alerts sent via Gmail or Telegram.\n\n## Setup Steps\n1. Add NVIDIA/OpenAI API credentials in n8n\n2. Connect Google Sheets for data storage\n3. Authenticate Gmail/Telegram for notifications\n4. Schedule trigger for Wednesdays 8PM SGT\n5. Configure alert thresholds in conditional nodes\n\n" }, "typeVersion": 1 }, { "id": "ec982981-33f8-4e23-97bc-8fddeb3db95a", "name": "Sticky Note1", "type": "n8n-nodes-base.stickyNote", "position": [ 1056, -64 ], "parameters": { "color": 4, "width": 512, "height": 224, "content": "## Prerequisites\nNVIDIA/OpenAI API key, Google account (Sheets), Gmail/Telegram for notifications, basic COE category knowledge\n\n## Use Cases\nFirst-time buyers monitoring price dips, fleet managers timing bulk purchases\n" }, "typeVersion": 1 }, { "id": "356985f8-b8b9-4166-9267-06607e03e479", "name": "Sticky Note2", "type": "n8n-nodes-base.stickyNote", "position": [ 1632, -64 ], "parameters": { "color": 5, "width": 544, "height": 224, "content": "## Customization\nAdd economic indicators, integrate car loan calculators, track parallel imported car prices\n\n## Benefits\nSaves hours of manual monitoring, captures 10–15% price dips, provides data-driven purchase timing (potential $5K–$15K savings)" }, "typeVersion": 1 }, { "id": "3ef5c1ec-d77f-450b-b446-ba0f20847718", "name": "Sticky Note3", "type": "n8n-nodes-base.stickyNote", "position": [ 0, 560 ], "parameters": { "color": 6, "width": 752, "height": 96, "content": "## Workflow\nSchedule Trigger → HTTP Request (Scrape LTA) → Data Processing → Google Sheets (Store) → AI Prediction → Analysis Engine → Conditional Logic → Gmail/Telegram Notification\n\n" }, "typeVersion": 1 }, { "id": "59139375-d79a-4bf8-a073-de197b6b5456", "name": "OpenRouter Chat Model", "type": "@n8n/n8n-nodes-langchain.lmChatOpenRouter", "position": [ 1424, 560 ], "parameters": { "model": "z-ai/glm-4.5", "options": {} }, "credentials": { "openRouterApi": { "id": "credential-id", "name": "openRouterApi Credential" } }, "typeVersion": 1 }, { "id": "d67e15bf-2829-4e99-adb3-43f841d34020", "name": "Sticky Note4", "type": "n8n-nodes-base.stickyNote", "position": [ 784, 560 ], "parameters": { "color": 3, "width": 576, "height": 192, "content": "## Workflow Steps\n1. Scraping: Extract COE prices from OneMotoring\n2. Processing: Calculate moving averages, volatility, seasonal trends\n3. Storage: Save to Google Sheets with timestamps\n4. Prediction: AI forecasts next 6 bidding rounds\n5. Analysis: Compare current vs predicted prices, generate recommendation\n6. Notification: Alerts via email/Telegram" }, "typeVersion": 1 } ], "active": false, "pinData": {}, "settings": { "executionOrder": "v1" }, "versionId": "793fae3d-cde8-4016-ad16-e27224d55ff7", "connections": { "Format HTML Report": { "main": [ [ { "node": "Send Email Report", "type": "main", "index": 0 } ] ] }, "OpenRouter Chat Model": { "ai_languageModel": [ [ { "node": "AI Agent - COE Analysis", "type": "ai_languageModel", "index": 0 } ] ] }, "Extract COE Price Data": { "main": [ [ { "node": "Store in Google Sheets", "type": "main", "index": 0 } ] ] }, "Store in Google Sheets": { "main": [ [ { "node": "Retrieve Historical COE Data", "type": "main", "index": 0 } ] ] }, "AI Agent - COE Analysis": { "main": [ [ { "node": "Generate Buy Recommendations", "type": "main", "index": 0 } ] ] }, "Check for Buy Opportunities": { "main": [ [ { "node": "Send Telegram Alert", "type": "main", "index": 0 } ] ] }, "Generate Buy Recommendations": { "main": [ [ { "node": "Format HTML Report", "type": "main", "index": 0 }, { "node": "Check for Buy Opportunities", "type": "main", "index": 0 }, { "node": "Generate Dashboard Summary", "type": "main", "index": 0 } ] ] }, "Prepare AI Prediction Prompt": { "main": [ [ { "node": "AI Agent - COE Analysis", "type": "main", "index": 0 } ] ] }, "Retrieve Historical COE Data": { "main": [ [ { "node": "Calculate Technical Indicators", "type": "main", "index": 0 } ] ] }, "Calculate Technical Indicators": { "main": [ [ { "node": "Prepare AI Prediction Prompt", "type": "main", "index": 0 } ] ] }, "Scrape COE Data from OneMotoring": { "main": [ [ { "node": "Extract COE Price Data", "type": "main", "index": 0 } ] ] }, "Schedule Trigger - Bi-Weekly COE Scraping": { "main": [ [ { "node": "Scrape COE Data from OneMotoring", "type": "main", "index": 0 } ] ] } } }, "lastUpdatedBy": 1, "workflowInfo": { "nodeCount": 20, "nodeTypes": { "n8n-nodes-base.if": { "count": 1 }, "n8n-nodes-base.set": { "count": 2 }, "n8n-nodes-base.code": { "count": 4 }, "n8n-nodes-base.telegram": { "count": 1 }, "n8n-nodes-base.emailSend": { "count": 1 }, "n8n-nodes-base.stickyNote": { "count": 5 }, "n8n-nodes-base.httpRequest": { "count": 1 }, "n8n-nodes-base.googleSheets": { "count": 2 }, "@n8n/n8n-nodes-langchain.agent": { "count": 1 }, "n8n-nodes-base.scheduleTrigger": { "count": 1 }, "@n8n/n8n-nodes-langchain.lmChatOpenRouter": { "count": 1 } } }, "status": "published", "user": { "name": "Cheng Siong Chin", "username": "cschin", "bio": "Dr. Cheng Siong CHIN is an n8n workflow creator specializing in AI-powered automation, agent orchestration, and intelligent system integrations. He designs and builds end-to-end workflows that combine LLMs, APIs, and data pipelines to streamline complex processes and deliver production-ready automation solutions. Contact me to discuss custom AI workflows and agent architectures.\n", "verified": true, "links": [ "https://gravatar.com/mysticluminary9fa255f7f5" ], "avatar": "https://gravatar.com/avatar/54544f98e839bb9dd9a764ad1e6823eeddb6db5138d201e42f291a7b0a73303f?r=pg&d=retro&size=200" }, "nodes": [ { "id": 11, "icon": "fa:envelope", "name": "n8n-nodes-base.emailSend", "codex": { "data": { "alias": [ "SMTP", "email", "human", "form", "wait", "hitl", "approval" ], "resources": { "generic": [ { "url": "https://n8n.io/blog/2021-the-year-to-automate-the-new-you-with-n8n/", "icon": "☀️", "label": "2021: The Year to Automate the New You with n8n" }, { "url": "https://n8n.io/blog/build-your-own-virtual-assistant-with-n8n-a-step-by-step-guide/", "icon": "👦", "label": "Build your own virtual assistant with n8n: A step by step guide" } ], "primaryDocumentation": [ { "url": "https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.sendemail/" } ], "credentialDocumentation": [ { "url": "https://docs.n8n.io/integrations/builtin/credentials/sendemail/" } ] }, "categories": [ "Communication", "HITL", "Core Nodes" ], "nodeVersion": "1.0", "codexVersion": "1.0", "subcategories": { "HITL": [ "Human in the Loop" ] } } }, "group": "[\"output\"]", "defaults": { "name": "Send Email", "color": "#00bb88" }, "iconData": { "icon": "envelope", "type": "icon" }, "displayName": "Send Email", "typeVersion": 2, "nodeCategories": [ { "id": 6, "name": "Communication" }, { "id": 9, "name": "Core Nodes" }, { "id": 28, "name": "HITL" } ] }, { "id": 18, "icon": "file:googleSheets.svg", "name": "n8n-nodes-base.googleSheets", "codex": { "data": { "alias": [ "CSV", "Sheet", "Spreadsheet", "GS" ], "resources": { "generic": [ { "url": "https://n8n.io/blog/love-at-first-sight-ricardos-n8n-journey/", "icon": "❤️", "label": "Love at first sight: Ricardo’s n8n journey" }, { "url": "https://n8n.io/blog/why-business-process-automation-with-n8n-can-change-your-daily-life/", "icon": "🧬", "label": "Why business process automation with n8n can change your daily life" }, { "url": "https://n8n.io/blog/automatically-adding-expense-receipts-to-google-sheets-with-telegram-mindee-twilio-and-n8n/", "icon": "🧾", "label": "Automatically Adding Expense Receipts to Google Sheets with Telegram, Mindee, Twilio, and n8n" }, { "url": "https://n8n.io/blog/supercharging-your-conference-registration-process-with-n8n/", "icon": "🎫", "label": "Supercharging your conference registration process with n8n" }, { "url": "https://n8n.io/blog/creating-triggers-for-n8n-workflows-using-polling/", "icon": "⏲", "label": "Creating triggers for n8n workflows using polling" }, { "url": "https://n8n.io/blog/no-code-ecommerce-workflow-automations/", "icon": "store", "label": "6 e-commerce workflows to power up your Shopify s" }, { "url": "https://n8n.io/blog/migrating-community-metrics-to-orbit-using-n8n/", "icon": "📈", "label": "Migrating Community Metrics to Orbit using n8n" }, { "url": "https://n8n.io/blog/automate-google-apps-for-productivity/", "icon": "💡", "label": "15 Google apps you can combine and automate to increase productivity" }, { "url": "https://n8n.io/blog/your-business-doesnt-need-you-to-operate/", "icon": " 🖥️", "label": "Hey founders! Your business doesn't need you to operate" }, { "url": "https://n8n.io/blog/how-honest-burgers-use-automation-to-save-100k-per-year/", "icon": "🍔", "label": "How Honest Burgers Use Automation to Save $100k per year" }, { "url": "https://n8n.io/blog/how-a-digital-strategist-uses-n8n-for-online-marketing/", "icon": "💻", "label": "How a digital strategist uses n8n for online marketing" }, { "url": "https://n8n.io/blog/why-this-product-manager-loves-workflow-automation-with-n8n/", "icon": "🧠", "label": "Why this Product Manager loves workflow automation with n8n" }, { "url": "https://n8n.io/blog/sending-automated-congratulations-with-google-sheets-twilio-and-n8n/", "icon": "🙌", "label": "Sending Automated Congratulations with Google Sheets, Twilio, and n8n " }, { "url": "https://n8n.io/blog/how-a-membership-development-manager-automates-his-work-and-investments/", "icon": "📈", "label": "How a Membership Development Manager automates his work and investments" }, { "url": "https://n8n.io/blog/aws-workflow-automation/", "label": "7 no-code workflow automations for Amazon Web Services" } ], "primaryDocumentation": [ { "url": "https://docs.n8n.io/integrations/builtin/app-nodes/n8n-nodes-base.googlesheets/" } ], "credentialDocumentation": [ { "url": "https://docs.n8n.io/integrations/builtin/credentials/google/oauth-single-service/" } ] }, "categories": [ "Data & Storage", "Productivity" ], "nodeVersion": "1.0", "codexVersion": "1.0" } }, "group": "[\"input\",\"output\"]", "defaults": { "name": "Google Sheets" }, "iconData": { "type": "file", "fileBuffer": "data:image/svg+xml;base64,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" }, "displayName": "Google Sheets", "typeVersion": 5, "nodeCategories": [ { "id": 3, "name": "Data & Storage" }, { "id": 4, "name": "Productivity" } ] }, { "id": 19, "icon": "file:httprequest.svg", "name": "n8n-nodes-base.httpRequest", "codex": { "data": { "alias": [ "API", "Request", "URL", "Build", "cURL" ], "resources": { "generic": [ { "url": "https://n8n.io/blog/2021-the-year-to-automate-the-new-you-with-n8n/", "icon": "☀️", "label": "2021: The Year to Automate the New You with n8n" }, { "url": "https://n8n.io/blog/why-business-process-automation-with-n8n-can-change-your-daily-life/", "icon": "🧬", "label": "Why business process automation with n8n can change your daily life" }, { "url": "https://n8n.io/blog/automatically-pulling-and-visualizing-data-with-n8n/", "icon": "📈", "label": "Automatically pulling and visualizing data with n8n" }, { "url": "https://n8n.io/blog/learn-how-to-automatically-cross-post-your-content-with-n8n/", "icon": "✍️", "label": "Learn how to automatically cross-post your content with n8n" }, { "url": "https://n8n.io/blog/automatically-adding-expense-receipts-to-google-sheets-with-telegram-mindee-twilio-and-n8n/", "icon": "🧾", "label": "Automatically Adding Expense Receipts to Google Sheets with Telegram, Mindee, Twilio, and n8n" }, { "url": "https://n8n.io/blog/running-n8n-on-ships-an-interview-with-maranics/", "icon": "🛳", "label": "Running n8n on ships: An interview with Maranics" }, { "url": "https://n8n.io/blog/what-are-apis-how-to-use-them-with-no-code/", "icon": " 🪢", "label": "What are APIs and how to use them with no code" }, { "url": "https://n8n.io/blog/5-tasks-you-can-automate-with-notion-api/", "icon": "⚡️", "label": "5 tasks you can automate with the new Notion API " }, { "url": "https://n8n.io/blog/world-poetry-day-workflow/", "icon": "📜", "label": "Celebrating World Poetry Day with a daily poem in Telegram" }, { "url": "https://n8n.io/blog/automate-google-apps-for-productivity/", "icon": "💡", "label": "15 Google apps you can combine and automate to increase productivity" }, { "url": "https://n8n.io/blog/automate-designs-with-bannerbear-and-n8n/", "icon": "🎨", "label": "Automate Designs with Bannerbear and n8n" }, { "url": "https://n8n.io/blog/how-uproc-scraped-a-multi-page-website-with-a-low-code-workflow/", "icon": " 🕸️", "label": "How uProc scraped a multi-page website with a low-code workflow" }, { "url": "https://n8n.io/blog/building-an-expense-tracking-app-in-10-minutes/", "icon": "📱", "label": "Building an expense tracking app in 10 minutes" }, { "url": "https://n8n.io/blog/5-workflow-automations-for-mattermost-that-we-love-at-n8n/", "icon": "🤖", "label": "5 workflow automations for Mattermost that we love at n8n" }, { "url": "https://n8n.io/blog/how-to-use-the-http-request-node-the-swiss-army-knife-for-workflow-automation/", "icon": "🧰", "label": "How to use the HTTP Request Node - The Swiss Army Knife for Workflow Automation" }, { "url": "https://n8n.io/blog/learn-how-to-use-webhooks-with-mattermost-slash-commands/", "icon": "🦄", "label": "Learn how to use webhooks with Mattermost slash commands" }, { "url": "https://n8n.io/blog/how-a-membership-development-manager-automates-his-work-and-investments/", "icon": "📈", "label": "How a Membership Development Manager automates his work and investments" }, { "url": "https://n8n.io/blog/a-low-code-bitcoin-ticker-built-with-questdb-and-n8n-io/", "icon": "📈", "label": "A low-code bitcoin ticker built with QuestDB and n8n.io" }, { "url": "https://n8n.io/blog/how-to-set-up-a-ci-cd-pipeline-with-no-code/", "icon": "🎡", "label": "How to set up a no-code CI/CD pipeline with GitHub and TravisCI" }, { "url": "https://n8n.io/blog/automations-for-activists/", "icon": "✨", "label": "How Common Knowledge use workflow automation for activism" }, { "url": "https://n8n.io/blog/creating-scheduled-text-affirmations-with-n8n/", "icon": "🤟", "label": "Creating scheduled text affirmations with n8n" }, { "url": "https://n8n.io/blog/how-goomer-automated-their-operations-with-over-200-n8n-workflows/", "icon": "🛵", "label": "How Goomer automated their operations with over 200 n8n workflows" }, { "url": "https://n8n.io/blog/aws-workflow-automation/", "label": "7 no-code workflow automations for Amazon Web Services" } ], "primaryDocumentation": [ { "url": "https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.httprequest/" } ] }, "categories": [ "Development", "Core Nodes" ], "nodeVersion": "1.0", "codexVersion": "1.0", "subcategories": { "Core Nodes": [ "Helpers" ] } } }, "group": "[\"output\"]", "defaults": { "name": "HTTP Request", "color": "#0004F5" }, "iconData": { "type": "file", "fileBuffer": "data:image/svg+xml;base64,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" }, "displayName": "HTTP Request", "typeVersion": 4, "nodeCategories": [ { "id": 5, "name": "Development" }, { "id": 9, "name": "Core Nodes" } ] }, { "id": 20, "icon": "fa:map-signs", "name": "n8n-nodes-base.if", "codex": { "data": { "alias": [ "Router", "Filter", "Condition", "Logic", "Boolean", "Branch" ], "details": "The IF node can be used to implement binary conditional logic in your workflow. You can set up one-to-many conditions to evaluate each item of data being inputted into the node. That data will either evaluate to TRUE or FALSE and route out of the node accordingly.\n\nThis node has multiple types of conditions: Bool, String, Number, and Date & Time.", "resources": { "generic": [ { "url": "https://n8n.io/blog/learn-to-automate-your-factorys-incident-reporting-a-step-by-step-guide/", "icon": "🏭", "label": "Learn to Automate Your Factory's Incident Reporting: A Step by Step Guide" }, { "url": "https://n8n.io/blog/2021-the-year-to-automate-the-new-you-with-n8n/", "icon": "☀️", "label": "2021: The Year to Automate the New You with n8n" }, { "url": "https://n8n.io/blog/why-business-process-automation-with-n8n-can-change-your-daily-life/", "icon": "🧬", "label": "Why business process automation with n8n can change your daily life" }, { "url": "https://n8n.io/blog/create-a-toxic-language-detector-for-telegram/", "icon": "🤬", "label": "Create a toxic language detector for Telegram in 4 step" }, { "url": "https://n8n.io/blog/no-code-ecommerce-workflow-automations/", "icon": "store", "label": "6 e-commerce workflows to power up your Shopify s" }, { "url": "https://n8n.io/blog/how-to-build-a-low-code-self-hosted-url-shortener/", "icon": "🔗", "label": "How to build a low-code, self-hosted URL shortener in 3 steps" }, { "url": "https://n8n.io/blog/automate-your-data-processing-pipeline-in-9-steps-with-n8n/", "icon": "⚙️", "label": "Automate your data processing pipeline in 9 steps" }, { "url": "https://n8n.io/blog/how-to-get-started-with-crm-automation-and-no-code-workflow-ideas/", "icon": "👥", "label": "How to get started with CRM automation (with 3 no-code workflow ideas" }, { "url": "https://n8n.io/blog/5-tasks-you-can-automate-with-notion-api/", "icon": "⚡️", "label": "5 tasks you can automate with the new Notion API " }, { "url": "https://n8n.io/blog/automate-google-apps-for-productivity/", "icon": "💡", "label": "15 Google apps you can combine and automate to increase productivity" }, { "url": "https://n8n.io/blog/automation-for-maintainers-of-open-source-projects/", "icon": "🏷️", "label": "How to automatically manage contributions to open-source projects" }, { "url": "https://n8n.io/blog/how-uproc-scraped-a-multi-page-website-with-a-low-code-workflow/", "icon": " 🕸️", "label": "How uProc scraped a multi-page website with a low-code workflow" }, { "url": "https://n8n.io/blog/5-workflow-automations-for-mattermost-that-we-love-at-n8n/", "icon": "🤖", "label": "5 workflow automations for Mattermost that we love at n8n" }, { "url": "https://n8n.io/blog/why-this-product-manager-loves-workflow-automation-with-n8n/", "icon": "🧠", "label": "Why this Product Manager loves workflow automation with n8n" }, { "url": "https://n8n.io/blog/sending-automated-congratulations-with-google-sheets-twilio-and-n8n/", "icon": "🙌", "label": "Sending Automated Congratulations with Google Sheets, Twilio, and n8n " }, { "url": "https://n8n.io/blog/how-to-set-up-a-ci-cd-pipeline-with-no-code/", "icon": "🎡", "label": "How to set up a no-code CI/CD pipeline with GitHub and TravisCI" }, { "url": "https://n8n.io/blog/benefits-of-automation-and-n8n-an-interview-with-hubspots-hugh-durkin/", "icon": "🎖", "label": "Benefits of automation and n8n: An interview with HubSpot's Hugh Durkin" }, { "url": "https://n8n.io/blog/aws-workflow-automation/", "label": "7 no-code workflow automations for Amazon Web Services" } ], "primaryDocumentation": [ { "url": "https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.if/" } ] }, "categories": [ "Core Nodes" ], "nodeVersion": "1.0", "codexVersion": "1.0", "subcategories": { "Core Nodes": [ "Flow" ] } } }, "group": "[\"transform\"]", "defaults": { "name": "If", "color": "#408000" }, "iconData": { "icon": "map-signs", "type": "icon" }, "displayName": "If", "typeVersion": 2, "nodeCategories": [ { "id": 9, "name": "Core Nodes" } ] }, { "id": 38, "icon": "fa:pen", "name": "n8n-nodes-base.set", "codex": { "data": { "alias": [ "Set", "JS", "JSON", "Filter", "Transform", "Map" ], "resources": { "generic": [ { "url": "https://n8n.io/blog/learn-to-automate-your-factorys-incident-reporting-a-step-by-step-guide/", "icon": "🏭", "label": "Learn to Automate Your Factory's Incident Reporting: A Step by Step Guide" }, { "url": "https://n8n.io/blog/2021-the-year-to-automate-the-new-you-with-n8n/", "icon": "☀️", "label": "2021: The Year to Automate the New You with n8n" }, { "url": "https://n8n.io/blog/automatically-pulling-and-visualizing-data-with-n8n/", "icon": "📈", "label": "Automatically pulling and visualizing data with n8n" }, { "url": "https://n8n.io/blog/database-monitoring-and-alerting-with-n8n/", "icon": "📡", "label": "Database Monitoring and Alerting with n8n" }, { "url": "https://n8n.io/blog/automatically-adding-expense-receipts-to-google-sheets-with-telegram-mindee-twilio-and-n8n/", "icon": "🧾", "label": "Automatically Adding Expense Receipts to Google Sheets with Telegram, Mindee, Twilio, and n8n" }, { "url": "https://n8n.io/blog/no-code-ecommerce-workflow-automations/", "icon": "store", "label": "6 e-commerce workflows to power up your Shopify s" }, { "url": "https://n8n.io/blog/how-to-build-a-low-code-self-hosted-url-shortener/", "icon": "🔗", "label": "How to build a low-code, self-hosted URL shortener in 3 steps" }, { "url": "https://n8n.io/blog/automate-your-data-processing-pipeline-in-9-steps-with-n8n/", "icon": "⚙️", "label": "Automate your data processing pipeline in 9 steps" }, { "url": "https://n8n.io/blog/how-to-get-started-with-crm-automation-and-no-code-workflow-ideas/", "icon": "👥", "label": "How to get started with CRM automation (with 3 no-code workflow ideas" }, { "url": "https://n8n.io/blog/5-tasks-you-can-automate-with-notion-api/", "icon": "⚡️", "label": "5 tasks you can automate with the new Notion API " }, { "url": "https://n8n.io/blog/automate-google-apps-for-productivity/", "icon": "💡", "label": "15 Google apps you can combine and automate to increase productivity" }, { "url": "https://n8n.io/blog/how-uproc-scraped-a-multi-page-website-with-a-low-code-workflow/", "icon": " 🕸️", "label": "How uProc scraped a multi-page website with a low-code workflow" }, { "url": "https://n8n.io/blog/building-an-expense-tracking-app-in-10-minutes/", "icon": "📱", "label": "Building an expense tracking app in 10 minutes" }, { "url": "https://n8n.io/blog/the-ultimate-guide-to-automate-your-video-collaboration-with-whereby-mattermost-and-n8n/", "icon": "📹", "label": "The ultimate guide to automate your video collaboration with Whereby, Mattermost, and n8n" }, { "url": "https://n8n.io/blog/5-workflow-automations-for-mattermost-that-we-love-at-n8n/", "icon": "🤖", "label": "5 workflow automations for Mattermost that we love at n8n" }, { "url": "https://n8n.io/blog/learn-to-build-powerful-api-endpoints-using-webhooks/", "icon": "🧰", "label": "Learn to Build Powerful API Endpoints Using Webhooks" }, { "url": "https://n8n.io/blog/how-a-membership-development-manager-automates-his-work-and-investments/", "icon": "📈", "label": "How a Membership Development Manager automates his work and investments" }, { "url": "https://n8n.io/blog/a-low-code-bitcoin-ticker-built-with-questdb-and-n8n-io/", "icon": "📈", "label": "A low-code bitcoin ticker built with QuestDB and n8n.io" }, { "url": "https://n8n.io/blog/how-to-set-up-a-ci-cd-pipeline-with-no-code/", "icon": "🎡", "label": "How to set up a no-code CI/CD pipeline with GitHub and TravisCI" }, { "url": "https://n8n.io/blog/benefits-of-automation-and-n8n-an-interview-with-hubspots-hugh-durkin/", "icon": "🎖", "label": "Benefits of automation and n8n: An interview with HubSpot's Hugh Durkin" }, { "url": "https://n8n.io/blog/how-goomer-automated-their-operations-with-over-200-n8n-workflows/", "icon": "🛵", "label": "How Goomer automated their operations with over 200 n8n workflows" }, { "url": "https://n8n.io/blog/aws-workflow-automation/", "label": "7 no-code workflow automations for Amazon Web Services" } ], "primaryDocumentation": [ { "url": "https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.set/" } ] }, "categories": [ "Core Nodes" ], "nodeVersion": "1.0", "codexVersion": "1.0", "subcategories": { "Core Nodes": [ "Data Transformation" ] } } }, "group": "[\"input\"]", "defaults": { "name": "Edit Fields" }, "iconData": { "icon": "pen", "type": "icon" }, "displayName": "Edit Fields (Set)", "typeVersion": 3, "nodeCategories": [ { "id": 9, "name": "Core Nodes" } ] }, { "id": 49, "icon": "file:telegram.svg", "name": "n8n-nodes-base.telegram", "codex": { "data": { "alias": [ "human", "form", "wait", "hitl", "approval" ], "resources": { "generic": [ { "url": "https://n8n.io/blog/why-business-process-automation-with-n8n-can-change-your-daily-life/", "icon": "🧬", "label": "Why business process automation with n8n can change your daily life" }, { "url": "https://n8n.io/blog/create-a-toxic-language-detector-for-telegram/", "icon": "🤬", "label": "Create a toxic language detector for Telegram in 4 step" }, { "url": "https://n8n.io/blog/automatically-adding-expense-receipts-to-google-sheets-with-telegram-mindee-twilio-and-n8n/", "icon": "🧾", "label": "Automatically Adding Expense Receipts to Google Sheets with Telegram, Mindee, Twilio, and n8n" }, { "url": "https://n8n.io/blog/no-code-ecommerce-workflow-automations/", "icon": "store", "label": "6 e-commerce workflows to power up your Shopify s" }, { "url": "https://n8n.io/blog/world-poetry-day-workflow/", "icon": "📜", "label": "Celebrating World Poetry Day with a daily poem in Telegram" }, { "url": "https://n8n.io/blog/using-automation-to-boost-productivity-in-the-workplace/", "icon": "💪", "label": "Using Automation to Boost Productivity in the Workplace" }, { "url": "https://n8n.io/blog/how-to-set-up-a-ci-cd-pipeline-with-no-code/", "icon": "🎡", "label": "How to set up a no-code CI/CD pipeline with GitHub and TravisCI" }, { "url": "https://n8n.io/blog/creating-scheduled-text-affirmations-with-n8n/", "icon": "🤟", "label": "Creating scheduled text affirmations with n8n" }, { "url": "https://n8n.io/blog/creating-telegram-bots-with-n8n-a-no-code-platform/", "icon": "💬", "label": "Creating Telegram Bots with n8n, a No-Code Platform" }, { "url": "https://n8n.io/blog/aws-workflow-automation/", "label": "7 no-code workflow automations for Amazon Web Services" } ], "primaryDocumentation": [ { "url": "https://docs.n8n.io/integrations/builtin/app-nodes/n8n-nodes-base.telegram/" } ], "credentialDocumentation": [ { "url": "https://docs.n8n.io/integrations/builtin/credentials/telegram/" } ] }, "categories": [ "Communication", "HITL" ], "nodeVersion": "1.0", "codexVersion": "1.0", "subcategories": { "HITL": [ "Human in the Loop" ] } } }, "group": "[\"output\"]", "defaults": { "name": "Telegram" }, "iconData": { "type": "file", "fileBuffer": "data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHhtbG5zOnhsaW5rPSJodHRwOi8vd3d3LnczLm9yZy8xOTk5L3hsaW5rIiBmaWxsPSIjZmZmIiBmaWxsLXJ1bGU9ImV2ZW5vZGQiIHN0cm9rZT0iIzAwMCIgc3Ryb2tlLWxpbmVjYXA9InJvdW5kIiBzdHJva2UtbGluZWpvaW49InJvdW5kIiB2aWV3Qm94PSIwIDAgNjYgNjYiPjx1c2UgeGxpbms6aHJlZj0iI2EiIHg9Ii41IiB5PSIuNSIvPjxzeW1ib2wgaWQ9ImEiIG92ZXJmbG93PSJ2aXNpYmxlIj48ZyBmaWxsLXJ1bGU9Im5vbnplcm8iIHN0cm9rZT0ibm9uZSI+PHBhdGggZmlsbD0iIzM3YWVlMiIgZD0iTTAgMzJjMCAxNy42NzMgMTQuMzI3IDMyIDMyIDMyczMyLTE0LjMyNyAzMi0zMlM0OS42NzMgMCAzMiAwIDAgMTQuMzI3IDAgMzIiLz48cGF0aCBmaWxsPSIjYzhkYWVhIiBkPSJtMjEuNjYxIDM0LjMzOCAzLjc5NyAxMC41MDhzLjQ3NS45ODMuOTgzLjk4MyA4LjA2OC03Ljg2NCA4LjA2OC03Ljg2NGw4LjQwNy0xNi4yMzctMjEuMTE5IDkuODk4eiIvPjxwYXRoIGZpbGw9IiNhOWM2ZDgiIGQ9Im0yNi42OTUgMzcuMDM0LS43MjkgNy43NDZzLS4zMDUgMi4zNzMgMi4wNjggMGw0LjY0NC00LjIwMyIvPjxwYXRoIGQ9Im0yMS43MyAzNC43MTItNy44MDktMi41NDVzLS45MzItLjM3OC0uNjMzLTEuMjM3Yy4wNjItLjE3Ny4xODYtLjMyOC41NTktLjU4OCAxLjczMS0xLjIwNiAzMi4wMjgtMTIuMDk2IDMyLjAyOC0xMi4wOTZzLjg1Ni0uMjg4IDEuMzYxLS4wOTdjLjIzMS4wODguMzc4LjE4Ny41MDMuNTQ4LjA0NS4xMzIuMDcxLjQxMS4wNjguNjg5LS4wMDMuMjAxLS4wMjcuMzg2LS4wNDUuNjc4LS4xODQgMi45NzgtNS43MDYgMjUuMTk4LTUuNzA2IDI1LjE5OHMtLjMzIDEuMy0xLjUxNCAxLjM0NWMtLjQzMi4wMTYtLjk1Ni0uMDcxLTEuNTgyLS42MS0yLjMyMy0xLjk5OC0xMC4zNTItNy4zOTQtMTIuMTI2LTguNThhLjM0LjM0IDAgMCAxLS4xNDYtLjIzOWMtLjAyNS0uMTI1LjEwOC0uMjguMTA4LS4yOHMxMy45OC0xMi40MjcgMTQuMzUyLTEzLjczMWMuMDI5LS4xMDEtLjA3OS0uMTUxLS4yMjYtLjEwNy0uOTI5LjM0Mi0xNy4wMjUgMTAuNTA2LTE4LjgwMSAxMS42MjktLjEwNC4wNjYtLjM5NS4wMjMtLjM5NS4wMjMiLz48L2c+PC9zeW1ib2w+PC9zdmc+" }, "displayName": "Telegram", "typeVersion": 1, "nodeCategories": [ { "id": 6, "name": "Communication" }, { "id": 28, "name": "HITL" } ] }, { "id": 565, "icon": "fa:sticky-note", "name": "n8n-nodes-base.stickyNote", "codex": { "data": { "alias": [ "Comments", "Notes", "Sticky" ], "categories": [ "Core Nodes" ], "nodeVersion": "1.0", "codexVersion": "1.0", "subcategories": { "Core Nodes": [ "Helpers" ] } } }, "group": "[\"input\"]", "defaults": { "name": "Sticky Note", "color": "#FFD233" }, "iconData": { "icon": "sticky-note", "type": "icon" }, "displayName": "Sticky Note", "typeVersion": 1, "nodeCategories": [ { "id": 9, "name": "Core Nodes" } ] }, { "id": 834, "icon": "file:code.svg", "name": "n8n-nodes-base.code", "codex": { "data": { "alias": [ "cpde", "Javascript", "JS", "Python", "Script", "Custom Code", "Function" ], "details": "The Code node allows you to execute JavaScript in your workflow.", "resources": { "primaryDocumentation": [ { "url": "https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.code/" } ] }, "categories": [ "Development", "Core Nodes" ], "nodeVersion": "1.0", "codexVersion": "1.0", "subcategories": { "Core Nodes": [ "Helpers", "Data Transformation" ] } } }, "group": "[\"transform\"]", "defaults": { "name": "Code" }, "iconData": { "type": "file", "fileBuffer": "data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iNTEyIiBoZWlnaHQ9IjUxMiIgdmlld0JveD0iMCAwIDUxMiA1MTIiIGZpbGw9Im5vbmUiIHhtbG5zPSJodHRwOi8vd3d3LnczLm9yZy8yMDAwL3N2ZyI+CjxnIGNsaXAtcGF0aD0idXJsKCNjbGlwMF8xMTcxXzQ0MSkiPgo8cGF0aCBkPSJNMTcwLjI4MyA0OEgxOTYuNUMyMDMuMTI3IDQ4IDIwOC41IDQyLjYyNzQgMjA4LjUgMzZWMTJDMjA4LjUgNS4zNzI1OCAyMDMuMTI3IDAgMTk2LjUgMEgxNzAuMjgzQzEyNi4xIDAgOTAuMjgzIDM1LjgxNzIgOTAuMjgzIDgwVjE3NkM5MC4yODMgMjA2LjkyOCA2NS4yMTA5IDIzMiAzNC4yODMgMjMySDIzQzE2LjM3MjYgMjMyIDExIDIzNy4zNzIgMTEgMjQ0VjI2OEMxMSAyNzQuNjI3IDE2LjM3MjQgMjgwIDIyLjk5OTYgMjgwTDM0LjI4MyAyODBDNjUuMjEwOSAyODAgOTAuMjgzIDMwNS4wNzIgOTAuMjgzIDMzNlY0NDBDOTAuMjgzIDQ3OS43NjQgMTIyLjUxOCA1MTIgMTYyLjI4MyA1MTJIMTk2LjVDMjAzLjEyNyA1MTIgMjA4LjUgNTA2LjYyNyAyMDguNSA1MDBWNDc2QzIwOC41IDQ2OS4zNzMgMjAzLjEyNyA0NjQgMTk2LjUgNDY0SDE2Mi4yODNDMTQ5LjAyOCA0NjQgMTM4LjI4MyA0NTMuMjU1IDEzOC4yODMgNDQwVjMzNkMxMzguMjgzIDMwOS4wMjIgMTI4LjAxMSAyODQuNDQzIDExMS4xNjQgMjY1Ljk2MUMxMDYuMTA5IDI2MC40MTYgMTA2LjEwOSAyNTEuNTg0IDExMS4xNjQgMjQ2LjAzOUMxMjguMDExIDIyNy41NTcgMTM4LjI4MyAyMDIuOTc4IDEzOC4yODMgMTc2VjgwQzEzOC4yODMgNjIuMzI2OSAxNTIuNjEgNDggMTcwLjI4MyA0OFoiIGZpbGw9IiNGRjk5MjIiLz4KPHBhdGggZD0iTTMwNSAzNkMzMDUgNDIuNjI3NCAzMTAuMzczIDQ4IDMxNyA0OEgzNDIuOTc5QzM2MC42NTIgNDggMzc0Ljk3OCA2Mi4zMjY5IDM3NC45NzggODBWMTc2QzM3NC45NzggMjAyLjk3OCAzODUuMjUxIDIyNy41NTcgNDAyLjA5OCAyNDYuMDM5QzQwNy4xNTMgMjUxLjU4NCA0MDcuMTUzIDI2MC40MTYgNDAyLjA5OCAyNjUuOTYxQzM4NS4yNTEgMjg0LjQ0MyAzNzQuOTc4IDMwOS4wMjIgMzc0Ljk3OCAzMzZWNDMyQzM3NC45NzggNDQ5LjY3MyAzNjAuNjUyIDQ2NCAzNDIuOTc5IDQ2NEgzMTdDMzEwLjM3MyA0NjQgMzA1IDQ2OS4zNzMgMzA1IDQ3NlY1MDBDMzA1IDUwNi42MjcgMzEwLjM3MyA1MTIgMzE3IDUxMkgzNDIuOTc5QzM4Ny4xNjEgNTEyIDQyMi45NzggNDc2LjE4MyA0MjIuOTc4IDQzMlYzMzZDNDIyLjk3OCAzMDUuMDcyIDQ0OC4wNTEgMjgwIDQ3OC45NzkgMjgwSDQ5MEM0OTYuNjI3IDI4MCA1MDIgMjc0LjYyOCA1MDIgMjY4VjI0NEM1MDIgMjM3LjM3MyA0OTYuNjI4IDIzMiA0OTAgMjMyTDQ3OC45NzkgMjMyQzQ0OC4wNTEgMjMyIDQyMi45NzggMjA2LjkyOCA0MjIuOTc4IDE3NlY4MEM0MjIuOTc4IDM1LjgxNzIgMzg3LjE2MSAwIDM0Mi45NzkgMEgzMTdDMzEwLjM3MyAwIDMwNSA1LjM3MjU4IDMwNSAxMlYzNloiIGZpbGw9IiNGRjk5MjIiLz4KPC9nPgo8ZGVmcz4KPGNsaXBQYXRoIGlkPSJjbGlwMF8xMTcxXzQ0MSI+CjxyZWN0IHdpZHRoPSI1MTIiIGhlaWdodD0iNTEyIiBmaWxsPSJ3aGl0ZSIvPgo8L2NsaXBQYXRoPgo8L2RlZnM+Cjwvc3ZnPgo=" }, "displayName": "Code", "typeVersion": 2, "nodeCategories": [ { "id": 5, "name": "Development" }, { "id": 9, "name": "Core Nodes" } ] }, { "id": 839, "icon": "fa:clock", "name": "n8n-nodes-base.scheduleTrigger", "codex": { "data": { "alias": [ "Time", "Scheduler", "Polling", "Cron", "Interval" ], "resources": { "generic": [], "primaryDocumentation": [ { "url": "https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.scheduletrigger/" } ] }, "categories": [ "Core Nodes" ], "nodeVersion": "1.0", "codexVersion": "1.0" } }, "group": "[\"trigger\",\"schedule\"]", "defaults": { "name": "Schedule Trigger", "color": "#31C49F" }, "iconData": { "icon": "clock", "type": "icon" }, "displayName": "Schedule Trigger", "typeVersion": 1, "nodeCategories": [ { "id": 9, "name": "Core Nodes" } ] }, { "id": 1119, "icon": "fa:robot", "name": "@n8n/n8n-nodes-langchain.agent", "codex": { "data": { "alias": [ "LangChain", "Chat", "Conversational", "Plan and Execute", "ReAct", "Tools" ], "resources": { "primaryDocumentation": [ { "url": "https://docs.n8n.io/integrations/builtin/cluster-nodes/root-nodes/n8n-nodes-langchain.agent/" } ] }, "categories": [ "AI", "Langchain" ], "subcategories": { "AI": [ "Agents", "Root Nodes" ] } } }, "group": "[\"transform\"]", "defaults": { "name": "AI Agent", "color": "#404040" }, "iconData": { "icon": "robot", "type": "icon" }, "displayName": "AI Agent", "typeVersion": 3, "nodeCategories": [ { "id": 25, "name": "AI" }, { "id": 26, "name": "Langchain" } ] }, { "id": 1281, "icon": "file:openrouter.svg", "name": "@n8n/n8n-nodes-langchain.lmChatOpenRouter", "codex": { "data": { "resources": { "primaryDocumentation": [ { "url": "https://docs.n8n.io/integrations/builtin/cluster-nodes/sub-nodes/n8n-nodes-langchain.lmchatopenrouter/" } ] }, "categories": [ "AI", "Langchain" ], "subcategories": { "AI": [ "Language Models", "Root Nodes" ], "Language Models": [ "Chat Models (Recommended)" ] } } }, "group": "[\"transform\"]", "defaults": { "name": "OpenRouter Chat Model" }, "iconData": { "type": "file", "fileBuffer": "data:image/svg+xml;base64,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" }, "displayName": "OpenRouter Chat Model", "typeVersion": 1, "nodeCategories": [ { "id": 25, "name": "AI" }, { "id": 26, "name": "Langchain" } ] } ], "categories": [ { "id": 32, "name": "Market Research" }, { "id": 49, "name": "AI Summarization" } ], "image": [] } }