Decodo Instant Shopping Insights - Amazon Product Recommender
説明
Categories
📢 Marketing🤖 AI & Machine Learning
Nodes Used
n8n-nodes-base.ifn8n-nodes-base.setn8n-nodes-base.coden8n-nodes-base.coden8n-nodes-base.waitn8n-nodes-base.telegramn8n-nodes-base.telegramn8n-nodes-base.telegramn8n-nodes-base.telegramn8n-nodes-base.telegram
Price無料
Views1
最終更新2/3/2026
workflow.json
{
"id": "hKrx6Vbl4FlVrO0G",
"meta": {
"instanceId": "c2650793f644091dc80fb900fe63448ad1f4b774008de9608064d67294f8307c"
},
"name": "Decodo Instant Shopping Insights - Amazon Product Recommender",
"tags": [],
"nodes": [
{
"id": "27d87950-96a2-4fe5-9e42-ca1106a93831",
"name": "Telegram Trigger",
"type": "n8n-nodes-base.telegramTrigger",
"position": [
752,
528
],
"webhookId": "3c2e5166-ae50-4765-9e90-b6d9dc691e9a",
"parameters": {
"updates": [
"message"
],
"additionalFields": {}
},
"credentials": {
"telegramApi": {
"id": "QUapgouHFfRVQShy",
"name": "Piranusa_assistantbot"
}
},
"typeVersion": 1.2
},
{
"id": "f150d08d-0690-4980-9288-2b5ae06e61f4",
"name": "Error Trigger",
"type": "n8n-nodes-base.errorTrigger",
"position": [
768,
1024
],
"parameters": {},
"typeVersion": 1
},
{
"id": "624ba616-679c-4ede-822f-a2f83cc6a146",
"name": "Extract Chat & Query",
"type": "n8n-nodes-base.set",
"position": [
1536,
480
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "97558f42-95e0-4069-a0dd-797082ab30ca",
"name": "chatId",
"type": "string",
"value": "={{ $('Telegram Trigger').item.json.message.chat.id }}"
},
{
"id": "f5221be7-a62c-43dd-8753-72db6062d98b",
"name": "message",
"type": "string",
"value": "={{ $json.output.keyword.replaceAll(' ','+') }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "2f2cfc04-08d9-49f0-aa25-decbcef3db59",
"name": "Decodo API",
"type": "@decodo/n8n-nodes-decodo.decodo",
"position": [
1808,
480
],
"parameters": {
"url": "=https://www.amazon.com/s?k={{ $json.message }}",
"operation": "amazon"
},
"credentials": {
"decodoApi": {
"id": "um6rsqlbtrY3NRQB",
"name": "[email protected]"
}
},
"typeVersion": 1
},
{
"id": "252f89f4-54a2-4ea1-9ed4-92773c3d9b1b",
"name": "Process Product Data",
"type": "n8n-nodes-base.code",
"position": [
2000,
480
],
"parameters": {
"jsCode": "// Enhanced: Extract, Clean, and Format for AI with Sales Volume + CLEAN URLS\nconst inputData = $input.all();\nconst products = [];\n\n// Helper: Clean Amazon URL - remove UTM parameters\nfunction cleanAmazonURL(url) {\n if (!url) return '';\n \n // Remove everything after \"?\" (UTM parameters)\n const cleanUrl = url.split('?')[0];\n \n // Extract ASIN for shortest possible URL\n const asinMatch = cleanUrl.match(/\\/dp\\/([A-Z0-9]{10})/i) || \n cleanUrl.match(/\\/gp\\/product\\/([A-Z0-9]{10})/i) ||\n cleanUrl.match(/\\/([A-Z0-9]{10})\\//i);\n \n if (asinMatch) {\n return `https://www.amazon.com/dp/${asinMatch[1]}`;\n }\n \n // If no ASIN found, return cleaned URL without params\n return cleanUrl.startsWith('http') ? cleanUrl : `https://www.amazon.com${cleanUrl}`;\n}\n\n// Helper function to parse sales volume into numeric value for sorting\nfunction parseSalesVolume(salesText) {\n if (!salesText) return 0;\n \n const text = salesText.toLowerCase();\n \n // Extract number\n const match = text.match(/(\\d+\\.?\\d*)([km]?)\\+?/i);\n if (!match) return 0;\n \n let value = parseFloat(match[1]);\n const multiplier = match[2];\n \n // Apply multiplier\n if (multiplier === 'k') value *= 1000;\n if (multiplier === 'm') value *= 1000000;\n \n return Math.floor(value);\n}\n\n// Helper function to format sales volume for display\nfunction formatSalesVolume(salesText) {\n if (!salesText) return 'N/A';\n return salesText.replace(/bought in past month/gi, '').trim();\n}\n\n// Calculate product score (for smart ranking)\nfunction calculateProductScore(product, salesNumeric) {\n const rating = product.rating || 0;\n const reviews = product.reviews_count || 0;\n const discount = product.price_strikethrough ? \n ((product.price_strikethrough - product.price) / product.price_strikethrough) : 0;\n \n // Weighted scoring\n const ratingScore = rating * 20; // Max 100\n const reviewScore = Math.min(reviews / 100, 50); // Max 50\n const salesScore = Math.min(salesNumeric / 1000, 30); // Max 30\n const discountScore = discount * 20; // Max 20\n \n // Bonus for badges\n const badgeBonus = (product.is_amazons_choice ? 10 : 0) + \n (product.best_seller ? 10 : 0);\n \n return ratingScore + reviewScore + salesScore + discountScore + badgeBonus;\n}\n\n// Extract all products\nfor (const item of inputData) {\n const results = item.json.results?.[0]?.content?.results?.results;\n if (!results) continue;\n \n // Combine paid and organic products\n const allProducts = [\n ...(results.paid || []),\n ...(results.organic || []),\n ...(results.amazons_choices || [])\n ];\n \n allProducts.forEach(p => {\n // Skip if missing critical data\n if (!p.title || !p.price) return;\n \n const salesVolume = parseSalesVolume(p.sales_volume);\n \n products.push({\n title: p.title,\n price: p.price,\n original_price: p.price_strikethrough || null,\n rating: p.rating || 0,\n reviews: p.reviews_count || 0,\n \n // Sales data\n sales_volume_raw: p.sales_volume || 'N/A',\n sales_volume_display: formatSalesVolume(p.sales_volume),\n sales_volume_numeric: salesVolume,\n \n // Discount calculation\n discount: p.price_strikethrough ? \n Math.round(((p.price_strikethrough - p.price) / p.price_strikethrough) * 100) : 0,\n savings: p.price_strikethrough ? \n (p.price_strikethrough - p.price).toFixed(2) : 0,\n \n // CLEAN URL - remove UTM parameters and extract ASIN\n url: cleanAmazonURL(p.url?.startsWith('http') ? p.url : `https://www.amazon.com${p.url}`),\n \n // Badges\n is_amazons_choice: p.is_amazons_choice || false,\n is_bestseller: p.best_seller || false,\n is_sponsored: p.is_sponsored || false,\n \n // Image\n image: p.url_image || null,\n \n // Manufacturer\n brand: p.manufacturer || 'Generic',\n \n // Shipping\n shipping: p.shipping_information || 'See Amazon',\n \n // Calculated score for ranking (weighted)\n score: calculateProductScore(p, salesVolume)\n });\n });\n}\n\n// Remove duplicates (same ASIN)\nconst uniqueProducts = products.reduce((acc, product) => {\n const exists = acc.find(p => p.title === product.title && p.price === product.price);\n if (!exists) acc.push(product);\n return acc;\n}, []);\n\n// Sort by calculated score (best overall value)\nuniqueProducts.sort((a, b) => b.score - a.score);\n\n// Get query\nconst query = $('Extract Chat & Query').first().json.message.replaceAll('+', ' ');\n\n// Calculate statistics\nconst avgPrice = uniqueProducts.reduce((sum, p) => sum + p.price, 0) / uniqueProducts.length;\nconst avgRating = uniqueProducts.reduce((sum, p) => sum + p.rating, 0) / uniqueProducts.length;\nconst totalSales = uniqueProducts.reduce((sum, p) => sum + p.sales_volume_numeric, 0);\n\n// Create AI-ready output with enhanced categorization\nreturn [{\n json: {\n query: query,\n total: uniqueProducts.length,\n \n // Statistics\n stats: {\n avg_price: avgPrice.toFixed(2),\n min_price: Math.min(...uniqueProducts.map(p => p.price)),\n max_price: Math.max(...uniqueProducts.map(p => p.price)),\n avg_rating: avgRating.toFixed(2),\n total_reviews: uniqueProducts.reduce((sum, p) => sum + p.reviews, 0),\n total_sales: totalSales\n },\n \n // Top picks (by overall score)\n top_picks: uniqueProducts.slice(0, 10).map(p => ({\n title: p.title,\n price: p.price,\n rating: p.rating,\n reviews: p.reviews,\n sales: p.sales_volume_display,\n discount: p.discount > 0 ? `${p.discount}% off` : null,\n badges: {\n choice: p.is_amazons_choice,\n bestseller: p.is_bestseller\n },\n url: p.url // Already cleaned by cleanAmazonURL function\n })),\n \n // Budget options (under $30, sorted by rating)\n budget_options: uniqueProducts\n .filter(p => p.price < 30)\n .sort((a, b) => b.rating - a.rating || b.reviews - a.reviews)\n .slice(0, 5)\n .map(p => ({\n title: p.title,\n price: p.price,\n rating: p.rating,\n reviews: p.reviews,\n sales: p.sales_volume_display,\n url: p.url\n })),\n \n // Premium options ($50+, sorted by rating)\n premium_options: uniqueProducts\n .filter(p => p.price >= 50)\n .sort((a, b) => b.rating - a.rating)\n .slice(0, 5)\n .map(p => ({\n title: p.title,\n price: p.price,\n rating: p.rating,\n reviews: p.reviews,\n sales: p.sales_volume_display,\n url: p.url\n })),\n \n // Best rated (4.5+ stars, sorted by reviews)\n best_rated: uniqueProducts\n .filter(p => p.rating >= 4.5)\n .sort((a, b) => b.reviews - a.reviews)\n .slice(0, 5)\n .map(p => ({\n title: p.title,\n price: p.price,\n rating: p.rating,\n reviews: p.reviews,\n sales: p.sales_volume_display,\n url: p.url\n })),\n \n // Best value (highest discount with good rating)\n best_value: uniqueProducts\n .filter(p => p.discount > 0 && p.rating >= 4.0)\n .sort((a, b) => b.discount - a.discount)\n .slice(0, 5)\n .map(p => ({\n title: p.title,\n price: p.price,\n original_price: p.original_price,\n discount: `${p.discount}%`,\n savings: `$${p.savings}`,\n rating: p.rating,\n reviews: p.reviews,\n url: p.url\n })),\n \n // Most popular (by sales volume)\n most_popular: uniqueProducts\n .filter(p => p.sales_volume_numeric > 0)\n .sort((a, b) => b.sales_volume_numeric - a.sales_volume_numeric)\n .slice(0, 5)\n .map(p => ({\n title: p.title,\n price: p.price,\n rating: p.rating,\n sales: p.sales_volume_display,\n sales_count: p.sales_volume_numeric,\n url: p.url\n })),\n \n // Amazon's Choice products\n amazons_choice: uniqueProducts\n .filter(p => p.is_amazons_choice)\n .slice(0, 3)\n .map(p => ({\n title: p.title,\n price: p.price,\n rating: p.rating,\n reviews: p.reviews,\n sales: p.sales_volume_display,\n url: p.url\n })),\n \n // All products (for reference)\n all_products: uniqueProducts\n }\n}];"
},
"typeVersion": 2
},
{
"id": "ad548326-555c-41e0-b406-5a6cce340b84",
"name": "Generate Recommendations",
"type": "@n8n/n8n-nodes-langchain.chainLlm",
"position": [
2224,
480
],
"parameters": {
"text": "=You are a product recommendation expert analyzing {{ $json.query }}.\n\nAVAILABLE DATA:\n- Total Products: {{ $json.total }}\n- Price Range: ${{ $json.stats.min_price }} - ${{ $json.stats.max_price }} (avg: ${{ $json.stats.avg_price }})\n- Average Rating: {{ $json.stats.avg_rating }}/5\n- Total Reviews: {{ $json.stats.total_reviews }}\n\nCATEGORIES:\n- Top Picks: {{ $json.top_picks.length }}\n- Budget (<$30): {{ $json.budget_options.length }}\n- Premium ($50+): {{ $json.premium_options.length }}\n- Best Value: {{ $json.best_value.length }}\n- Most Popular: {{ $json.most_popular.length }}\n\nCRITICAL RULES:\n1. MAX 2500 characters\n2. Use TELEGRAM MARKDOWN (legacy):\n - *bold* for headers only\n - No special escaping needed\n - Plain URLs on new lines\n3. SHORTEN product names to max 50 chars\n4. Each product MUST include its Amazon URL\n5. Be DYNAMIC - adapt language to product type\n6. VARIED symbols: 💵📊🔥💰⚡🎒📱🍎✓\n\nOUTPUT FORMAT:\n\n*🏆 TOP 3 PICKS*\n\n*1. [Short Product Name]*\n💵 $[XX] | 📊 [X.X]/5 ([XX]K reviews) | 🔥 [Sales]\n✓ [Key unique feature in 5-8 words]\n✓ [Value reason in 10-15 words]\n🔗 [Full Amazon URL]\n\n*2. [Short Product Name]*\n💵 $[XX] | 📊 [X.X]/5 ([XX]K reviews) | 🔥 [Sales]\n✓ [Key unique feature in 5-8 words]\n✓ [Value reason in 10-15 words]\n🔗 [Full Amazon URL]\n\n*3. [Short Product Name]*\n💵 $[XX] | 📊 [X.X]/5 ([XX]K reviews) | 🔥 [Sales]\n✓ [Key unique feature in 5-8 words]\n✓ [Value reason in 10-15 words]\n🔗 [Full Amazon URL]\n\n━━━━━━━━━━━━━━\n\n*💰 BEST BUDGET*\n[Product Name - shortened]\n💵 $[XX] (was $[Original]) | 📊 [X.X]/5 | 💰 Save $[XX]\nPerfect for: [User type in 8-12 words]\nTrade-off: [What's missing vs premium in 6-10 words]\n🔗 [Full Amazon URL]\n\n*💎 BEST PREMIUM*\n[Product Name - shortened]\n💵 $[XX] | 📊 [X.X]/5 ([XX] reviews)\nWorth it: [Premium features in 12-15 words]\nBest for: [Specific user scenario in 8-10 words]\n🔗 [Full Amazon URL]\n\n━━━━━━━━━━━━━━\n\n*📊 QUICK STATS*\n\n💸 Cheapest: [Name] - $[XX]\n⭐ Top Rated: [Name] - [X.X]/5\n🔥 Most Popular: [Name] - [Sales]\n💰 Best Deal: [Name] - [XX]% off\n\n━━━━━━━━━━━━━━\n\n*🎯 PICK BY NEED*\n\n⚡ [Primary feature need] → [Product]\n🔗 [URL]\n\n🎒 [Secondary feature need] → [Product]\n🔗 [URL]\n\n📱 [Third feature need] → [Product]\n🔗 [URL]\n\n💵 Best Value → [Product]\n🔗 [URL]\n\n━━━━━━━━━━━━━━\n\nDYNAMIC LANGUAGE RULES:\n- For electronics: mention wattage, ports, compatibility\n- For accessories: mention material, compatibility, durability\n- For apparel: mention fit, material, style\n- For home goods: mention size, material, features\n- Adapt \"need\" categories to product type\n- Use product-specific terminology\n\nFORMATTING CHECKLIST:\n✓ Product names shortened to 50 chars max\n✓ Every product has Amazon URL with 🔗\n✓ Use *bold* only for section headers\n✓ Plain text for everything else\n✓ URLs on separate lines after product\n✓ Real data from JSON (prices, ratings, reviews, sales)\n✓ Specific features, not generic \"high quality\"\n✓ Total output under 2500 characters\n\nEXTRACT FROM DATA:\n- Use {{ $json.top_picks[0].title }} for product names\n- Use {{ $json.top_picks[0].url }} for Amazon links\n- Use {{ $json.top_picks[0].price }} for prices\n- Use {{ $json.top_picks[0].rating }} for ratings\n- Use {{ $json.top_picks[0].reviews }} for review counts\n- Use {{ $json.top_picks[0].sales }} for sales volume\n\nStart writing now. Be concise, specific, and dynamic!",
"batching": {},
"promptType": "define"
},
"typeVersion": 1.7
},
{
"id": "50f0c091-0af8-4256-8431-795e9cc17ce6",
"name": "Send Final Response",
"type": "n8n-nodes-base.telegram",
"position": [
2576,
480
],
"webhookId": "2cb3ea86-e1ec-430c-9267-13a5a79eaf40",
"parameters": {
"text": "={{ $json.text }}",
"chatId": "={{ $('Extract Chat & Query').item.json.chatId }}",
"additionalFields": {
"parse_mode": "Markdown"
}
},
"credentials": {
"telegramApi": {
"id": "QUapgouHFfRVQShy",
"name": "Piranusa_assistantbot"
}
},
"typeVersion": 1.2
},
{
"id": "9208513e-437e-4274-8715-87cb477323cf",
"name": "Validate Product Input",
"type": "@n8n/n8n-nodes-langchain.chainLlm",
"position": [
928,
528
],
"parameters": {
"text": "={{ $json.message.text }}",
"batching": {},
"messages": {
"messageValues": [
{
"message": "=You are a product validator. \nCheck if the user input contains a valid product name. \n- If the input is ambiguous or includes extra descriptive words (e.g. color, speed, or adjectives), extract only the **core product name**. \n- If there is no identifiable product, mark it as invalid. \n\nExample: \nInput: \"I want a blue fast charging iPhone 11 256GB\" \nOutput: \n{\n \"keyword\": \"iPhone 11 256GB\",\n \"status\": \"VALID\"\n}\n\nExample: \nInput: \"I want something nice\" \nOutput: \n{\n \"keyword\": \"\",\n \"status\": \"INVALID\"\n}\n\nReturn the result **exactly** in this JSON structure:\n{\n \"keyword\": \"<product_name_or_empty>\",\n \"status\": \"VALID\" or \"INVALID\"\n}\n"
}
]
},
"promptType": "define",
"hasOutputParser": true
},
"typeVersion": 1.7
},
{
"id": "02a37df9-d6ff-434e-843d-933ad2bdd6c5",
"name": "Parse Validation Output",
"type": "@n8n/n8n-nodes-langchain.outputParserStructured",
"position": [
1072,
688
],
"parameters": {
"jsonSchemaExample": "{\n \"keyword\": \"<product_name_or_empty>\",\n \"status\": \"VALID or INVALID\"\n}"
},
"typeVersion": 1.3
},
{
"id": "116fcd7b-6fa1-44e4-bb30-05d6a45a1ce1",
"name": "Check Product Validity",
"type": "n8n-nodes-base.if",
"position": [
1280,
528
],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "1753216c-c3c5-4617-a940-f5049cf2679e",
"operator": {
"name": "filter.operator.equals",
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $json.output.status }}",
"rightValue": "=VALID"
}
]
}
},
"typeVersion": 2.2
},
{
"id": "16886532-c324-4c53-9341-6d3484ca2ec9",
"name": "Send Invalid Message",
"type": "n8n-nodes-base.telegram",
"position": [
1536,
672
],
"webhookId": "2cb3ea86-e1ec-430c-9267-13a5a79eaf40",
"parameters": {
"text": "=no product detected on your input, please try again",
"chatId": "={{ $('Telegram Trigger').item.json.message.chat.id }}",
"additionalFields": {
"parse_mode": "Markdown",
"appendAttribution": false
}
},
"credentials": {
"telegramApi": {
"id": "QUapgouHFfRVQShy",
"name": "Piranusa_assistantbot"
}
},
"typeVersion": 1.2
},
{
"id": "4c71756c-42d1-436b-8583-2aa39e20376d",
"name": "Send Processing Status",
"type": "n8n-nodes-base.telegram",
"position": [
1168,
352
],
"webhookId": "2cb3ea86-e1ec-430c-9267-13a5a79eaf40",
"parameters": {
"text": "=Processing your input...",
"chatId": "={{ $('Telegram Trigger').item.json.message.chat.id }}",
"additionalFields": {
"parse_mode": "Markdown",
"appendAttribution": false
}
},
"credentials": {
"telegramApi": {
"id": "QUapgouHFfRVQShy",
"name": "Piranusa_assistantbot"
}
},
"typeVersion": 1.2
},
{
"id": "f913fe74-be48-4a9a-8f04-0f7cf536f5c3",
"name": "Send Valid Confirmation",
"type": "n8n-nodes-base.telegram",
"position": [
1536,
288
],
"webhookId": "2cb3ea86-e1ec-430c-9267-13a5a79eaf40",
"parameters": {
"text": "=Input <b>Valid</b> | keyword: <b>{{ $json.output.keyword }}</b>\n\n<i>processing your request...</i>",
"chatId": "={{ $('Telegram Trigger').item.json.message.chat.id }}",
"additionalFields": {
"parse_mode": "HTML",
"appendAttribution": false
}
},
"credentials": {
"telegramApi": {
"id": "QUapgouHFfRVQShy",
"name": "Piranusa_assistantbot"
}
},
"typeVersion": 1.2
},
{
"id": "636f1157-1f2a-44d8-b6c7-8e6cb4aea604",
"name": "Gemini 2.5 Flash",
"type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
"position": [
2368,
640
],
"parameters": {
"options": {}
},
"credentials": {
"googlePalmApi": {
"id": "KMIkjDkgwnQFlQ9j",
"name": "dev.uratalier"
}
},
"typeVersion": 1
},
{
"id": "07556ea8-f88a-4720-84b2-cfbc651c9a05",
"name": "Give Delay",
"type": "n8n-nodes-base.wait",
"position": [
976,
352
],
"webhookId": "02c14419-de38-4993-bc63-8d68dc734828",
"parameters": {
"amount": 2
},
"typeVersion": 1.1
},
{
"id": "fd75b467-fc1f-4389-a169-4dee1e67c218",
"name": "Format Error Notification",
"type": "n8n-nodes-base.code",
"position": [
992,
1024
],
"parameters": {
"jsCode": "// Optimized error handler - clean & informative\nconst errorData = $input.first().json;\n\nfunction getNestedValue(obj, path, defaultValue = 'Unknown') {\n return path.split('.').reduce((curr, prop) => \n curr?.[prop], obj) || defaultValue;\n}\n\nconst workflowName = getNestedValue(errorData, 'workflow.name', 'Unknown Workflow');\nconst nodeName = getNestedValue(errorData, 'execution.error.node.name', 'Unknown Node');\nconst errorMessage = getNestedValue(errorData, 'execution.error.message', 'No error message');\nconst timestamp = getNestedValue(errorData, 'execution.startedAt', new Date().toISOString());\nconst executionId = getNestedValue(errorData, 'execution.id', 'Unknown');\n\n// Tangkap error details\nconst errorObj = errorData.execution?.error || {};\nconst errorDescription = errorObj.description || '';\nconst errorHttpCode = errorObj.httpCode || '';\n\n// Stack trace - ambil HANYA baris pertama yang paling penting\nconst errorStack = errorObj.stack || '';\nconst mainError = errorStack.split('\\n')[0] || '';\n\n// Format detail yang clean\nlet errorDetails = [];\nif (errorDescription && errorDescription !== errorMessage) {\n errorDetails.push(errorDescription);\n}\nif (errorHttpCode) {\n errorDetails.push(`HTTP ${errorHttpCode}`);\n}\n\nconst detailText = errorDetails.length > 0 \n ? errorDetails.join(' | ') \n : 'No additional details';\n\n// Main error dari stack (tanpa \"NodeApiError: \" prefix)\nconst cleanMainError = mainError.replace(/^(NodeApiError|Error):\\s*/, '').trim();\n\n// Build message - COMPACT VERSION\nconst message = `🚨 <b>WORKFLOW ERROR</b>\\n\\n` +\n `📋 <b>${workflowName}</b>\\n` +\n `⚙️ Node: <code>${nodeName}</code>\\n\\n` +\n `❌ <b>${errorMessage}</b>\\n` +\n `💡 ${detailText}\\n\\n` +\n `🕐 ${new Date(timestamp).toLocaleString('id-ID', { \n day: '2-digit', \n month: 'short', \n hour: '2-digit', \n minute: '2-digit' \n })}\\n` +\n `🔗 Exec: <code>${executionId}</code>`;\n\nreturn {\n json: {\n message: message\n }\n};"
},
"typeVersion": 2
},
{
"id": "2cca63a2-4999-48c6-8f7b-c8871a8a9ccb",
"name": "Notify Admin",
"type": "n8n-nodes-base.telegram",
"position": [
1216,
1024
],
"webhookId": "13c616bf-a3ad-4035-998a-1dfe6021b89f",
"parameters": {
"text": "={{ $json.message }}",
"chatId": "YOUR-CHAT-ID",
"additionalFields": {
"parse_mode": "HTML"
}
},
"credentials": {
"telegramApi": {
"id": "xFZJ5T4Mt6or4Fui",
"name": "Khairunnisa Money BOT"
}
},
"typeVersion": 1
},
{
"id": "f6a35c5d-e285-43e2-af4a-62d890977c1c",
"name": "Sticky Note2",
"type": "n8n-nodes-base.stickyNote",
"position": [
1440,
896
],
"parameters": {
"color": 7,
"width": 496,
"height": 288,
"content": "## DECODO CREDENTIALS SETUP\n\n1. Go to: https://decodo.com\n2. Sign up / Login\n3. Navigate to: **Dashboard → Scraping APIs → Web Advanced**\n4. Click: **BASIC AUTH. TOKEN** (Automated copy)\n\n**In n8n:**\n- Go to: Credentials → Add Credential\n- Search: \"Decodo\"\n- Paste API key → Save"
},
"typeVersion": 1
},
{
"id": "0b0e83e4-8a0b-4c8e-a49f-4038fddbb092",
"name": "Sticky Note3",
"type": "n8n-nodes-base.stickyNote",
"position": [
720,
896
],
"parameters": {
"color": 3,
"width": 688,
"height": 288,
"content": "## Error Handling\n\nCatches workflow failures, formats error details, sends Telegram alerts to admin."
},
"typeVersion": 1
},
{
"id": "ee7dadc9-d140-4d2f-8473-ce3114526735",
"name": "Sticky Note",
"type": "n8n-nodes-base.stickyNote",
"position": [
1760,
416
],
"parameters": {
"color": 5,
"width": 1024,
"height": 368,
"content": "## Process Data"
},
"typeVersion": 1
},
{
"id": "3d4464c7-2f04-4093-ab3d-5752cead363d",
"name": "Sticky Note1",
"type": "n8n-nodes-base.stickyNote",
"position": [
160,
240
],
"parameters": {
"width": 500,
"height": 622,
"content": "## Decodo Instant Amazon Recommender\n\n### How it works\n1. User sends a product query in Telegram; an LLM validates the input and confirms a clean search keyword.\n2. The workflow calls Decodo to scrape Amazon search results for the validated query.\n3. A processing step cleans URLs, parses sales volume, removes duplicates, computes scores, and groups products into categories (top picks, budget, premium, best value).\n4. An LLM composes a Telegram-ready recommendation (top 3 picks, budget/premium highlights, quick stats, pick-by-need) following formatting rules.\n5. The workflow returns the formatted recommendation to the user; failures generate an admin alert via Telegram.\n\n### Setup\n- [ ] Connect your Telegram bot credential to the workflow\n- [ ] Add and verify your Decodo API key in n8n credentials\n- [ ] Add LLM credentials (LangChain/Gemini/OpenAI) used for validation and message generation\n- [ ] Set the Telegram webhook so the bot forwards messages to this workflow\n- [ ] Configure an admin Telegram chat ID to receive error notifications\n- [ ] (Optional) Adjust ranking thresholds or scoring logic in the product processing code to tune recommendations\n"
},
"typeVersion": 1
},
{
"id": "2ea0f5fe-02a5-43a8-9bc9-3f087bd3a52f",
"name": "Sticky Note4",
"type": "n8n-nodes-base.stickyNote",
"position": [
880,
256
],
"parameters": {
"color": 5,
"width": 544,
"height": 576,
"content": "## Validate Input"
},
"typeVersion": 1
}
],
"active": false,
"pinData": {},
"settings": {
"executionOrder": "v1"
},
"versionId": "cf1555ce-e5cf-4e0e-a4e4-cd1beb01b5d0",
"connections": {
"Decodo API": {
"main": [
[
{
"node": "Process Product Data",
"type": "main",
"index": 0
}
]
]
},
"Give Delay": {
"main": [
[
{
"node": "Send Processing Status",
"type": "main",
"index": 0
}
]
]
},
"Error Trigger": {
"main": [
[
{
"node": "Format Error Notification",
"type": "main",
"index": 0
}
]
]
},
"Gemini 2.5 Flash": {
"ai_languageModel": [
[
{
"node": "Generate Recommendations",
"type": "ai_languageModel",
"index": 0
},
{
"node": "Validate Product Input",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Telegram Trigger": {
"main": [
[
{
"node": "Validate Product Input",
"type": "main",
"index": 0
},
{
"node": "Give Delay",
"type": "main",
"index": 0
}
]
]
},
"Extract Chat & Query": {
"main": [
[
{
"node": "Decodo API",
"type": "main",
"index": 0
}
]
]
},
"Process Product Data": {
"main": [
[
{
"node": "Generate Recommendations",
"type": "main",
"index": 0
}
]
]
},
"Check Product Validity": {
"main": [
[
{
"node": "Extract Chat & Query",
"type": "main",
"index": 0
},
{
"node": "Send Valid Confirmation",
"type": "main",
"index": 0
}
],
[
{
"node": "Send Invalid Message",
"type": "main",
"index": 0
}
]
]
},
"Validate Product Input": {
"main": [
[
{
"node": "Check Product Validity",
"type": "main",
"index": 0
}
]
]
},
"Parse Validation Output": {
"ai_outputParser": [
[
{
"node": "Validate Product Input",
"type": "ai_outputParser",
"index": 0
}
]
]
},
"Generate Recommendations": {
"main": [
[
{
"node": "Send Final Response",
"type": "main",
"index": 0
}
]
]
},
"Format Error Notification": {
"main": [
[
{
"node": "Notify Admin",
"type": "main",
"index": 0
}
]
]
}
}
}