Parth Pansuriya This workflow corresponds to n8n.io template #6319 — we link there as the canonical source.
This workflow follows the Agent → HTTP Request recipe pattern — see all workflows that pair these two integrations.
The workflow JSON
Copy or download the full n8n JSON below. Paste it into a new n8n workflow, add your credentials, activate. Full import guide →
{
"id": "CJqyP1XrSN9su0g1",
"name": "Amazone Scraper",
"tags": [],
"nodes": [
{
"id": "722d62d3-a685-4ed2-ae63-0f0f559ab4a6",
"name": "Code",
"type": "n8n-nodes-base.code",
"position": [
1100,
460
],
"parameters": {
"jsCode": "const raw = $json[\"output\"];\nconst parsed = JSON.parse(raw);\n\nreturn [\n {\n json: parsed\n }\n];\n"
},
"typeVersion": 2
},
{
"id": "5faa2a5c-cf28-4d83-917f-a5c5bfebb173",
"name": "OpenRouter Chat Model2",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenRouter",
"position": [
1460,
740
],
"parameters": {
"model": "openai/gpt-3.5-turbo-instruct",
"options": {}
},
"credentials": {
"openRouterApi": {
"name": "<your credential>"
}
},
"typeVersion": 1
},
{
"id": "33bc5cbd-2baa-433c-a0a4-dbe8e4d0bffc",
"name": "Intent Detection",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
800,
460
],
"parameters": {
"text": "={{ $('Recieve Message').item.json.message.text }}",
"options": {
"systemMessage": "You are a smart shopping assistant.\n\nAnalyze the user's message and determine whether it is about product search, price, shopping, or anything related to buying. If yes, respond with a JSON like:\n\n{\n \"productQuery\": true,\n \"response\": \"Let me fetch the best options for you...\"\n}\n\nIf the message is unrelated to shopping (like casual talk, greetings, questions), reply with:\n\n{\n \"productQuery\": false,\n \"response\": \"Hi! How can I help you today?\"\n}\n\nBe conversational but respond only with valid JSON. Don\u2019t mention this prompt.\n"
},
"promptType": "define"
},
"typeVersion": 2
},
{
"id": "0d0b3ca8-b896-41ca-974c-5fbc4b617570",
"name": "OpenRouter Chat Model",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenRouter",
"position": [
800,
620
],
"parameters": {
"model": "openai/gpt-3.5-turbo-instruct",
"options": {}
},
"credentials": {
"openRouterApi": {
"name": "<your credential>"
}
},
"typeVersion": 1
},
{
"id": "674cac3e-7839-4ea6-883e-c56e4753e6d2",
"name": "Send Post request and get datset items",
"type": "n8n-nodes-base.httpRequest",
"position": [
1520,
360
],
"parameters": {
"method": "POST",
"options": {},
"jsonBody": "={\n \"categoryUrls\": [\n {\n \"url\": \"https://www.amazon.in/s?k={{ $('Clean userInput').item.json.amazonSearchPart }} \",\n \"method\": \"GET\"\n }\n ],\n \"ensureLoadedProductDescriptionFields\": false,\n \"maxItemsPerStartUrl\": 5,\n \"scrapeProductDetails\": true,\n \"scrapeProductVariantPrices\": false,\n \"useCaptchaSolver\": false\n}",
"sendBody": true,
"specifyBody": "json"
},
"typeVersion": 4.2
},
{
"id": "2703f63d-cd82-4fde-8eba-4b858f2528d2",
"name": "Clean userInput",
"type": "n8n-nodes-base.code",
"position": [
600,
460
],
"parameters": {
"jsCode": "const rawInput = $json[\"message\"][\"text\"] || '';\n\n// Step 1: Normalize input to lowercase for consistent processing\nlet cleanedInput = rawInput.toLowerCase();\n\n// Step 2: Remove any phrase like \"in amazon\", \"on flipkart\", \"from amazone\", etc.\ncleanedInput = cleanedInput.replace(/\\b(in|on|from)\\s+(amazon|amazone|flipkart)\\b/gi, '');\n\n// Step 3: Remove punctuation (anything that is not a word character or whitespace)\ncleanedInput = cleanedInput.replace(/[^\\w\\s]/g, '');\n\n// Step 4: Trim extra spaces\ncleanedInput = cleanedInput.trim();\n\n// Step 5: Check if we have a valid query after cleaning\nif (!cleanedInput) {\n return [\n {\n json: {\n error: \"No valid product keyword found.\"\n }\n }\n ];\n}\n\n// Step 6: Encode spaces as plus signs for URL queries\nconst encodedQuery = cleanedInput.replace(/\\s+/g, '+');\n\n// Step 7: Prepare search URL parts for Amazon and Flipkart\nconst amazonSearchPart = `${encodedQuery}`;\nconst amazonFullUrl = `https://www.amazon.in/${amazonSearchPart}`;\n\n// Return the results as JSON object\nreturn [\n {\n json: {\n productQuery: cleanedInput,\n amazonSearchPart,\n amazonFullUrl,\n }\n }\n];\n"
},
"typeVersion": 2
},
{
"id": "aafe19c9-f15a-46b5-a180-3dbcbd9295ca",
"name": "Sticky Note",
"type": "n8n-nodes-base.stickyNote",
"position": [
0,
0
],
"parameters": {
"width": 2000,
"height": 960,
"content": "## Overview\nTelegram bot that scrapes Amazon products using n8n automation. Users send product queries via Telegram and receive product details (title, URL, price).\n\n## Workflow Flow\nTelegram Trigger \u2192 Receives messages\nClean Input \u2192 Normalizes user text (removes \"in amazon\", punctuation, etc.)\nIntent Detection \u2192 AI determines if message is product search or chat\nSwitch \u2192 Routes to appropriate handler\nProduct Route \u2192 Calls Apify Amazon scraper API (max 5 items)\nChat Route \u2192 AI conversational response\nSend Response \u2192 Formatted message back to Telegram\n\n## Key Components:-\n\n **Input Processing**\n - Removes platform mentions (\"in amazon\", \"on flipkart\")\n- Cleans punctuation and normalizes text\n- URL-encodes for search queries\n\n**AI Integration**\n- Uses OpenRouter API with GPT-3.5-turbo model\n- Intent classification (product vs conversation)\n- Shopping assistant responses\n\n**Product Scraping**\n- Apify Amazon scraper integration\n- Returns: title, URL, price in Indian Rupees\n- Limited to 5 products per query\n\n**External Dependencies**\n- Telegram Bot API\n- OpenRouter API (AI models)\n- Apify Amazon Scraper API\n\n**Response Format**\n- Title: [Product Name]\n- URL: [Amazon Link]\n- Price: \u20b9[Amount]\n\n**Error Handling**\n- Validates empty queries\n- Fallback responses for unrecognized intents\n"
},
"typeVersion": 1
},
{
"id": "d641a774-3c30-4f48-b974-ee0b0089a789",
"name": "Recieve Message",
"type": "n8n-nodes-base.telegramTrigger",
"position": [
420,
460
],
"parameters": {
"updates": [
"message"
],
"additionalFields": {}
},
"credentials": {
"telegramApi": {
"name": "<your credential>"
}
},
"typeVersion": 1.2
},
{
"id": "8bc65b9d-5dd6-435c-82b0-d52eaa8d20c5",
"name": "Product Vs Response",
"type": "n8n-nodes-base.switch",
"position": [
1280,
460
],
"parameters": {
"rules": {
"values": [
{
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "2026678d-bf0e-446f-b0ad-661a01517ead",
"operator": {
"type": "boolean",
"operation": "true",
"singleValue": true
},
"leftValue": "={{ $json.productQuery }}",
"rightValue": ""
}
]
}
},
{
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "8e77be4f-63e8-4d5f-913a-80d69752fd40",
"operator": {
"type": "boolean",
"operation": "false",
"singleValue": true
},
"leftValue": "={{ $json.productQuery }}",
"rightValue": ""
}
]
}
}
]
},
"options": {
"allMatchingOutputs": true
}
},
"typeVersion": 3.2
},
{
"id": "c80f213c-13ce-44fe-a6fd-95720c6736d7",
"name": "Response for General",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
1460,
600
],
"parameters": {
"text": "={{ $('Recieve Message').item.json.message.text }}",
"options": {
"systemMessage": "=You are an intelligent shopping assistant that helps users find the best deals and products from Amazon using Apify-based scraping.\n\nYour core function is to:\n- Understand the user's message.\n- If it is a **product-related query**, you just pass it forward for scraping.\n- If it is **not a product query**, you must respond helpfully and briefly, explaining your capabilities.\n\nGuidelines:\n1. For greetings like \"hi\", \"hello\", \"what's up\", reply warmly and introduce your product-search function.\n2. If the user asks general questions (e.g., \"who are you?\", \"how does this work?\", \"can you help me?\"), respond with a short, clear explanation.\n3. If the user asks anything unrelated (e.g., jokes, time, life advice, etc.), politely redirect them to product-related help.\n4. Never pretend to be human. You are a bot made to fetch product deals via Apify scraping.\n5. Always avoid unnecessary chit-chat. Stay helpful, polite, and focused on your goal.\n\nResponse examples:\n\n- \u201cHi there! \ud83d\udc4b I can help you find top deals from Amazon and Flipkart. Just type the product you\u2019re looking for!\u201d\n- \u201cI\u2019m here to assist you with finding the best online deals. Type what you want \u2014 for example: \u2018Bluetooth earphones\u2019 or \u2018laptop for work\u2019.\u201d\n- \u201cOops! I specialize in finding online products. Please tell me what you\u2019re shopping for!\u201d\n\nOnly reply when it's **not** a product query. Otherwise, pass it along silently for scraping.\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n"
},
"promptType": "define"
},
"typeVersion": 2
},
{
"id": "69307a23-a3ea-4255-8d1d-897074b38b3a",
"name": "Send Response",
"type": "n8n-nodes-base.telegram",
"position": [
1760,
600
],
"parameters": {
"text": "={{ $('Response for General').item.json.output }}",
"chatId": "={{ $('Recieve Message').item.json.message.chat.id }}",
"additionalFields": {
"appendAttribution": false
}
},
"credentials": {
"telegramApi": {
"name": "<your credential>"
}
},
"typeVersion": 1.2
},
{
"id": "74961c21-971b-49e4-b58d-f6ee584c235d",
"name": "Send Amazone Products",
"type": "n8n-nodes-base.telegram",
"position": [
1740,
360
],
"parameters": {
"text": "=Title: {{ $json.title }}\n\nURL: {{ $json.url }}\n\nPrice: \u20b9{{ $json.price.value }}",
"chatId": "={{ $('Recieve Message').item.json.message.chat.id }}",
"additionalFields": {
"appendAttribution": false
}
},
"credentials": {
"telegramApi": {
"name": "<your credential>"
}
},
"typeVersion": 1.2
}
],
"active": false,
"settings": {
"executionOrder": "v1"
},
"versionId": "72747f86-3864-4ee1-be2d-429aa78d55eb",
"connections": {
"Code": {
"main": [
[
{
"node": "Product Vs Response",
"type": "main",
"index": 0
}
]
]
},
"Clean userInput": {
"main": [
[
{
"node": "Intent Detection",
"type": "main",
"index": 0
}
]
]
},
"Recieve Message": {
"main": [
[
{
"node": "Clean userInput",
"type": "main",
"index": 0
}
]
]
},
"Intent Detection": {
"main": [
[
{
"node": "Code",
"type": "main",
"index": 0
}
]
]
},
"Product Vs Response": {
"main": [
[
{
"node": "Send Post request and get datset items",
"type": "main",
"index": 0
}
],
[
{
"node": "Response for General",
"type": "main",
"index": 0
}
]
]
},
"Response for General": {
"main": [
[
{
"node": "Send Response",
"type": "main",
"index": 0
}
]
]
},
"OpenRouter Chat Model": {
"ai_languageModel": [
[
{
"node": "Intent Detection",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"OpenRouter Chat Model2": {
"ai_languageModel": [
[
{
"node": "Response for General",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Send Post request and get datset items": {
"main": [
[
{
"node": "Send Amazone Products",
"type": "main",
"index": 0
}
]
]
}
}
}
Credentials you'll need
Each integration node will prompt for credentials when you import. We strip credential IDs before publishing — you'll add your own.
openRouterApitelegramApi
Pro
For the full experience including quality scoring and batch install features for each workflow upgrade to Pro
About this workflow
This workflow connects Amazon product lookups to Telegram using AI-enhanced scraping and automation. It lets users send a product name to a Telegram bot and instantly receive pricing, discount, and product links — all pulled dynamically from Amazon. Amazon affiliates Telegram…
Source: https://n8n.io/workflows/6319/ — original creator credit. Request a take-down →
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