This n8n workflow creates an intelligent shopping assistant that interacts with users via Telegram, recognizes if a message is about product searches, and provides curated recommendations. The process begins with receiving a message through Telegram, then uses AI models to classify user intent into shopping or casual chat. For shopping queries, it cleans and formats the query, scrapes Amazon for product data via an API, processes and aggregates this data, and finally applies AI analysis to generate the best product recommendations presented in a Telegram message. For casual chat, it provides friendly responses. Practical for automating online shopping assistance, deal discovery, and customer engagement on platforms like Telegram.

Node Count	11 – 20 Nodes
Nodes Used	@n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmChatGoogleGemini, @n8n/n8n-nodes-langchain.outputParserStructured, aggregate, code, httpRequest, stickyNote, switch, telegram, telegramTrigger