AI-powered Amazon product recommendations with Gemini 2.5 Flash via Telegram
UnknownWhat this workflow does
This AI workflow has 17 nodes and runs on Telegram events (message) (plus 1 other trigger). Along the way it connects Telegram, Google Gemini Chat Model and Decodo (community).
How it runs
Trigger: On Telegram events (message) (plus 1 other trigger).
- Validate Product Input (Basic LLM Chain): sends a prompt to an LLM, with model: Gemini 2.5 Flash; output parser: Parse Validation Output
- Give Delay (Wait): waits 2 seconds
- Format Error Notification (Code): runs custom JavaScript code
- Check Product Validity (If): checks a condition and branches into true / false
- Send Processing Status (Telegram): uses Telegram
- Notify Admin (Telegram): uses Telegram
- Extract Chat & Query (Edit Fields (Set)): sets 2 fields: chatId, message
- Send Valid Confirmation (Telegram): uses Telegram
- Send Invalid Message (Telegram): uses Telegram
- Decodo: amazon
…plus 3 more steps. See the full node list below.
Services it uses
Before you upgrade to n8n 3.0
We can't fully verify this one: it relies on 1 community package, and n8n 3.0 turns unverified community packages off by default (N8N_UNVERIFIED_PACKAGES_ENABLED=false).
- Check that @decodo/n8n-nodes-decodo is verified or supports 3.0 (used in Decodo API).
Nodes used (11)
- Telegram Trigger
n8n-nodes-base.telegramTrigger - Error Trigger
n8n-nodes-base.errorTrigger - Edit Fields (Set)
n8n-nodes-base.set - Decodo
@decodo/n8n-nodes-decodo.decodo - Code
n8n-nodes-base.code - Basic LLM Chain
@n8n/n8n-nodes-langchain.chainLlm - Telegram
n8n-nodes-base.telegram - Structured Output Parser
@n8n/n8n-nodes-langchain.outputParserStructured - If
n8n-nodes-base.if - Google Gemini Chat Model
@n8n/n8n-nodes-langchain.lmChatGoogleGemini - Wait
n8n-nodes-base.wait
From the author
Send a product name, get back smart Amazon picks. The Decodo Amazon Product Recommender delivers AI-powered shopping recommendations through Telegram: price comparisons, ratings, sales data, and categorized picks (budget, premium, best value) in under 40…