Block 1 - Telegram Trigger
- Type / Role
- n8n-nodes-base.telegramTrigger - telegramTrigger
- Config choices
- Version 1.2
This workflow is provided as-is. Please review and test before using in production.
Decodo Amazon Product Recommender delivers instant, AI powered shopping recommendations directly through Telegram. Send any product name and receive Amazon product analysis featuring price comparis...
n8n-nodes-base.telegramtrigger, n8n-nodes-base.errortrigger, n8n-nodes-base.set, @decodo/n8n-nodes-decodo.decodo, n8n-nodes-base.code, @n8n/n8n-nodes-langchain.chainllm, n8n-nodes-base.telegram, @n8n/n8n-nodes-langchain.outputparserstructured
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Khairul Muhtadin.
Original n8n.io sourceDecodo Amazon Product Recommender delivers instant, AI-powered shopping recommendations directly through Telegram. Send any product name and receive Amazon product analysis featuring price comparisons, ratings, sales data, and categorized recommendations (budget, premium, best value) in under 40 seconds—eliminating hours of manual research.
Time Savings: Reduce product research from 45+ minutes to under 30 seconds
Decision Quality: Compare 20+ products automatically with AI-curated recommendations
Zero Manual Work: Complete automation from message input to formatted recommendations
| Requirement | Type | Purpose |
|---|---|---|
| n8n instance | Essential | Workflow execution platform |
| Decodo Account | Essential | Amazon product data scraping |
| Telegram Bot Token | Essential | Chat interface for user interactions |
| Google Gemini API | Essential | AI-powered product validation and recommendations |
| Telegram Account | Optional | Admin error notifications |
/newbot → Copy HTTP API token (format: 123456789:ABCdefGHI...)YOUR-CHAT-ID in "Notify Admin" node with your Telegram chat ID for error notificationsBasic Adjustments:
2500 in AI prompt to adjust response length (Telegram max: 4096)Advanced Enhancements:
Common Issues:
| Problem | Cause | Solution |
|---|---|---|
| "No product detected" for valid inputs | AI validation too strict or ambiguous query | Add specific product details (model number, brand) in user input |
| Empty recommendations returned | Decodo API rate limit or Amazon blocking | Wait 60 seconds between requests; verify Decodo account status |
| Telegram message formatting broken | Special characters in product names | Ensure Telegram markdown mode is set to "Markdown" (legacy) not "MarkdownV2" |
Challenge: Needs to quickly assess competitor pricing and product positioning for new inventory decisions without spending hours browsing Amazon
Solution: Sends "wireless earbuds" to bot, receives categorized analysis of 20+ products with price ranges ($15-$250), top sellers, and discount opportunities
Result: Identifies $35-$50 price gap in market, sources comparable product, achieves 40% profit margin
Challenge: Wants to buy a laptop backpack but overwhelmed by 200+ Amazon options with varying prices and unclear value propositions
Solution: Messages "laptop backpack" to bot, gets AI recommendations sorted by budget ($30), premium ($50+), best value (highest discount + good ratings), and most popular (by sales volume)
Result: Purchases "Best Value" recommendation with 35% discount, saves $18 and 45 minutes of research time
Created by: Khaisa Studio
Category: AI | Productivity | E-commerce | Tags: amazon, telegram, ai, product-research, shopping, automation, gemini
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Connect with the creator:
Portfolio • Workflows • LinkedIn • Medium • Threads
This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.
| Workflow | AI-powered Amazon product recommendations with Gemini 2.5 Flash via Telegram |
|---|---|
| Complexity | advanced |
| Nodes | 22 |
| Categories | Market Research, AI Chatbot |
| Author | Khairul Muhtadin |
| Published | 19 Nov 2025 |
Use the JSON export at /data/workflows/11001/11001.json as the source template for this automation.
Open n8n, import the downloaded JSON, and review each node before activating the workflow.
Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.
Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.
Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.
Decodo Amazon Product Recommender delivers instant, AI powered shopping recommendations directly through Telegram. Send any product name and receive Amazon product analysis featuring price comparis...
Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.
Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Market Research, AI Chatbot use case.