đź“Š AI-powered Amazon product recommendations via Decodo, Telegram and Gemini 2.5
⚡ 179 views · 📊 Market Research & Insights
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Description
Amazon research on autopilot through Telegram. Name any product and this Decodo-powered recommender returns AI-ranked Amazon picks with prices, ratings, sales data, and budget/premium/best-value categories in under 40 seconds. The shortcut past hours of manual comparison shopping.
Last updated: September 2026.
Why Use This Workflow?
Time Savings: Product research drops from 45+ minutes to under 30 seconds.
Decision Quality: 20+ products compared automatically with AI-curated recommendations.
Zero Manual Work: Full automation from message input to formatted recommendations.
Ideal For
- E-commerce Entrepreneurs: Research competitor products, pricing, and market trends for inventory decisions.
- Smart Shoppers & Deal Hunters: Instant comparisons with sales volume data and discount tracking before buying.
- Product Managers & Researchers: Amazon marketplace positioning, customer sentiment, and pricing ranges for competitive intelligence.
How It Works
- Trigger: User sends product name via Telegram (e.g., “iPhone 15 Pro Max case”)
- AI Validation: Gemini 2.5 Flash extracts core product keywords and validates input authenticity
- Data Collection: Decodo API scrapes Amazon search results, extracting prices, ratings, reviews, sales volume, and product URLs
- Processing: JavaScript node cleans data, removes duplicates, calculates value scores, and categorizes products (top picks, budget, premium, best value, most popular)
- Intelligence Layer: AI generates personalized recommendations with Telegram-optimized markdown formatting, shortened product names, and clean Amazon URLs
- Output & Delivery: Formatted recommendations sent to user with categorized options and direct purchase links
- Error Handling: Admin notifications via separate Telegram channel for workflow monitoring
Setup Guide
Prerequisites
| 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 (get a key) |
| Telegram Account | Optional | Admin error notifications |
Installation Steps
- Import the JSON file to your n8n instance
- Configure credentials:
- Decodo API: Sign up at decodo.com → Dashboard → Scraping APIs → Web Advanced → Copy BASIC AUTH TOKEN
- Telegram Bot: Message @BotFather on Telegram →
/newbot→ Copy HTTP API token (format:123456789:ABCdefGHI...) - Google Gemini: Obtain API key from Google AI Studio for Gemini 2.5 Flash model
- Update environment-specific values:
- Replace
YOUR-CHAT-IDin “Notify Admin” node with your Telegram chat ID for error notifications - Verify Telegram webhook IDs are properly configured
- Replace
- Customize settings:
- Adjust AI prompt in “Generate Recommendations” node for different output formats
- Set character limits (default: 2500) for Telegram message length
- Test execution:
- Send test message to your Telegram bot: “iPhone 15 Pro”
- Verify processing status messages appear
- Confirm recommendations arrive with properly formatted links
Customization Options
Basic Adjustments:
- Character Limit: Modify
2500in AI prompt to adjust response length (Telegram max: 4096)
Advanced Enhancements:
- Multi-language Support: Add language detection and translation nodes for international users
- Price Tracking: Integrate Google Sheets to log historical prices and trigger alerts on drops
- Image Support: Enable Telegram photo messages with product images from scraping results
Troubleshooting
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” |
Use Case Examples
Scenario 1: E-commerce Store Owner
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
Scenario 2: Smart Shopping Enthusiast
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
Quick Answers
What do the categories mean?
Top picks, budget, premium, best value, and most popular, each with direct Amazon links.
What if a lookup fails?
The admin Telegram channel gets a notification so nothing fails silently.
Can I change reply length?
Yes. Edit the 2500 character default in the AI prompt (Telegram allows up to 4096).
Made by: khmuhtadin
Category: AI | Productivity | E-commerce | Tags: amazon, telegram, ai, product-research, shopping, automation, gemini
Need custom workflows? Contact me
Connect with the creator:
Portfolio • Workflows • LinkedIn • Medium • Threads
Additional info
Built with n8n. Need an assessment on your business? Feel free to reach out at https://khmuhtadin.com/consultation/
đź”— Nodes Used
Telegram, Telegram Trigger, Basic LLM Chain, Structured Output Parser, Google Gemini Chat Model
đź“Ą Import
Download workflow.json and import into n8n:
Workflow menu → Import from File