ZynU Express — AliExpress Affiliate Store

A complete, ready-to-deploy affiliate product catalog website built with Next.js 14, connected directly to the AliExpress Affiliate API. Designed to earn commissions passively with automated content generation powered by AI.

🚀 What's Included

• Next.js 14 Website — SEO-optimized product catalog, blog, search, and category pages
• Auto-fetch hundreds of products from AliExpress API by keyword and save to database
• AI description generator using Groq LLaMA 3.3 70B (free API)
• Auto-generate 800+ word SEO blog articles with affiliate product links
• Click Tracking — Every affiliate link click is recorded in the database
• Complete Documentation — Step-by-step guide in English and Bahasa Indonesia

✅ Key Features

• Connects directly to AliExpress Affiliate API v2
• Auto product quality filter: rating ≥ 4.2, orders ≥ 200, price $10–$300
• AI-generated product descriptions (150–200 words each)
• SEO blog with Table of Contents, FAQ section, LSI keywords, internal linking
• Schema.org markup, Open Graph, XML sitemap auto-generated
• Smart recommendation engine by category and price
• Scheduled auto-refresh via GitHub Actions (every 6 hours)
• Fully customizable branding via environment variables — no code editing needed

🛠️ Tech Stack

• Framework: Next.js 14 (App Router)
• Database: Supabase PostgreSQL (free tier)
• Hosting: Vercel (free tier)
• AI: Groq API — LLaMA 3.3 70B (free)
• Styling: Tailwind CSS
• Scripts: Python 3.8+

📦 All accounts required are FREE

GitHub • Supabase • Vercel • AliExpress Portals • Groq — all free to sign up.

Auto-fetch AliExpress products by keyword, AI-generated descriptions via Groq LLaMA 3.3 70B, SEO blog auto-generator (800+ words), click tracking, schema.org markup, XML sitemap, smart recommendations, GitHub Actions cron jobs, fully customizable branding via ENV vars

GitHub account (free), Supabase account (free), Vercel account (free), AliExpress Portals account (free), Groq account (free), Python 3.8+ installed on your computer

1. Run database/schema.sql in Supabase SQL Editor

2. Upload website/ folder to GitHub, import to Vercel
3. Set all environment variables in Vercel dashboard
4. Configure credentials in Python scripts
5. Run: python3 fetch_batch.py → worker.py → fetch_blog.py
Full documentation included in English.