# ecommerce-product-hunter

**Repository Path**: openclaw-projects-admin/ecommerce-product-hunter

## Basic Information

- **Project Name**: ecommerce-product-hunter
- **Description**: 跨境电商选品与套利工具
- **Primary Language**: Unknown
- **License**: MIT
- **Default Branch**: main
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2026-05-12
- **Last Updated**: 2026-05-12

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# E-Commerce Product Scout - 跨境电商选品与套利工具

<div align="center">

**AI-powered product hunting tool for cross-border e-commerce sellers**

[![Python](https://img.shields.io/badge/Python-3.12+-blue.svg)](https://www.python.org/)
[![FastAPI](https://img.shields.io/badge/FastAPI-0.115+-green.svg)](https://fastapi.tiangolo.com/)
[![Next.js](https://img.shields.io/badge/Next.js-14.2+-black.svg)](https://nextjs.org/)
[![License](https://img.shields.io/badge/License-MIT-yellow.svg)](LICENSE)
[![ mise ](https://img.shields.io/badge/mise-2026.2.4-FF85A2)](https://mise.jdx.dev/)
[![ uv ](https://img.shields.io/badge/uv-0.10.0-6BF17A)](https://github.com/astral-sh/uv)

**中文文档** | [English](#english)

</div>

---

## 中文文档

一个智能化的跨境电商选品工具，自动监控亚马逊、TikTok等平台的热门商品，匹配1688/AliExpress供应商，计算利差并推送套利机会。

**核心价值**：节省卖家选品时间，发现隐藏利差，一键上架。

### 功能特性（MVP）

- ✅ 亚马逊Best Sellers实时监控
- ✅ 价格与销量数据提取
- ✅ 利差计算（建议成本价）
- ✅ Web界面展示机会列表
- ✅ 手动添加供应商链接比价

### 技术栈

- **后端**: FastAPI (Python)
- **爬虫**: Playwright
- **数据缓存**: Redis
- **前端**: Next.js 14 + Tailwind CSS
- **工具管理**: mise + uv

### 快速开始

#### 前置要求

- Python 3.12+
- Node.js 20+
- mise（系统工具管理）
- uv（Python包管理）
- Redis（可选，用于缓存）

#### 安装步骤

```bash
# 1. 克隆仓库
git clone https://github.com/Desperado1001/ecommerce-scout.git
cd ecommerce-scout

# 2. 安装系统工具和依赖
mise install
cd backend && uv sync
cd ../frontend && npm install

# 3. 安装Playwright浏览器
cd backend
uv run playwright install chromium
```

#### 启动服务

```bash
# 后端（终端1）
cd backend
uv run python main.py

# 前端（终端2）
cd frontend
npm run dev
```

后端将在 http://localhost:8000 启动，前端在 http://localhost:3000

### 项目结构

```
ecommerce-scout/
├── backend/              # FastAPI后端
│   ├── main.py
│   ├── scrapers/        # 爬虫模块
│   ├── models.py
│   └── pyproject.toml
├── frontend/             # Next.js前端
│   ├── app/
│   ├── components/
│   ├── globals.css
│   └── package.json
├── QUICKSTART.md        # 详细快速开始指南
└── README.md            # 本文件
```

### 商业模式

- **免费版**: 每天5个机会推送
- **标准版**: $29/月 - 无限监控
- **专业版**: $99/月 - AI分析 + 自动比价
- **企业版**: $299/月 - 私有部署

### API文档

启动后端后，访问 http://localhost:8000/docs 查看Swagger UI文档。

### 路线图

- [x] MVP核心功能
- [ ] TikTok爬虫集成
- [ ] 1688/AliExpress自动搜索
- [ ] AI视觉产品分析
- [ ] SEO描述生成
- [ ] 用户认证和计费
- [ ] Telegram实时推送

### 贡献

欢迎提交Issue和Pull Request！

### License

MIT

---

<a name="english"></a>

## English Documentation

An intelligent cross-border e-commerce product hunting tool that automatically monitors hot products from Amazon, TikTok, and other platforms, matches suppliers on 1688/AliExpress, calculates profit margins, and pushes arbitrage opportunities.

**Core Value**: Save sellers' product selection time, discover hidden arbitrage opportunities, one-click listing.

### Features (MVP)

- ✅ Real-time Amazon Best Sellers monitoring
- ✅ Price and sales data extraction
- ✅ Profit margin calculation (recommended cost price)
- ✅ Web interface for opportunity list
- ✅ Manual supplier link comparison

### Tech Stack

- **Backend**: FastAPI (Python)
- **Scraping**: Playwright
- **Caching**: Redis
- **Frontend**: Next.js 14 + Tailwind CSS
- **Tool Management**: mise + uv

### Quick Start

#### Prerequisites

- Python 3.12+
- Node.js 20+
- mise (system tool manager)
- uv (Python package manager)
- Redis (optional, for caching)

#### Installation

```bash
# 1. Clone repository
git clone https://github.com/Desperado1001/ecommerce-scout.git
cd ecommerce-scout

# 2. Install system tools and dependencies
mise install
cd backend && uv sync
cd ../frontend && npm install

# 3. Install Playwright browser
cd backend
uv run playwright install chromium
```

#### Start Services

```bash
# Backend (Terminal 1)
cd backend
uv run python main.py

# Frontend (Terminal 2)
cd frontend
npm run dev
```

Backend will start at http://localhost:8000, frontend at http://localhost:3000

### Project Structure

```
ecommerce-scout/
├── backend/              # FastAPI backend
│   ├── main.py
│   ├── scrapers/        # Scraping modules
│   ├── models.py
│   └── pyproject.toml
├── frontend/             # Next.js frontend
│   ├── app/
│   ├── components/
│   ├── globals.css
│   └── package.json
├── QUICKSTART.md        # Detailed quick start guide
└── README.md            # This file
```

### Business Model

- **Free**: 5 opportunities per day
- **Standard**: $29/month - Unlimited monitoring
- **Professional**: $99/month - AI analysis + auto comparison
- **Enterprise**: $299/month - Private deployment

### API Documentation

After starting the backend, visit http://localhost:8000/docs for Swagger UI documentation.

### Roadmap

- [x] MVP core features
- [ ] TikTok scraper integration
- [ ] 1688/AliExpress auto search
- [ ] AI visual product analysis
- [ ] SEO description generation
- [ ] User authentication and billing
- [ ] Telegram real-time push notifications

### Contributing

Issues and Pull Requests are welcome!

### License

MIT

---

<div align="center">

Made with ❤️ for efficient cross-border e-commerce workflows

</div>