xpyp123

xpyp123 / Shop-filterOpenCode

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ShopFilter 是由 OpenCode AI 智能体驱动的跨平台电商商品聚合与智能选品助手。输入关键词即可触发智能体自动化工作流：多平台并发抓取商品数据，多维条件筛选（价格、评分、评论、包邮等），加权综合评分模型自动排序，最终输出最优购买决策。基于 Qt6 + C++17 构建，采用插件式架构与多线程并发，界面简洁现代。全程由 AI 智能体辅助开发，人机协作打造。

ai-agent cpp opencode qt6 scraper
11
0
69% credibility
Found May 03, 2026 at 11 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
C++
AI Summary

A desktop application that provides a graphical interface for searching demo shopping products across simulated platforms and filtering them by price, rating, reviews, shipping, and more.

How It Works

1
🖥️ Open ShopFilter

You launch the colorful shopping helper app on your computer and see a simple window ready to use.

2
🔍 Type what you want

You enter a keyword like 'headphones' or 'shoes' into the search box, feeling excited about finding good deals.

3
🏪 Pick stores

You choose 'all platforms' or one store from the dropdown to search where you like to shop.

4
🚀 Start searching

You click the big search button and watch a progress bar fill up as it gathers products from stores.

5
📋 See product list

A table appears showing products with prices, ratings, sales, discounts highlighted in colors, and checkmarks for free shipping.

6
🛡️ Set your filters

You slide price limits, pick minimum ratings or reviews, check boxes for free shipping or in-stock only, and choose how to sort.

7
🔄 Apply and refine

You click apply filters and instantly see a tailored list of the best matching products.

🛒 Shop happily

You now have a perfect shortlist of great deals, high-rated items ready to buy with confidence.

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AI-Generated Review

What is Shop-filterOpenCode?

ShopFilter (aka FilterOpenCode from OpenCode) is a cross-platform desktop app built in C++17 with Qt6 that aggregates products from multiple e-commerce sites like Taobao, JD, and Pinduoduo. Enter a keyword, and it concurrently scrapes data across platforms up to a few pages deep, then applies filters for price ranges, minimum ratings, review counts, free shipping, and stock status before sorting results via a weighted comprehensive score or other modes like price or discount. Users get a clean table view of ranked deals with details like discounts, sales, and ratings—no more tab-juggling for smart shopping decisions.

Why is it gaining traction?

Its plugin-style setup lets you swap in real scrapers easily, while multi-threading keeps searches snappy without freezing the modern, responsive UI. Developers dig the one-click workflow from keyword to filtered recommendations, plus export-ready tables that highlight steals with color-coded prices and discounts. Stands out over basic scrapers by baking in smart sorting that weighs price, ratings, reviews, and deals automatically.

Who should use this?

E-commerce devs prototyping multi-platform aggregators or building custom shopping bots. Price hunters scripting deal finders for Chinese marketplaces, or Qt6 C++ devs needing a filtering UI baseline for product comparison tools. Ideal for side projects where you want quick multi-site data without API keys.

Verdict

Low 11 stars and 0.7% credibility score signal early-stage maturity—docs are thin, and it ships with demo data generators instead of live scrapers, so expect tweaks for production. Solid Qt6 C++17 foundation for forking into real tools, but test thoroughly before relying on it.

(198 words)

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