← 返回 Skills 市场
birdme007

电商价格比较

作者 birdme007 · GitHub ↗ · v1.0.0
cross-platform ⚠ suspicious
1739
总下载
3
收藏
13
当前安装
1
版本数
在 OpenClaw 中安装
/install ecommerce-price-comparison
功能描述
从京东、淘宝、天猫、拼多多等中国电商平台抓取商品价格并进行比较分析。当用户需要比较不同电商平台的商品价格、寻找最佳性价比、或监控商品价格变化时使用。支持关键词搜索、商品链接分析、价格历史追踪和购买建议。
使用说明 (SKILL.md)

电商价格比较技能

本技能帮助用户在中国主流电商平台（京东、淘宝、天猫、拼多多）之间进行商品价格比较，找出最佳购买方案。

快速开始

基本使用方式

  1. 提供商品信息：可以给商品链接或商品名称
  2. 执行价格比较：技能会自动搜索各平台的价格
  3. 查看分析结果：获得价格对比和购买建议

示例命令

# 通过商品名称搜索
比较"iPhone 15"在各平台的价格

# 通过商品链接分析
分析这个京东链接的价格：https://item.jd.com/123456.html

# 多商品比较
比较"小米手机"和"华为手机"的价格差异

核心功能

1. 价格抓取

  • 京东：支持自营和第三方商家
  • 淘宝：支持普通店铺和天猫店铺
  • 天猫：支持品牌官方店
  • 拼多多：支持百亿补贴和普通商品

2. 数据对比维度

  • 价格：商品售价、优惠价、券后价
  • 运费：包邮条件、运费金额
  • 促销：满减、折扣、赠品
  • 评价：评分、评价数量
  • 店铺：店铺评分、信誉等级

3. 分析算法

  • 价格排序：从低到高排列
  • 性价比计算：结合价格、评价、店铺信誉
  • 风险评估：识别价格异常或可疑商品
  • 推荐方案：给出最佳购买建议

技术实现

抓取策略

由于电商平台的防爬机制，采用混合策略：

  1. 浏览器自动化：使用Playwright进行动态页面渲染
  2. API调用：使用平台官方API（如可用）
  3. 数据缓存：减少重复请求，提高效率

脚本说明

详见 scripts/README.md 了解各平台抓取脚本的详细说明。

使用场景

场景1：日常购物比较

用户想购买某个商品，需要知道哪个平台最便宜。

场景2：价格监控

用户想监控某个商品的价格变化，等待最佳购买时机。

场景3：批量采购

用户需要批量采购商品，需要比较不同供应商的价格。

场景4：市场调研

用户需要了解某个品类在各平台的价格分布。

注意事项

  1. 价格实时性：电商价格变化频繁，结果仅供参考
  2. 库存状态：低价商品可能缺货或限购
  3. 地区差异：价格可能因用户地区不同而变化
  4. 账号差异：不同账号可能看到不同价格（如会员价）

高级功能

价格历史追踪

使用 scripts/price_history.py 可以追踪商品价格变化趋势。

批量比较

使用 scripts/batch_compare.py 可以同时比较多个商品。

自定义权重

在 references/comparison_logic.md 中可以自定义价格比较的权重设置。

故障排除

常见问题

  1. 抓取失败：平台防爬机制更新，需要更新脚本
  2. 价格不一致：不同时间、不同账号看到的价格可能不同
  3. 商品匹配错误：不同平台的商品规格可能不完全相同

解决方案

  1. 检查网络连接和代理设置
  2. 尝试使用不同的用户代理
  3. 手动验证商品链接是否有效

相关资源

安全使用建议
Things to consider before installing or running this skill: - Capability mismatch: The docs promise multi‑platform support and many helper scripts, but the package only includes jd_scraper.py. If you need Taobao/Tmall/PDD support, request the missing scripts or source before trusting results. - Dependency burden: The README asks you to install Playwright (and browsers), Requests, BeautifulSoup, etc. Playwright downloads browser binaries—be prepared for that and run installs in a controlled environment. - Anti‑scraping advice: The skill recommends proxies, UA rotation, and other evasion techniques. Those are functionally related to scraping but raise ethical, legal, and operational concerns; avoid using third‑party proxy services you don't trust and ensure scraping complies with each platform's terms of service and local law. - Data & secrets: The skill does not request credentials, but config examples include proxy endpoints and potential login handling for platform-specific member prices. Do not supply platform account credentials to untrusted code. - Test safely: Run the included jd_scraper.py in a sandbox/VM or review the code locally. If you expect full multi‑platform functionality, ask the publisher for the missing script files or a complete source repo and re-evaluate. - If unsure: treat this package as incomplete rather than fully functional; request source provenance or a homepage, and prefer a vetted tool or official APIs for production use.
功能分析
Type: OpenClaw Skill Name: ecommerce-price-comparison Version: 1.0.0 The skill bundle provides a legitimate e-commerce price comparison tool. The `jd_scraper.py` script uses standard Python libraries (`requests`, `BeautifulSoup`, `re`) for web scraping from JD.com, making network calls only to JD's domains. There is no evidence of data exfiltration to unauthorized endpoints, malicious code execution, persistence mechanisms, or obfuscation. The `SKILL.md` and other documentation files are free from prompt injection attempts, containing only descriptive and instructional content aligned with the skill's stated purpose. All observed behaviors are consistent with a benign web scraping and data comparison application.
能力评估
⚠ Purpose & Capability
The skill description and SKILL.md claim support for 京东、淘宝、天猫、拼多多 and list multiple helper scripts (price_history.py, batch_compare.py, taobao_scraper.py, tmall_scraper.py, pdd_scraper.py). The provided code manifest contains only scripts/jd_scraper.py (and documentation/reference files). That means the published bundle does not actually include most platform scrapers or the advanced scripts the docs advertise, which is an important inconsistency between claimed purpose and delivered capabilities.
ℹ Instruction Scope
SKILL.md and references describe scraping strategies including browser automation (Playwright), API calls, proxies, user-agent rotation, caching, and potential captcha/anti‑scrape handling. Those instructions are consistent with a web-scraping price-comparison tool, but they also explicitly recommend evasion techniques (proxy rotation, UA changes) which increase operational and legal risk. The instructions reference several scripts that are not present, so runtime behavior described in docs cannot be fully verified from included files.
ℹ Install Mechanism
There is no install spec (instruction-only), which minimizes automatic install risk. However README and SKILL.md recommend installing Playwright and other Python packages (playwright, beautifulsoup4, requests, etc.). Playwright requires downloading browser binaries (playwright install chromium). The lack of an automated install means the user will perform these steps manually; this is not malicious but is heavier than the manifest implies.
✓ Credentials
The skill declares no required environment variables or credentials, and the included jd_scraper.py uses only public JD endpoints and does not request secrets. The README shows an optional config.yaml (proxy credentials, request settings) — optional proxies or credentialed services could be configured by the user, but they are not required by the skill as published.
✓ Persistence & Privilege
The skill does not request always:true or any elevated persistence. It does not attempt to modify other skills or system configs. Autonomous invocation is allowed by default but is not combined with broad privileges here.
如何使用
  1. 确保已安装 OpenClaw（本地或 Docker 部署）
  2. 在对话框中输入安装命令：/install ecommerce-price-comparison
  3. 安装完成后，直接呼叫该 Skill 的名称或使用 /ecommerce-price-comparison 触发
  4. 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
v1.0.0
电商价格比较技能 1.0.0 — 首次发布，助力用户在中国主流电商平台高效比价。 - 支持京东、淘宝、天猫、拼多多商品价格抓取与对比。 - 提供关键词搜索、商品链接分析、价格历史追踪等能力。 - 分析多维度，包括价格、促销、运费、评价和店铺信誉。 - 内置防反爬设计：浏览器自动化、API利用与数据缓存。 - 提供最佳购买建议与风险提示，可用于价格监控和市场调研等情境。
元数据
Slug ecommerce-price-comparison
版本 1.0.0
许可证 —
累计安装 13
当前安装数 13
历史版本数 1
常见问题

电商价格比较 是什么？

从京东、淘宝、天猫、拼多多等中国电商平台抓取商品价格并进行比较分析。当用户需要比较不同电商平台的商品价格、寻找最佳性价比、或监控商品价格变化时使用。支持关键词搜索、商品链接分析、价格历史追踪和购买建议。 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 1739 次。

如何安装 电商价格比较？

在 OpenClaw 或 Claude Code 对话框中运行命令「/install ecommerce-price-comparison」即可一键安装，无需额外配置。

电商价格比较 是免费的吗？

是的，电商价格比较 完全免费（开源免费），可自由下载、安装和使用。

电商价格比较 支持哪些平台？

电商价格比较 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。

谁开发了 电商价格比较？

由 birdme007（@birdme007）开发并维护，当前版本 v1.0.0。

推荐 Skills
self-improving agent
Captures learnings, errors, and corrections to enable continuous improvement. Use when: (1) A command or operation fails unexpectedly, (2) User corrects Clau...
⬇ 463283 · by pskoett
Skill Vetter
Security-first skill vetting for AI agents. Use before installing any skill from ClawdHub, GitHub, or other sources. Checks for red flags, permission scope, and suspicious patterns.
⬇ 259410 · by spclaudehome
Polymarket
Query Polymarket prediction markets. Check odds, find trending markets, search events, track price movements.
⬇ 232503 · by joelchance
Self-Improving + Proactive Agent
Self-reflection + Self-criticism + Self-learning + Self-organizing memory. Agent evaluates its own work, catches mistakes, and improves permanently. Use when...
⬇ 200423 · by ivangdavila
Github
Interact with GitHub using the `gh` CLI. Use `gh issue`, `gh pr`, `gh run`, and `gh api` for issues, PRs, CI runs, and advanced queries.
⬇ 191115 · by steipete
ontology
Typed knowledge graph for structured agent memory and composable skills. Use when creating/querying entities (Person, Project, Task, Event, Document), linkin...
⬇ 190156 · by oswalpalash

💬 留言讨论