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ecommerce-product-detail

@browser-act · 收录于 1 周前 · 上游提交 2 天前

Extract complete product information from any e-commerce product page. Returns name, price, currency, brand, images, description, SKU/ASIN/EAN/UPC/GTIN/MPN identifiers, stock availability, rating, review count, variants, and seller. Works on Shopify, Amazon, WooCommerce, eBay, Walmart, Etsy, AliExpress, Alibaba, Target, Best Buy, Rakuten, Magento, BigCommerce, PrestaShop, and any public e-commerce site. Accepts product URL, keyword, or product identifier (SKU/ASIN/EAN/UPC). Use when: scrape product page, get product details, extract price and availability, product info extraction, check product data, product detail scraping, get product from URL, keyword product search, ASIN lookup, EAN search, UPC lookup, price check, product research, compare products, monitor product price, get product images, product brand and description, ecommerce data extraction, product catalog scraping, product page scraper, get item price, fetch product info.

适合你,如果需要从电商网站抓取商品详情和价格

/ 下载安装
ecommerce-product-detail.skill双击,或拖进 Claude 桌面版 / Cowork,即完成安装↓ .skill↓ .zip
用别的 agent?下载 .zip 解压,把文件夹放进它的技能目录
Claude Code~/.claude/skills/(项目级 .claude/skills/)
Codex CLI~/.codex/skills/
Cursor自动读取上面两处目录
其他工具见其文档的「skills」目录;两个下载是同一份文件,只是名字不同
/ 通过 npx 安装 校验哈希
npx oh-my-skill add browser-act/skills/ecommerce-product-detail
/ 通过 bash 安装
curl -fsSL https://oh-my-skill.com/install.sh | bash -s -- browser-act/skills/ecommerce-product-detail
/ 已经装过?验证本机副本,不用重装
npx oh-my-skill verify browser-act/skills/ecommerce-product-detail
安装目标可用 --agent / --scope 或 --to 明确指定;省略时只会在唯一已存在的 agent 目录上自动选择,零命中或多命中会停止并提示。content_hash 缺失或不一致均拒装。
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怎么用

商店整理自技能原文 · 版本 51daea1 · 表述以原文为准
它做什么

装上后,Claude 能根据商品链接、关键词或商品编号,提取商品名称、价格、品牌、图片、描述、库存、评分、评论数、变体、卖家等信息。

什么时候触发

当你提供商品链接、关键词(如“蓝牙耳机”)或商品编号(如 ASIN、EAN),并明确要求提取商品详情时触发。

装好后可以这样说
Claude 会提取并返回该商品的所有可用数据。
Claude 会先搜索,再提取第一个结果的信息。
Claude 会直接打开该 ASIN 对应的页面并提取数据。
技能原文 SKILL.md作者撰写 · MIT · 51daea1

E-commerce — Product Detail

Product URL / keyword / SKU → complete product data (name, price, brand, images, identifiers, availability, rating, variants)
Language

All process output to user (progress updates, process notifications) follows the user's language.

Objective

Extract complete product information from any publicly accessible e-commerce product page using a universal multi-layer extraction strategy (JSON-LD → platform-specific DOM → OG meta → microdata).

Prerequisites
  • Target browser is open and connected
  • No login required for public product pages
Pre-execution Checks
1. Tool Readiness

If browser-act has been confirmed available in the current session → skip this step.

Invoke browser-act via Skill tool to load usage. If installation or configuration issues arise, follow its guidance to resolve then retry.

Capability Components
This Skill's operational boundary = what the user can manually do in their browser. It only reads data already displayed to the user on the page, never bypassing authentication or access controls. JS code is encapsulated in Python files under the scripts/ directory, invoked via eval "$(python scripts/xxx.py {params})". Use the bash tool for execution.
DOM: Extract product data from current product page

Navigate to the product URL first, then extract:

eval "$(python scripts/extract-product.py)"

Output example:

{
  "url": "https://www.amazon.com/dp/B09WNK39JN",
  "name": "Amazon Echo Pop",
  "price": 39.99,
  "price_currency": "USD",
  "brand": "Amazon",
  "image": "https://m.media-amazon.com/images/I/61bTwy0ooPL.jpg",
  "images": ["https://...jpg", "https://...jpg"],
  "description": "Compact smart speaker with Alexa...",
  "category": ["Electronics", "Smart Speakers"],
  "sku": "B09WNK39JN",
  "gtin": null,
  "mpn": null,
  "availability": "InStock",
  "rating": 4.7,
  "review_count": 103789,
  "variants": [{"name": "Charcoal", "sku": "B09WNK39JN", "price": 39.99}],
  "seller": "Amazon",
  "identifiers": {"ASIN": "B09WNK39JN", "Best Sellers Rank": "#1 in Smart Speakers"},
  "_platform": "amazon",
  "_source": "json-ld"
}
Composite: Keyword or SKU → product detail

When input is a keyword, ASIN/SKU, or EAN/UPC rather than a direct product URL:

Step 1 — Navigate to search URL based on input type:

| Input type | Target site | URL pattern | |-----------|-------------|-------------| | ASIN (10-char alphanumeric) | Amazon | https://www.amazon.com/dp/{ASIN} | | Keyword | Amazon | https://www.amazon.com/s?k={keyword_urlencoded} | | Keyword | eBay | https://www.ebay.com/sch/i.html?_nkw={keyword_urlencoded} | | Keyword | Walmart | https://www.walmart.com/search?q={keyword_urlencoded} | | Keyword + --site specified | Any site | https://{site}/search?q={keyword_urlencoded} | | Keyword (no site) | Cross-site | https://www.google.com/search?tbm=shop&q={keyword_urlencoded} | | EAN / UPC / GTIN | Cross-site | https://www.google.com/search?tbm=shop&q={identifier} |

Step 2 — If landed on a search/listing page (multiple results):

  1. wait stable
  2. eval "$(python scripts/extract-listing.py --max-results 3)" — get top 3 results
  3. Pick the most relevant product URL from items[0].url
  4. navigate {product_url}wait stable

Step 3 — Extract product data:

eval "$(python scripts/extract-product.py)"

Note: scripts/extract-listing.py is located in ../ecommerce-listing/scripts/extract-listing.py if used as a standalone Skill install; otherwise reference the listing Skill.

Success Criteria

result.name != null AND (result.price != null OR result.availability != null)

Known Limitations
  • Amazon bot detection: direct navigation to a product URL may redirect to a CAPTCHA or bot-check page on fresh sessions. Navigate from https://www.amazon.com first to establish session cookies, then navigate to the product page
  • eBay product pages may require navigating from https://www.ebay.com first; use solve-captcha if a challenge appears
  • Some sites render product data entirely via client-side JavaScript; always use wait stable before extracting
  • Price may be null for out-of-stock items or when login is required to view pricing
  • Variant data completeness depends on whether the site includes full variant markup in JSON-LD
Execution Efficiency
  • Batch orchestration: Write a bash script to loop through product URLs serially within a single session; add 1–2 second intervals between requests to avoid triggering anti-scraping restrictions
  • Test before batch execution: Test with 1–2 URLs before running the full batch
  • Error resumption: Save results item by item; on failure, resume from the breakpoint rather than starting over
Experience Notes

Path: {working-directory}/browser-act-skill-forge-memories/ecommerce-scraper-ecommerce-product-detail.memory.md

Before execution: If the file exists, read it first — it records unexpected situations encountered during past executions (e.g., a strategy has become ineffective); adjust strategy order accordingly.

After execution: If an unexpected situation is encountered (strategy became ineffective, page redesigned, anti-scraping upgraded, better path discovered), append a line: {YYYY-MM-DD}: {what happened} → {conclusion}

按 MIT 许可原样转载,未经改动 · 在 GitHub 查看 →

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