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.
npx skills add https://github.com/browser-act/skills --skill ecommerce-product-detail
> Product URL / keyword / SKU → complete product data (name, price, brand, images, identifiers, availability, rating, variants)
All process output to user (progress updates, process notifications) follows the user's language.
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).
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.
> 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 "$(python scripts/xxx.py {params})". Use the bash tool for execution.
Navigate to the product URL first, then extract:
eval "$(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"
}
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):
wait stableeval "$(python scripts/extract-listing.py --max-results 3)" — get top 3 resultsitems[0].urlnavigate {product_url} → wait stableStep 3 — Extract product data:
eval "$(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.
result.name != null AND (result.price != null OR result.availability != null)
https://www.amazon.com first to establish session cookies, then navigate to the product pagehttps://www.ebay.com first; use solve-captcha if a challenge appearswait stable before extractingPath: {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}
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Take browser-act/ecommerce-product-detail from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.