Ecommerce Product Detail

What it does

When your agent uses it

• : scrape product page
• Get product details
• Extract price and availability
• Product info extraction

Example prompts

• “/ecommerce-product-detail”

Requirements

• Python 3

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

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

What it can do on your machine

Read from SKILL.md and the folder at commit 11c057b. It shows what the files ask for, not the result of running them.

• Tool permissions

  Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

  From allowed-tools in the SKILL.md frontmatter.

• Runs code

  Ships 1 file in scripts/ (Python), which the agent can run.

  Shell commands in SKILL.md call:

  • python

  From the folder's file list and the shell code blocks in SKILL.md.

• Network

  Hosts in commands or code, which the agent is likely to contact:

  • amazon.com
  • ebay.com
  • google.com
  • walmart.com
  • m.media-amazon.com

  From URLs in SKILL.md, links to its own repository left out.

• Credentials

  Names no API keys, tokens, secrets or passwords.

  From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Ecommerce Product Detail loads about 1.6k tokens when it runs. Until then it costs about 244 tokens; SKILL.md has 529 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it

~244

When it runs · the whole SKILL.md, loaded when a task matches

~1.6k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from browser-act/skills at commit 11c057b, republished under its MIT licence (© browser-act). 529 words, ~1,587 tokens.

name

ecommerce-product-detail

description

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.

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

{
  "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"
}

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

© browser-act, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file (scripts) in solutions/ecommerce/ecommerce-product-detail of browser-act/skills.

• SKILL.md
• scripts/extract-product.py

Open the folder on GitHubat commit 11c057b