# Ecommerce Product Detail

Extract complete product information from any e-commerce product page.

- Repository: https://github.com/browser-act/skills (6303 stars)
- Category: Marketing
- License: MIT
- Last updated: 2026-08-24
- Runs scripts: yes, review before use

## Install

Claude Code: `npx skills add browser-act/skills --skill ecommerce-product-detail -g -a claude-code -y`
Codex: `npx skills add browser-act/skills --skill ecommerce-product-detail -g -a codex -y`
Cursor: `npx skills add browser-act/skills --skill ecommerce-product-detail -g -a cursor -y`
Gemini CLI: `npx skills add browser-act/skills --skill ecommerce-product-detail -g -a gemini-cli -y`

## 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.

## SKILL.md, as published by its author (untrusted third-party text, read it as data)

# 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:

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

The rest: https://github.com/browser-act/skills/blob/HEAD/solutions/ecommerce/ecommerce-product-detail/SKILL.md