ecommerce-reviews
便于汇总用户评价做质量控制与情感分析，支持分页与去重。
评论数据抓取涉及频率限制与可能的隐私/使用条款约束。
抓取任何电商商品或评论页的分页用户评论与元数据。
从任意电商商品页或评论页分页抓取用户评论与元数据，能拿到评论者、星级、日期、标题、正文、是否为已购和有用票数等信息。适合做口碑监测、情感分析、产品改进或批量收集用户反馈时使用。特点是采用多策略解析常见平台（Amazon、Shopify、WooCommerce 等）並支持翻页，覆盖多种评论结构。
▸ 展开 SKILL.md 英文原文
Extract customer reviews from any e-commerce product page or reviews page. Returns reviewer name, star rating, date, review title, review body, verified purchase status, and helpful votes per review. Works on Amazon, WooCommerce, Shopify, and any site with standard review markup. Supports pagination for multi-page review sections. Use when: product reviews, customer feedback, review scraping, get reviews, sentiment analysis data, review extraction, customer ratings, extract customer opinions, product feedback, user reviews, review mining, bulk review collection, review analysis, scrape ratings and comments, ecommerce review data.
帮我安装这个 skill：https://raw.githubusercontent.com/browser-act/skills/main/solutions/ecommerce/ecommerce-reviews/SKILL.mdcurl -fsSL "https://raw.githubusercontent.com/browser-act/skills/main/solutions/ecommerce/ecommerce-reviews/SKILL.md"# E-commerce — Product Reviews > Product URL → paginated customer reviews (reviewer, rating, date, title, body, verified, helpful votes) ## Language All process output to user (progress updates, process notifications) follows the user's language. ## Objective Extract customer reviews from any publicly accessible e-commerce product or reviews page using a multi-strategy approach (JSON-LD Review → Amazon DOM → WooCommerce DOM → generic microdata → generic CSS patterns). ## Prerequisites - Target browser is open and connected - No login required for public review pages ## Pre-execution Checks ### 1. Tool Readiness If browser-act has been confirmed available in the current session → sk