taobao-product-reviews
Fetch customer reviews for a Taobao or Tmall product by itemId, returning reviewer name, date, purchased variant, review text, and photo URLs. Use when user asks to get product reviews from Taobao, scrape Taobao customer feedback, extract buyer reviews by item ID, collect Tmall ratings and comments, 采集淘宝商品评价, 抓取淘宝买家评论, 获取淘宝商品评论, 天猫商品评价抓取, 按商品ID获取评价. Also applies to sentiment analysis of product reviews, building review datasets, and monitoring product rating changes.
npx skills add browser-act/skills --skill taobao-product-reviews --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Taobao — Product Reviews > itemId → paginated customer reviews (reviewer, date, purchased SKU, text, photos) ## Language All process output to user (progress updates, process notifications) follows the user's language. ## Objective Navigate to a Taobao/Tmall product page, load the reviews section, and extract customer review content. ## Prerequisites - Target page is already open in the browser: `https://item.taobao.com/item.htm?id={itemId}` - User is logged in to Taobao (user avatar or nickname visible in the page header) ## 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. ### 2. Login Verification If login status for Taobao has been confirmed in the current session → skip this step. Otherwise: open `https://www.taobao.com` and observe the page header: - User nickname visible → logged in, continue execution - Login button visible → not logged in, inform the user that Taobao login is needed first, assist the user in completing the login flow User refuses or cannot
- Language
- Objective
- Prerequisites
- Pre-execution Checks
- 1. Tool Readiness
- 2. Login Verification
- Capability Components
- DOM: product reviews (data extraction)
- DOM: paginate to next review page
- Enum Parameters
- Pagination
- Success Criteria
- Known Limitations
- Execution Efficiency
What does the taobao-product-reviews skill do?
Fetch customer reviews for a Taobao or Tmall product by itemId, returning reviewer name, date, purchased variant, review text, and photo URLs. Use when user asks to get product reviews from Taobao, scrape Taobao customer feedback, extract buyer reviews by item ID, collect Tmall ratings and comments, 采集淘宝商品评价, 抓取淘宝买家评论, 获取淘宝商品评论, 天猫商品评价抓取, 按商品ID获取评价. Also applies to sentiment analysis of product reviews, building review datasets, and monitoring product rating changes.
How do I install it?
Run `npx skills add browser-act/skills --skill taobao-product-reviews --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From browser-act/skills, a repository with 5,160 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.