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Install in OpenClaw
/install tmall-price-scraper
Description
抓取天猫（Tmall）商品页面的实时价格、优惠信息及规格详情。适用于需要获取电商商品价格、监控价格变动或对比不同规格价格的场景。
Usage Guidance
This skill appears coherent for scraping Tmall product pages. Before using it, confirm: (1) you accept that the agent will load product pages and may request you interactively to log in (it does not ask for credentials programmatically); (2) the ambiguous phrase about extracting from "Markdown" should be clarified to mean page text/DOM — ask the author to fix that wording; (3) scraping Tmall may break if page structure changes and may be subject to Tmall's terms of service and rate limits — avoid high-frequency automated scraping and consider legal/privacy implications; (4) test the skill on a few sample product URLs to ensure it extracts the expected fields. If you need stronger assurance, request a code-backed implementation or explicit examples of extracted output and error handling.
Capability Analysis
Type: OpenClaw Skill
Name: tmall-price-scraper
Version: 1.0.0
The tmall-price-scraper skill is a standard web scraping tool designed to extract product pricing and specifications from Tmall. It uses legitimate browser automation patterns, such as navigating to URLs and prompting the user for manual login when authentication is required, without any evidence of data exfiltration, malicious execution, or prompt injection attacks.
Capability Assessment
Purpose & Capability
Name/description (scraping Tmall product pages) match the instructions: navigation, detecting login, waiting for dynamic content, extracting price/SKU/discounts and simulating clicks. No unrelated binaries, installs, or external credentials are requested.
Instruction Scope
Instructions stay within scraping scope (use browser_navigate/browser_view, prompt user to log in if redirected). A minor ambiguity: the doc says to "优先从 Markdown 提取中寻找价格关键字" (extract from Markdown) which is likely a wording error — it should probably refer to DOM/text content. Otherwise the steps (waiting for load, finding elements with '￥' or '价格', simulating SKU clicks) are normal for a scraper but are inherently brittle.
Install Mechanism
No install spec and no code files — instruction-only skill. This minimizes installation risk (nothing is downloaded or written to disk).
Credentials
Requires no environment variables, credentials, or config paths. It prompts the user to log in interactively when needed rather than requesting or storing credentials, which is proportionate for the stated task.
Persistence & Privilege
Defaults (not always:true) and autonomous invocation allowed (platform default). The skill does not request permanent presence or to modify other skills or system config.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install tmall-price-scraper - After installation, invoke the skill by name or use
/tmall-price-scraper - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
- Initial release of tmall-price-scraper.
- Extracts real-time prices, discounts, and full specification details from Tmall product pages.
- Guides users through login if access is restricted.
- Supports detection of special prices (coupons, promos) and specification-based price variations.
- Outputs product information in a clear and structured table format.
Metadata
Frequently Asked Questions
What is tmall-price-scraper?
抓取天猫（Tmall）商品页面的实时价格、优惠信息及规格详情。适用于需要获取电商商品价格、监控价格变动或对比不同规格价格的场景。 It is an AI Agent Skill for Claude Code / OpenClaw, with 233 downloads so far.
How do I install tmall-price-scraper?
Run "/install tmall-price-scraper" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is tmall-price-scraper free?
Yes, tmall-price-scraper is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does tmall-price-scraper support?
tmall-price-scraper is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created tmall-price-scraper?
It is built and maintained by kgc-yj (@kgc-yj); the current version is v1.0.0.
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