A specialized automation skill for analyzing Tmall product data, pricing, and brand flagship store performance.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install tmall
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install tmall using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Tmall Hot Trend?
The Tmall Hot Trend skill is a powerful tool designed for the Openclaw Skills ecosystem to streamline e-commerce research. It focuses on gathering insights from Tmall brand flagship stores and individual product pages, allowing users to monitor pricing fluctuations, summarize customer reviews, and perform competitive analysis. By automating the extraction of publicly available data, this skill helps developers and analysts keep a pulse on market trends without manual searching.
Built with compliance and stability in mind, the skill avoids high-frequency scraping or API reverse engineering. Instead, it utilizes lightweight analysis of dynamic web pages, ensuring it remains within the boundaries of platform guidelines while providing actionable data for internal decision-making and price monitoring.
Tmall Hot Trend Use Cases
- Monitoring brand flagship store product listings for price changes and sales volume.
- Generating core metric summaries for specific products, including promotional highlights and specifications.
- Comparing similar products across different brands to identify competitive advantages in pricing or features.
- Extracting sentiment-based highlights from user reviews to understand customer satisfaction.
How Tmall Hot Trend Works
- The user provides a brand name or a specific Tmall product URL to the agent.
- The skill navigates to the appropriate entry point, such as the search list or product detail page.
- Dynamic page rendering is handled to ensure all metadata, including promotional prices and sales counts, are correctly visible.
- The agent parses the structural elements of the page to extract titles, links, prices, and review summaries.
- The collected data is organized into a structured format or a comparison card for the user.
Tmall Hot Trend Setup
To integrate this skill into your environment, follow these steps:
openclaw install tmall-hot-trend
Configuration involves setting up your browser automation environment to handle dynamic rendering. Since this skill is part of the Openclaw Skills library, ensure your agent has permissions to access web content and handle manual verification triggers if they appear during the session.
Tmall Hot Trend Data Schema & Taxonomy
The skill organizes e-commerce data into a structured schema for easy comparison:
| Field | Description |
|---|---|
| Product Title | The full name of the item on Tmall |
| Price/Promo | Current selling price and active promotional labels |
| Monthly Sales | Total units sold in the last 30 days |
| Shop Info | Store name and link to the flagship store |
| Specs | Technical attributes and product variations |
| Review Highlights | Extracted keywords from user feedback |
Tmall Hot Trend Advanced Features
- Manual trigger integration to bypass automated bot detection during sensitive navigation.
- Built-in rate limiting to maintain compliance and avoid triggering risk control mechanisms.
- Multi-product comparison logic that automatically groups items by specifications.
- Time-stamped data collection to track promotional cycles and price volatility within the Openclaw Skills framework.
SKILL.md
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