An AI-powered e-commerce assistant that parses product links, scrapes details across multiple platforms, performs multi-dimensional comparisons, and generates interactive HTML reports.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install ecommerce-multi-analyzer
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 ecommerce-multi-analyzer 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 E-Commerce Multi-Platform Analyzer?
The E-Commerce Multi-Platform Analyzer is a powerful AI agent skill designed to streamline online shopping, product research, and pricing optimization. By simply providing a product URL from major Chinese e-commerce platforms like Taobao, Tmall, JD.com, Pinduoduo, Douyin, or 1688, the skill automatically extracts critical product details and searches for identical items across competing marketplaces. This skill is part of the growing ecosystem of Openclaw Skills, which empower developers and consumers to automate complex web scraping, search, and analysis workflows with ease.
Using advanced fallback mechanisms, the tool bypasses strict platform anti-scraping blocks to aggregate prices, seller ratings, specifications, and consumer reviews. It then processes this raw data to calculate essential savings metrics, identify the best value-for-money purchasing options, and compile everything into a beautifully rendered interactive HTML report.
E-Commerce Multi-Platform Analyzer Use Cases
Here are some of the primary scenarios where this skill is highly effective:
- Cross-Platform Bargain Hunting: Automatically finding the absolute lowest price for a specific product across multiple competing e-commerce sites.
- Market Research & Competitive Analysis: Analyzing competitor product positioning, pricing spreads, and user ratings for merchant sourcing and product development.
- Wholesale Price Comparisons: Checking if a retail product on Taobao or JD is available at a significantly lower manufacturer price on 1688.
- Intelligent Purchase Planning: Generating visual buying guides and alert notes ahead of major shopping festivals like 618 or Double 11.
How E-Commerce Multi-Platform Analyzer Works
The skill executes a structured 5-step analytical workflow:
- Link Parsing & Platform Identification: Extracts the product URL from user inputs and detects the target platform, with built-in support for short URLs (e.g., tb.cn, dwz.cn).
- Source Data Extraction: Attempts to directly retrieve details (title, current/original prices, ratings, shop name) using WebFetch, falling back to WebSearch query strategies if anti-scraping actions are triggered.
- Cross-Platform Search: Conducts automated target platform searches utilizing advanced syntax (e.g.,
"{keyword}" site:{domain}) to gather data on the top 3 most relevant listings. - Structured Data Analysis: Computes price distribution metrics (minimum, maximum, average, percentage spread), identifies the highest-rated listings, and determines the overall best-value purchase.
- Interactive Report Generation: Stores the analyzed dataset into a unified JSON format and executes a local Python script to render a comprehensive, visual HTML dashboard.
E-Commerce Multi-Platform Analyzer Setup
Prerequisites
Ensure you have Python installed and available in your environment execution path.
Core Tool Dependencies
This skill requires active configuration for the following built-in tools:
WebFetch(for direct scraping)WebSearch(for search fallback and cross-platform queries)Bash(for executing the Python reporting script)
Report Generation Setup
Configure your local script runner to execute the report generation script. The compiled JSON data must be passed as input:
python.exe {baseDir}/scripts/generate_report.py /tmp/ecommerce_data.json /tmp/ecommerce_report.html
E-Commerce Multi-Platform Analyzer Data Schema & Taxonomy
The skill outputs a structured payload to /tmp/ecommerce_data.json with the following taxonomy:
| Key | Type | Description |
|---|---|---|
source_product |
Object | Extracted metadata from the initial input link (title, price, ratings, shop) |
cross_platform |
Array | Competing matching items discovered during cross-platform search |
analysis |
Object | Evaluated metrics including lowest/highest prices, average price, and best-value recommendations |
advice |
Object | Actionable buying advice, quality checks, and shopping festival warnings |
E-Commerce Multi-Platform Analyzer Advanced Features
- Automated Anti-Scraping Fallback: Dynamically switches from direct web fetching to targeted web searches when e-commerce platforms block requests, ensuring data reliability.
- Multi-Platform Short URL Expansion: Resolves shortened mobile shares (like
tb.cnanddwz.cn) to their full destination URLs prior to analysis. - Advanced Search Query Engineering: Formulates precise search queries utilizing platform-specific scoping constraints (
site:domain) to minimize noise in cross-platform matches. - Customizable Report Templating: The script execution framework allows users to inject customized styling sheets and custom data viz charts into the output HTML.
SKILL.md
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