An automated sentiment analysis tool that scrapes ecommerce reviews and generates professional PDF/Word reports using AI.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install ecommerce-review-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-review-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 Ecommerce Review Analyzer?
The Ecommerce Review Analyzer is a powerful tool designed for the Openclaw Skills ecosystem to streamline market research and customer feedback loops. By leveraging browser automation, it crawls major Chinese ecommerce platforms including Taobao, JD.com, and Pinduoduo to extract raw user feedback without the need for manual data entry.
Beyond simple scraping, the skill employs AI to perform deep sentiment analysis, categorizing feedback into positive, neutral, and negative segments. It identifies specific pain points from negative reviews and provides actionable improvement suggestions, empowering store operators and product managers to make data-driven decisions.
Ecommerce Review Analyzer Use Cases
- Automate the collection of customer feedback from Taobao stores to identify product defects.
- Perform competitive analysis by scraping and comparing JD.com reviews across different brands.
- Generate professional quality reports for stakeholders summarizing user sentiment on Pinduoduo.
- Monitor negative feedback trends in real-time to improve customer service response strategies.
How Ecommerce Review Analyzer Works
- The skill utilizes the Openclaw built-in browser to navigate to the specified product URL.
- It verifies the user's login status and assists with QR code authentication if required.
- It automatically scrolls and navigates through review pages to scrape content, ratings, and timestamps.
- An AI model processes the collected text to perform sentiment analysis and extract key themes.
- The skill aggregates the data and compiles a comprehensive report in both .docx and .pdf formats.
Ecommerce Review Analyzer Setup
Ensure you are using OpenClaw v2026.3.22 or higher with the built-in browser tool enabled. Install the required Python dependencies for report generation:
pip install jieba python-docx fpdf2
Note: You must be logged into the respective ecommerce platforms within the Openclaw browser environment to access detailed review data.
Ecommerce Review Analyzer Data Schema & Taxonomy
The skill organizes scraped data and generated insights into structured formats:
| Data Point | Description |
|---|---|
| Product Info | Name, Platform, and Store identifier |
| Rating Distribution | Statistical breakdown of star ratings (1-5) |
| Negative Details | Full text of negative reviews, user ID, and date |
| AI Insights | Summary of common complaints and suggested fixes |
| Output Files | report.docx (editable) and report.pdf (print-ready) |
Ecommerce Review Analyzer Advanced Features
- Multi-platform comparison: Analyze and contrast performance between Taobao, JD, and Pinduoduo simultaneously.
- Cross-store benchmarking: Compare multiple stores within the same platform to identify market leaders.
- Automated Screenshot Capture: Automatically captures login QR codes and sends them to the chat interface for seamless authentication.
- Multi-format Export: Synchronous generation of professional Word documents and PDFs for immediate distribution.
SKILL.md
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