An advanced Amazon product review intelligence agent that transforms raw customer feedback into structured data and actionable product insights.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install amazon-review-export
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 amazon-review-export 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 Amazon Review Export & Analyzer?
The Amazon Review Export & Analyzer is a sophisticated tool within the Openclaw Skills ecosystem designed for e-commerce sellers, product managers, and market researchers. It automates the extraction and qualitative analysis of Amazon customer reviews, converting unstructured text into a comprehensive Voice of Customer (VOC) framework.
By leveraging this skill, users can identify recurring pain points, calculate Net Sentiment Scores, and map customer feedback directly to listing optimization strategies. It provides a systematic approach to decoding 1-star to 5-star ratings, helping brands understand not just what customers are saying, but the underlying sentiment and frequency of specific product quality or customer experience themes.
Amazon Review Export & Analyzer Use Cases
- Exporting large volumes of Amazon review text into structured CSV formats for offline processing.
- Conducting deep-dive sentiment analysis to identify declining product quality trends over time.
- Performing competitive intelligence by analyzing rival products' weaknesses to inform marketing claims.
- Mapping real customer language and praise to Amazon listing bullet points and image galleries for higher conversion.
- Identifying high-priority engineering fixes based on negative theme frequency and severity thresholds.
How Amazon Review Export & Analyzer Works
- Input the target ASIN or paste raw review text and star distributions into the agent interface.
- The skill structures the data into a standardized CSV-ready format containing dates, ratings, and verified status.
- It applies a qualitative coding framework to categorize reviews into themes like build quality, performance, and value for money.
- A Net Sentiment Score is calculated to provide an executive-level health check of the product's reputation.
- The agent generates a comprehensive intelligence report, including a Voice of Customer summary and a listing optimization map.
Amazon Review Export & Analyzer Setup
To use this skill within your Openclaw Skills environment, ensure the Bash tool is enabled. You can initiate tasks using the following command structure:
# Structure reviews into an exportable CSV
review export <asin>
# Run a full sentiment and pattern analysis
review analyze <reviews>
# Compare your product against a competitor
review compare <asin1> <asin2>
Amazon Review Export & Analyzer Data Schema & Taxonomy
The skill maintains a structured workspace located at ~/review-data/ with the following taxonomy:
| Directory | Content Description |
|---|---|
exports/ |
Structured CSV files per ASIN containing date, rating, and reviewer data. |
analyses/ |
Full Markdown reports including sentiment scoring and theme identification. |
themes/ |
JSON or text files containing coded theme frequency and percentage data. |
competitive/ |
Comparative intelligence reports highlighting competitor weaknesses. |
voc/ |
Executive summaries focusing on the plain-language Voice of the Customer. |
Amazon Review Export & Analyzer Advanced Features
- Multi-ASIN Comparison: Side-by-side review profile analysis for benchmarking against market leaders.
- Frequency-Based Priority Logic: Automatically flags any negative theme appearing in more than 10% of reviews as a high-priority fix.
- Trend Analysis Hooks: Compares recent (90-day) reviews against historical data to detect supplier or manufacturing shifts.
- Listing Optimization Mapping: Converts qualitative feedback into specific actionable changes for Amazon titles, bullets, and images.
SKILL.md
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