A browser-automation tool for extracting and analyzing Amazon ASIN data to uncover competitor vulnerabilities and pricing strategies.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install amazon-competitor-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 amazon-competitor-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 Amazon Competitor Analyzer?
The Amazon Competitor Analyzer is a specialized tool designed to provide deep market insights by scraping Amazon product data through browseract.com. As a core part of your Openclaw Skills ecosystem, it performs surgical analysis on competitor listings, looking beyond simple pricing to evaluate review quality, technical specifications, and visual branding strategies. This skill is essential for developers and e-commerce professionals who need reliable, automated data to inform their product development and marketing decisions without the overhead of manual research.
Amazon Competitor Analyzer Use Cases
- Performing deep-dive competitive research across multiple product categories using Openclaw Skills scripts.
- Developing a data-backed pricing strategy by comparing price bands in real-time.
- Benchmarking technical specifications to find feature gaps and market opportunities.
- Analyzing customer sentiment and review quality to identify product flaws in competitor offerings.
- Incorporating automated e-commerce data into broader Openclaw Skills workflows for market reporting.
How Amazon Competitor Analyzer Works
- The user inputs one or more Amazon ASINs to the Openclaw Skills script interface.
- The skill triggers browseract.com automation to fetch live product data securely and reliably.
- Key metrics such as pricing, ratings, and image assets are collected and structured into a normalized format.
- Detailed technical specifications are extracted from the product pages and compared side-by-side.
- The tool analyzes review patterns and sentiment to identify competitor moats and market vulnerabilities.
- A comprehensive report is exported in CSV, Markdown, or JSON formats for immediate use.
Amazon Competitor Analyzer Setup
Before running this skill from your Openclaw Skills directory, ensure you have a BrowserAct API key from their integration settings. Set the environment variable and install the necessary Python requests library:
export BROWSERACT_API_KEY="your_key_here"
pip install requests
Run the analyzer with specific ASINs to generate a report:
python amazon-competitor-analyzer/amazon_competitor_analyzer.py B09G9GB4MG
Amazon Competitor Analyzer Data Schema & Taxonomy
The skill generates structured reports categorized by ASIN. The following schema is used for organization within the output directory:
| Attribute | Description |
|---|---|
| Product Identity | ASIN, Title, and high-resolution image URLs |
| Financials | Current price points and buy-box status |
| Social Proof | Rating distribution, review count, and sentiment patterns |
| Analysis | Summary of competitor moats and identified market vulnerabilities |
Data is saved to the specified output directory in CSV, Markdown, or JSON formats to ensure compatibility with other Openclaw Skills.
Amazon Competitor Analyzer Advanced Features
- Regional scraping support via BrowserAct server selection for global market analysis across different Amazon locales.
- Automated moat identification to highlight competitor advantages and barriers to entry.
- Batch processing capabilities to handle dozens of ASINs simultaneously for massive market scans.
- Seamless integration with existing Openclaw Skills for further data visualization or automated reporting pipelines.
SKILL.md
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