Setup & Installation
Or with the ClawHub CLI, for registry-managed skill folders outside a full OpenClaw workspace:
Version History
- No changes detected in this version; all documentation and configurations remain the same as the previous release.
What This Skill Does
Takes one or more Amazon ASINs and uses the BrowserAct browser automation API to scrape product data including title, price, ratings, and specs. Produces side-by-side competitive comparisons with moat and vulnerability analysis. Output is available as CSV, Markdown, or JSON.
Pre-set BrowserAct workflow templates handle Amazon's anti-scraping measures without requiring custom browser automation code.
When to use it
- Comparing specs and pricing before launching a new product
- Finding weak points in top competitors' review profiles
- Building a pricing strategy based on market price bands
- Identifying underserved features across a product category
- Tracking review count and rating trends for rival ASINs
Example Workflow
Here's how your AI assistant might use this skill in practice.
User asks: analyze these three wireless earbud ASINs: B09G9GB4MG B07ABC11111 B08N5WRWNW
- 1Calls BrowserAct API to load each Amazon product page and extract raw data
- 2Parses title, price, rating, review count, and images for each ASIN
- 3Extracts technical specifications and feature lists
- 4Runs review pattern analysis to identify sentiment and recurring keywords
- 5Generates side-by-side comparison and flags moats and vulnerabilities
CSV, Markdown report, and JSON file in ./output with competitive analysis covering pricing bands, spec differences, and review quality scores
Requirements
Accounts, API keys, or tools you or your AI assistant may need to set up while using this skill.