Agent skill · Data & Analytics

amazon-competitor-analyzer

Scrapes Amazon product data from ASINs using browseract.com automation API and performs surgical competitive analysis. Compares specifications, pricing, review quality, and visual strategies to identify competitor moats and vulnerabilities.

browser-actgithub.com/browser-actGitHub ↗
claude-codecodexcursorships scriptsMIT
Install
npx skills add browser-act/skills --skill amazon-competitor-analyzer --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 3
SKILL.md size: 4 KB
Bundled scripts: yes
Path: solutions/ecommerce/amazon-competitor-analyzer/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 5,160
Language: Python
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Amazon Competitor Analyzer This skill scrapes Amazon product data from user-provided ASINs using browseract.com's browser automation API and performs deep competitive analysis. ## When to Use This Skill - Competitive research: Input multiple ASINs to understand market landscape - Pricing strategy analysis: Compare price bands across similar products - Specification benchmarking: Deep dive into technical specs and feature differences - Review insights: Analyze review quality, quantity, and sentiment patterns - Market opportunity discovery: Identify gaps and potential threats ## What This Skill Does 1. **ASIN Data Collection**: Extract product title, price, rating, review count, images 2. **Specification Extraction**: Deep extraction of technical specs, features, and materials 3. **Review Quality Analysis**: Analyze review patterns, keywords, and sentiment 4. **Multi-Dimensional Comparison**: Side-by-side comparison of key metrics 5. **Moat Identification**: Identify core competitive advantages and barriers 6. **Vulnerability Discovery**: Find competitor weaknesses and market opportunities ## Features 1. **Stable and accurate data extraction**: Pre-set workflows ensure consistent r

What's inside
Steps it walks through
  1. When to Use This Skill
  2. What This Skill Does
  3. Features
  4. Prerequisites
  5. BrowserAct.com Account Setup
  6. Environment Configuration
  7. Usage
  8. Basic Analysis
  9. Multiple Products
  10. With Output Directory
  11. Output Formats
  12. Parameters
  13. Dependencies
  14. Environment Variables
Ships with 2 files
  • .env.example
  • amazon_competitor_analyzer.py
Commands it runs
cp .env.example .env
Edit .env and replace YOUR_API_KEY_HERE with your actual API key
export BROWSERACT_API_KEY="your-api-key-here"
python amazon-competitor-analyzer/amazon_competitor_analyzer.py B09G9GB4MG
python amazon-competitor-analyzer/amazon_competitor_analyzer.py B09G9GB4MG B07ABC11111 B08N5WRWNW
python amazon-competitor-analyzer/amazon_competitor_analyzer.py B09G9GB4MG -o ./output
pip install requests
pip install python-dotenv
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About this skill
What does the amazon-competitor-analyzer skill do?

Scrapes Amazon product data from ASINs using browseract.com automation API and performs surgical competitive analysis. Compares specifications, pricing, review quality, and visual strategies to identify competitor moats and vulnerabilities.

How do I install it?

Run `npx skills add browser-act/skills --skill amazon-competitor-analyzer --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From browser-act/skills, a repository with 5,160 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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