Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Scrapes Amazon product data from ASINs using browseract.com automation API and performs surgical competitive analysis. Compares specifications, pricing, revi...
Scrapes Amazon product data from ASINs using browseract.com automation API and performs surgical competitive analysis. Compares specifications, pricing, revi...
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
This skill scrapes Amazon product data from user-provided ASINs using browseract.com's browser automation API and performs deep competitive analysis.
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
ASIN Data Collection: Extract product title, price, rating, review count, images Specification Extraction: Deep extraction of technical specs, features, and materials Review Quality Analysis: Analyze review patterns, keywords, and sentiment Multi-Dimensional Comparison: Side-by-side comparison of key metrics Moat Identification: Identify core competitive advantages and barriers Vulnerability Discovery: Find competitor weaknesses and market opportunities
Stable and accurate data extraction: Pre-set workflows ensure consistent results. Browser automation: Uses BrowserAct's automated browser instances for reliable data collection. Global accessibility: BrowserAct provides servers in multiple regions. Fast execution: Optimized workflow templates complete tasks quickly. Cost efficient: Reduces manual research time and associated costs.
You need a BrowserAct.com account and API key: Visit browseract.com Sign up for an account Navigate to API Settings Generate an API key
Copy the .env.example file to .env and add your API key: cp .env.example .env # Edit .env and replace YOUR_API_KEY_HERE with your actual API key Or set as environment variable: 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
CSV: Structured data table Markdown: Comprehensive report JSON: Raw data with analysis
ParameterTypeDefaultDescriptionasinsstring-One or more Amazon ASINs to analyze--output, -ostring./outputOutput directory--formatstringallOutput format (csv/markdown/json/all)--api-keystringenvBrowserAct API key
This skill requires the following Python packages: pip install requests Optional (for automatic .env loading): pip install python-dotenv
VariableRequiredDescriptionBROWSERACT_API_KEYYesYour BrowserAct API key. Get it from BrowserAct Console
Invalid API Key: Check BROWSERACT_API_KEY environment variable Network Error: Verify internet connection Rate Limit: Wait and retry with exponential backoff Invalid ASIN: Verify ASIN format (10 alphanumeric characters) Version: 1.0.0 Updated: 2026-02-09 Template ID: 77814333389670716
Code helpers, APIs, CLIs, browser automation, testing, and developer operations.
Largest current source with strong distribution and engagement signals.