ecommerce-competitor-analyzer

Name: ecommerce-competitor-analyzer
Availability: InStock
Author: buluslan

Analyze cross-platform ecommerce product listings to generate competitor insights.

51|9|Updated Jan 29, 2026

Search Tags:#analyze #ecommerce #batch-processing #competitor #markdown-report #ai-analysis

Ready to run

npx skills add https://github.com/buluslan/ecommerce-competitor-analyzer --skill ecommerce-competitor-analyzer-buluslan

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: ecommerce-competitor-analyzer
Source: https://github.com/buluslan/ecommerce-competitor-analyzer/tree/main
Command: npx skills add https://github.com/buluslan/ecommerce-competitor-analyzer --skill ecommerce-competitor-analyzer-buluslan

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This skill automates cross-platform ecommerce competitor analysis by scraping product data and producing AI-driven insights, saving time and increasing decision speed for product teams.

Core Features & Use Cases

Multi-platform support: Amazon, Temu, Shopee (baseline MVP focuses on Amazon; roadmap includes Temu/Shopee)
Batch processing: analyze multiple ASINs or URLs in one go
AI-driven analysis: four-dimension framework covering copywriting, visuals, reviews, and market intelligence
Dual-format outputs: Google Sheets (structured data) and Markdown reports
Error isolation: single item failure does not block batch processing
Use Case: Compare several competitor listings to identify key differentiators and optimization opportunities

Quick Start

Provide a list of ASINs or URLs to begin batch analysis and generate both Google Sheets and Markdown outputs.

Frequently Asked Questions about ecommerce-competitor-analyzer

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I analyze cross-platform ecommerce competitor listings in batch?▼

Batch competitor analysis processes multiple ASINs or URLs across Amazon, Temu, and Shopee to extract structured product data and generate AI-driven insights. You simply provide a list of ASINs or URLs to start the batch processing and generate dual-format outputs.

What insights are included in AI-driven competitor product analysis?▼

AI-driven competitor analysis evaluates product listings across four dimensions: copywriting, visuals, reviews, and market intelligence. This framework identifies key differentiators and optimization opportunities to increase decision speed for product teams.

How do I export scraped competitor data to Google Sheets and Markdown?▼

Scraped competitor data exports directly to Google Sheets for structured data analysis and Markdown reports for readable insights. Providing a list of ASINs or URLs triggers batch processing that automatically generates and delivers both output formats.

Can I analyze multiple ASINs or URLs without single item failures blocking the batch?▼

Batch processing multiple ASINs or URLs includes robust error isolation, ensuring a single item failure does not block the remaining batch. The system also features retry capabilities to handle temporary scraping errors across Amazon, Temu, and Shopee platforms.

Does the competitor analyzer support Amazon, Temu, and Shopee platforms?▼

The competitor analyzer supports Amazon, Temu, and Shopee platforms for cross-platform product listing analysis. The baseline MVP currently focuses on Amazon, while the development roadmap includes expanding full batch processing capabilities to Temu and Shopee.