ecommerce-competitor-analyzer_skill

Overview

This skill performs multi-platform e-commerce competitor analysis by scraping product listings from Amazon, Temu, and Shopee and generating AI-driven strategic reports. It supports bulk processing, produces structured outputs for Google Sheets, and creates detailed Markdown reports with four-dimensional analysis. Use it to extract product fields, discover messaging and visual trends, and surface market blind spots quickly.

How this skill works

The skill extracts product identifiers (ASINs or URLs), detects the platform, and batch-scrapes product pages using a web-scraping API. Scraped data (title, price, rating, reviews, etc.) is fed into an AI analysis prompt that returns four analysis dimensions: copywriting/keywords, visual design thinking, review sentiment, and market positioning. Results are exported as a Google Sheets table and a detailed Markdown report; batch processing is handled with error isolation so single failures don’t stop the job.

When to use it

• You need a rapid competitor snapshot across multiple product listings.
• You want bulk extraction of structured product fields for research or reporting.
• You need strategic recommendations on listing copy, visuals, and positioning.
• You want both machine-readable table output and a human-readable report.
• You need to process large lists while isolating individual failures.

Best practices

• Provide ASINs or platform URLs in a single list so identifiers can be extracted reliably.
• Run batches with moderate concurrency and use Promise.allSettled to isolate failures.
• Ensure required API keys are configured before running (scraper, AI, Google Sheets).
• Specify Google Sheets ID upfront if you want automatic table exports; otherwise the skill will request it.
• Keep batch sizes reasonable to avoid rate limits and to allow retries for timeouts.

Example use cases

• Analyze a competitor’s top 10 Amazon listings to extract keyword and visual trends.
• Bulk-process a CSV of product URLs to populate a competitive intelligence sheet.
• Create a weekly report of newly launched competitor products with sentiment and gap analysis.
• Validate listing copy and imagery strategy before launching a similar product.
• Audit marketplace reviews at scale to identify common complaints and feature opportunities.