ecommerce-competitor-analyzer

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.

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.

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.

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.

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.