Retrieves and analyzes Wildberries product reviews for seamless integration with Large Language Models.
Sponsored
Serves as an MCP server to retrieve detailed product reviews from Wildberries. It is specifically designed for seamless integration with various LLM clients like Cherry Studio, Claude Desktop, and Cursor, enabling robust analysis of customer feedback. The server intelligently scrapes review data, including product names, total review counts, and up to 500 raw review texts, and formats it as JSON for easy consumption and analysis by Large Language Models.
Key Features
01Rich Data provision, including product name, total review count, and raw review texts (up to 500).
02Easy Integration with standard MCP clients.
030 GitHub stars
04LLM Ready output, formatting reviews as JSON for effortless analysis.
05Smart Scraping that automatically determines the correct Wildberries 'basket' host.
Use Cases
01Analyzing product reviews for specific Wildberries items by SKU or URL.
02Integrating Wildberries product data directly into LLM-powered workflows for market research or insights.
03Summarizing customer feedback to identify pros and cons of products.
