ru-marketplace-mcp
Active·★ 162·MIT·Updated 2026-10-26
This project provides MCP (Model Context Protocol) servers designed for scraping data from major Russian and Chinese e-commerce marketplaces like Wildberries, Ozon, Yandex Market, and Taobao. It allows users to extract product prices, stock, ratings, reviews, and seller information, offering a unified API for price comparison across all supported platforms.
#Marketplace Scraping#E-commerce Data#Price Comparison#LLM Tooling#Python#Browser Automation#Data Extraction
01
Features
01Read prices, stock, ratings, reviews, and seller identity from multiple Russian and Chinese marketplaces.
02Unified price comparison tool across all supported sources with ranking capabilities.
03Supports both anonymous HTTP requests and browser-based scraping (via Chrome CDP) for robust anti-bot measures.
04Provides detailed product information, including buyer questions, seller answers, and seller legal entity details.
05Offers dedicated tools for each marketplace, enabling targeted and platform-specific data extraction.
02
Compatibility
Python
Runtime
Verified via docs
Model Context Protocol (MCP)
Protocol
Verified via docs
Google Chrome (CDP)
Browser
Verified via docs
uv
Package Manager
Verified via docs
LLM Clients (Claude, Cursor)
Integration
Verified via docs
03
Quick start
1
$ git clone https://github.com/Vladimir-Human/ru-marketplace-mcp.git
2
$ cd ru-marketplace-mcp
3
$ uv sync --all-packages
04
Use cases
↳Price monitoring and competitive analysis across multiple e-commerce platforms.
↳Gathering product reviews and buyer questions for market research or sentiment analysis.
↳Verifying seller identity and legal information for due diligence or supplier assessment.
↳Developing LLM-powered agents that require real-time e-commerce data access and interaction.
↳Tracking product availability and stock levels in online and offline stores (e.g., Detsky Mir).
05
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