- Search public Uniqlo products by keyword, collection, or style
- Extract product names, prices, sizes, colors, and URLs
- Get images, stock status, reviews, and ratings
MCP Server for Uniqlo Data Extraction
Use Bright Data’s enterprise-grade MCP Server to scrape only public Uniqlo data. Extract, analyze, and process product, style, price, review, and store data at scale—fast, reliable, and secure.
Want to try the Uniqlo MCP without setting up anything?
One MCP for the Web
- Crawl categories, new arrivals, sales, best-sellers
- Export style, fabric, and fit info in bulk
- Track public collection updates and price changes
- Access only public data—never user accounts or baskets
- Bypass open-access limits—no login or cookies needed
- Get real-time price, stock, and review data
- Automate browsing products, collections, and store info
- Bulk extract all public reviews, options, and sizes
- Emulate shopper journeys—never access private areas
See what people are building
Ready to Supercharge Uniqlo Scraping?
Get started with Uniqlo MCP Server in minutes. No setup required.
Uniqlo MCP Server FAQs
What is the Uniqlo MCP Server?
The Uniqlo MCP Server is a specialized integration that empowers your AI agents to access real-time public data from Uniqlo. It acts as a bridge, allowing tools like Claude, Cursor, and custom LLMs to search, extract, and interact with Uniqlo content dynamically.
How does the integration handle blocking and CAPTCHAs?
Built on Bright Data's robust infrastructure, the Web MCP Server handles the complexities of web data extraction behind the scenes. It automatically manages proxy rotation, CAPTCHA solving, and unlocking technology to ensure your AI receives structured, reliable data from Uniqlo without getting blocked.
Is the data from Uniqlo live or cached?
The data is completely real-time. Unlike databases that can become outdated, the Uniqlo MCP fetches live content directly from the source at the moment of request, ensuring your AI agents act on the most current pricing, posts, or profile information available.
Is there a free tier for the Uniqlo MCP?
Yes! We offer a generous free tier that includes 5,000 requests per month. This allows developers and businesses to test the Uniqlo MCP Server, build prototypes, and perform light data extraction at no cost before scaling up.
Can the Web MCP Server perform actions like clicking or scrolling?
Yes. Beyond retrieving static data, the server supports full browser automation. Your agents can be instructed to navigate Uniqlo pages, click buttons, handle infinite scrolling, and even take screenshots, enabling complex workflows that simulate real user behavior.
Do I need to host the server myself?
You have the choice. You can use our fully managed Remote MCP for instant access with zero infrastructure setup, or you can deploy the Local MCP if you require on-premise control and custom environment configurations for your Uniqlo projects.
Which AI tools are compatible with this server?
Our Web MCP Server is designed for seamless integration with popular AI clients. It works natively with Claude Desktop, Cursor, Windsurf, and diverse agentic frameworks like LangChain, making it easy to add Uniqlo data capabilities to your existing workflows.
What is the difference between Rapid and Pro modes?
Rapid mode is free and ideal for everyday tasks like SERP lookups and basic text extraction. Pro mode unlocks premium capabilities for Uniqlo, including deep structured data extraction and advanced browser automation tools designed for large-scale production environments.
Is the Uniqlo MCP Server compliant with data regulations?
Absolutely. The Uniqlo MCP Server is built with strict adherence to data protection regulations, including GDPR and CCPA. We only access publicly available web data, ensuring your AI operations remain compliant and ethically sound.
What data formats does the server output?
The server delivers data in clean, AI-ready formats. Depending on your specific needs, you can retrieve Uniqlo data as structured JSON objects for precise analysis or as simplified Markdown text optimized for LLM context windows.