Kai Watanabe
Scraping Infrastructure Evangelist
Kai Watanabe is a Scraping Infrastructure Evangelist at Nstdata, specializing in large-scale web scraping systems, anti-detection technologies, and proxy-powered data pipelines. He is passionate about helping businesses build resilient and efficient data collection infrastructures. His content focuses on scraping frameworks, automation strategies, IP management, and the evolving landscape of web intelligence.
All Articles
Build Production RAG with LlamaIndex and Web Scraping
Production RAG needs document state, validation, evaluation, and deletion semantics beyond a prototype loader. This guide connects a managed acquisition layer to LlamaIndex.
Jina AI vs Firecrawl: Which Web Data Tool Fits Best?
Jina Reader fits lightweight known-URL reading, while Firecrawl targets broader managed collection. The decision should follow workload scope and validation needs.
Best LLM Scrapers: 5 Tools Tested for Production Workflows
The best LLM scraper depends on how much collection infrastructure a team wants to own. This guide compares five options using production acceptance criteria.
Japan Proxies for E-commerce and Sneaker Store QA
“Japan proxy” can mean a shopping intermediary in general search, but this article specifically covers network proxies for authorized e-commerce and storefront QA. The deciding factors are regional context, stable sessions, and a clear boundary against purchase automation.
Proxies With HTTPX: Async Python Tutorial
A working AsyncClient proxy pattern with connection reuse, bounded concurrency, rotation, structured errors, and safe retries.
Xbox IP Address Finder: Safe Ways to Find Your Console
Safely find the local IP address of an Xbox you own, troubleshoot DHCP and network problems, and understand why gamertag-to-IP lookup services are unsafe.
The State of Web Data in the AI Era (2026)
This analysis examines 2026 web data trends including AI-ready artifacts, provenance, selective rendering, executable governance, freshness, and operational controls.
How We Handle JavaScript Rendering at Scale
Design a scalable JavaScript rendering pipeline with static-first routing, bounded browser workers, semantic readiness checks, isolated contexts, and accepted-page cost metrics.
How to Scrape Google Search Results Legally
Choose an approved source for Google SERP data, distinguish result modules, minimize fields, preserve provenance, and stop at access-control boundaries.
