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
Irony Of Crawling Search Engines: Concepts, Use Cases, and Production Considerations
Search engines are built by crawlers, while their result pages are separate services. This article explains the measurement and access boundaries that follow.
Informed Intuition Web Data Enabling New Management Style: Concepts, Use Cases, and Production Considerations
A practical framework for turning public-page observations into testable management decisions. It covers provenance, bias, validation, and bounded collection.
How AI Agents Use Web Data: Patterns and Pitfalls
Five practical web data patterns for AI agents, plus a bounded Nstdata Crawl adapter and evaluation metrics.
Building a Research Agent That Crawls the Web
A developer tutorial for building a bounded research agent with Nstdata Crawl, structured fact extraction, source citations, and reliability checks.
Web Data at Web Summit: How It Is Transforming Business Insights
A pre-event guide to public web data workflows for business research, using Web Summit 2026’s evolving schedule as a case study in source tracking.
TikTok Scraper with Python: A Guide to Public Content Data
A Python-oriented guide to public TikTok research data that explains access approval, API-based collection, pagination, data handling, and responsible analysis.
Website to Vector Database: Crawl, Chunk, Embed in One Flow
Build a Python path from a bounded website crawl to Pinecone records. The article explains the data contract, stable IDs, embedding dimensions, metadata, querying, and updates.
Google SERP Data Collection Alternatives: Terminal and cURL Techniques
A practical guide to terminal-based SERP collection: understand what cURL can and cannot do, check Google’s current API availability, and parse an authorized SERP API response.
How to Build a RAG Pipeline from a Website
A runnable offline crawl-to-query demonstration and a production checklist for chunking, embeddings, storage, and citations.
