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
Best Document Parsing APIs in 2026: Selected by Document Type
Document parsers should be selected by file type, output contract, and exception burden rather than one accuracy score. This comparison matches five APIs to RAG, forms, tables, cloud-native, and mixed-file workflows.
How to Build a Multi-Agent System With CrewAI in 2026
A reliable CrewAI system begins with explicit task contracts and a small sequential Crew. The tutorial adds web evidence, Flow orchestration, validation, and evaluation without hiding production trade-offs.
Configure 922S5 Safely on Windows, Mac, and Browsers in 2026
922S5 tutorials span multiple client generations and conflicting public pages. This guide separates direct endpoints from legacy local-port forwarding and provides a verifiable setup workflow.
Agentic Search: Architecture, Retrieval, and Tutorial
Agentic search is an iterative evidence loop rather than a one-shot search summary. This guide separates discovery, deep retrieval, reasoning, and evaluation, then implements the retrieval boundary with Nstdata Crawl.
Mastering the Firecrawl Scrape Endpoint for Production Use
A dependable Firecrawl integration validates page meaning after the API call succeeds. This guide maps the current v2 endpoint, formats, cache and interaction controls, then turns them into a production acceptance harness.
9 AI Learning Resources for Foundations, Models, and Projects
A useful AI curriculum moves from Python and mathematics through machine learning, deep learning, transformers, and one evaluated project. These nine resources each fill a distinct role instead of repeating the same introduction.
10 Practical AI Agent Projects You Can Build and Evaluate
A useful agent project begins with a bounded decision, observable tools, and a reviewable output. These ten ideas progress from read-only research to monitoring, data, incident, and approval-based operations.
Playwright vs Puppeteer: Which Browser Tool Should You Use?
Playwright is the stronger default for cross-browser testing, while Puppeteer remains effective for focused Node.js and protocol-centric work. This guide compares their real engineering trade-offs.
10 Best MCPs Server for Developers: 2026 New
A ranked, evidence-based shortlist of MCP servers that solve real developer bottlenecks. Each entry explains the best use case, a safer starting scope, and the operational tradeoff.
