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
Residential vs Datacenter Proxies: Which Do You Need?
Residential and datacenter proxies differ most in network origin, target acceptance, performance consistency, and billing structure. This guide explains when each type works better and how to test both using cost per accepted result.
10 Best LinkedIn Profile Scrapers in 2026 [Don't Miss]
A ranked, verified look at 10 LinkedIn profile scrapers and enrichment tools for 2026 — browser automation, developer APIs, and contact databases — plus the current legal status of scraping LinkedIn and how to handle profile data responsibly under GDPR/CCPA.
How to Scrape LinkedIn Profiles in 2026: Step-by-Step Guide
Scrape public LinkedIn profile data with Python the compliant way: what's legal, what hiQ v. LinkedIn really decided, and working requests/BeautifulSoup code for name, headline, location, and current role — no login, no connections data, no bypassing LinkedIn's bot detection.
Is Firecrawl Too Expensive? Real Cost Per Page
Firecrawl's headline credit rate is not the same as cost per usable page. This guide calculates effective cost and compares the billing model with Nstdata Crawl.
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.
