The agent successfully assembled a comprehensive explanation of USJ by combining web search snippets and prior knowledge, since the official website itself was not directly readable due to heavy JavaScript rendering. The agent discovered what USJ is (a theme park operator), who it serves (families and thrill-seekers), its pricing model (dynamic date-based), and how it differs from Tokyo Disneyland (more thrill-oriented, Japanese pop culture focus, Super Nintendo World). The site proved difficult to navigate programmatically—fetched pages returned only boilerplate HTML rather than content—forcing reliance on search results and external guides.

• ›Step [3] search results surfaced the main official pages (www.usj.co.jp/web/en/us, tickets, company info) but when fetched in steps [4], [5], [8], [11], these returned only HTML skeletons with no readable text content, indicating heavy client-side rendering.
• ›Steps [9], [12], [13], [14] (follow-up web searches) provided the actual substantive answers about pricing tiers, attractions, differentiators, and 2026 features—none of this came from the official site itself, but from third-party travel blogs and comparison guides.
• ›The agent had to acknowledge in its response that 'the site relies on client-side rendering, which makes it difficult to extract content programmatically' and cited external sources (Klook, Tiny Tot In Tokyo, Japan Cheapo) rather than the official domain, exposing a fundamental accessibility gap for automated discovery.
• ›Step [6] (company info page) was the only fetched official resource that appeared to return structured metadata, but the agent did not extract or cite specific content from it.