High‑stakes applications of web data – such as pricing intelligence, financial signals, compliance monitoring, and risk analytics – rely not only on acquiring data at scale but on maintaining a high‑quality, stable, and interpretable data layer. Raw HTML or JSON scraped from the web is often noisy, duplicated, and structurally unstable due to frequent site changes. Without a robust quality layer, downstream analytics, ML models, and dashboards are vulnerable to silent corruption.