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Access friction on the open web (bot blocks, stricter cookies/JS requirements, and rising anti-scraping controls) is creating a structural increase in data acquisition costs for strategies that rely on realtime HTML scraping. Mechanically, this increases latency and missing-observation rates — a 10–30% rise in failed page fetches can turn high-frequency signals into noisy monthly series, compressing edge and increasing turnover costs as teams chase clean coverage. The direct beneficiaries are vendors who offer managed, authenticated APIs, bot-mitigation and web-security stacks, and marketplaces that convert raw site traffic into contractible, SLAd data products; they capture a margin on formerly DIY activity and reduce legal/ops risk for clients. Conversely, small quant shops and boutique data scrapers face rising OPEX and legal exposure, which favors consolidation and larger, compliance-savvy incumbents. Expect a wave of M&A among niche alt-data providers and renewed commercial licensing conversations between site owners and large data consumers over the next 6–24 months. Key tail-risks: a regulatory clampdown on scraping could force an abrupt re-pricing of strategies built on public web signals (hours–weeks); a countervailing risk is commoditization of authenticated APIs or a universal consent framework that restores low-cost access (months–years). Operational reversals (workarounds, headless-browser techniques, or proxy providers) can temporarily mask the structural shift but increase legal risk and detection, shortening strategy lifespan. For portfolio construction, treat this as a market-structure regime change rather than a transient data hiccup: de-risk strategies with high scrape-dependency, reallocate to vendors and cybersecurity/network infrastructure beneficiaries, and position for consolidation in the alt-data value chain over the next 12–36 months.
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