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The escalation of site-level anti-bot controls is a supply shock for raw web-scraped alternative data: expect immediate increases in acquisition cost and failure rates that force data consumers to either pay for official APIs or absorb higher engineering spend. Quant shops and boutique data vendors face a near-term 20-40% rise in effective per-record costs as jitter, proxy rotation, and retry logic increase; that feeds through to slower refresh rates (days → weeks) and worse signal timeliness for short-term strategies. Winners are non-obvious: CDN/bot-management vendors and cloud providers that productize API and identity services will capture recurring revenue as customers migrate away from brittle scraping. Residential proxy and orchestration providers (largely private) will see pricing power, raising barriers to entry for small alphas and concentrating alternative-data advantages in well-capitalized players. Over 6-18 months this raises effective moat for large quant firms and cloud incumbents while compressing margin for independent data brokers. Key catalysts that could reverse or accelerate the trend include major browser or regulatory moves (cookie deprecation, privacy rulings), high-profile litigation about scraping (60-180 day reaction window), and a technological arms race in ML-driven mimicry of human behavior. Tail risk: if top publishers unify on paid API models, forecasted cost inflation could double and force portfolio re-rates for strategies reliant on high-frequency scraped feeds.
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