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Hardening of website bot-detection and client-side controls creates an economic squeeze on scraping-based alternative data: either feed providers pay for higher-quality residential proxies, browser emulation, and human-in-the-loop solves, or coverage and freshness drop. Expect incremental data acquisition costs to rise 2x-5x for high-fidelity signals over the next 3-12 months, with the largest impact on low-margin microdata collectors that monetize volume rather than quality. This structural shift benefits vendors of edge infrastructure, bot-mitigation, and first-party data custodians because publishers will rationalize who gets access to their audiences; large platform owners capture a higher share of monetizable identity and conversion data while independent publishers can either gate (paywall/login) or sell premium access. Second-order winners include residential-IP brokers and security orchestration suppliers; losers are boutique quant shops and startup alt-data vendors that lack balance-sheet scale to absorb recurring scraping costs. Key tail risks: a rapid technological counterattack from sophisticated scrapers (headless browser farms + AI-driven human emulation) could restore coverage within 1-3 quarters, and regulatory action on fingerprinting or forced data access could alter monetization calculus in either direction. The consensus risk appears to be binary (data intact vs gone); the more probable path is a multi-quarter repricing where quality improves for licensed channels while low-cost, high-volume scraping attrits—creating a two-tier market that favors deep-pocketed infrastructure and platform players.
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