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Site-level anti-bot/friction is a microshock to the alternative-data stack: it raises acquisition costs, increases latency, and creates intermittent data gaps that selectively harm strategies relying on high-frequency web-scraped signals. Expect quant shops that run real-time scraping pipelines to see a 5–15% increase in run-rate data costs and a 10–30% increase in toolchain complexity (proxies, headless browsers, anti-fingerprint tooling) over the next 3–9 months as they adapt or migrate to paid APIs. The winners are enterprise-grade data and security vendors that can offer SLAs, provenance, and managed access — clients will trade fragile scraping pipelines for predictable paid feeds. CDNs and bot-management providers (Cloudflare, Akamai) will capture incremental spend from both publishers and buyers, and exchanges/aggregators that can certify traffic will command a premium; these revenue shifts are likely to show up in commercial contracts and ARR within 2–4 quarters. A second-order structural effect: reduction in noisy, low-quality alternative data will compress the long tail of alpha for smaller quants and increase concentration of informational advantage in larger funds that can afford paid feeds. Over 12–24 months anticipate consolidation (acquisitions by large vendors or funds buying data firms) and margin pressure on pure-play scrapers. Reversals could come from legislation on data access / portability or large publishers monetizing scraped access via standardized APIs — monitor regulatory signals and major publisher partnership announcements as binary catalysts.
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