444 articles published
Compare pricing models, anti-bot handling, and reliability factors when selecting a web scraping API for scalable data pipelines.
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Learn how to replace Apify's actor-based workflow with a straightforward scraping API that handles proxies, browsers, and anti-bot measures automatically.
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Learn how startups can replace expensive enterprise scraping tools with a self-serve API that offers automatic anti-bot handling, rotating proxies, and pay-as-you-go pricing.
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Learn how to scrape modern, JavaScript-heavy websites using headless browsers and automated anti-bot solutions to ensure reliable data extraction.
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A practical guide to evaluating scraping APIs — covering pricing, anti‑bot handling, SDKs, and more — with concrete AlterLab examples and links to get you started fast.
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Learn how AlterLab preserves historical logical contracts, validates backup generations, and classifies production recovery tables to guarantee reliable restores for your scraping pipelines.
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Learn practical techniques to scrape JavaScript-rendered pages reliably using automatic retries, proxy rotation, and headless browsers — all while staying within ethical boundaries.
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AlterLab resolved a regression where active PerimeterX evidence wasn't properly unified with passive anti-bot measures, causing false negatives on financial news sites. Learn how we reconciled evidence streams and cached verdicts without hostname routing overhead.
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Learn how to switch from a fixed subscription to a usage-based scraping API, cut costs, and scale efficiently with practical code examples and a step‑by‑step migration guide.
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AlterLab updates solve a critical Cloudflare clearance replay bug and restore release history watermarks to ensure stable data pipelines and documentation.
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Compare credit-based pricing models with dollar-balance systems for web scraping. Learn how cost structures impact scaling and budget predictability.
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Stop overpaying for unused scraping credits. Learn why data engineers are moving to pay-as-you-go models for more scalable and cost-effective data pipelines.
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