Learn the differences between rotating and residential proxies, when each excels, and how to configure them in your scraping pipeline for reliable, ethical data collection.
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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 to scrape modern, JavaScript-heavy websites using headless browsers and automated anti-bot solutions to ensure reliable data extraction.
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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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Explore the technical architecture of AI agents in 2026. Learn how LLMs, headless browsers, and advanced APIs enable autonomous web navigation and data extraction.
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This week's AlterLab engineering updates resolve SDK response drift, unblock CI migrations, enhance session binding security, and reduce WAF false positives for more reliable scraping pipelines.
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Learn how to combine LLM tool use, real-time web data, and MCP servers to create agentic browsing agents that fetch and act on live information without custom scrapers.
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Learn how to build agentic web browsers that handle captchas and headless detection reliably in AI workflows, with practical code examples and anti-bot strategies.
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Learn how AlterLab made worker identity profile retention safe and hardened refund replay fallback capacity using bounded Redis transactions and PostgreSQL outbox.
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Learn how to combine Model Context Protocol servers, agentic browsing, and AlterLab’s anti-bot handling to create low-latency, scalable RAG pipelines that fetch fresh web data on demand.
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Learn how to combine AlterLab's headless browser scraping with structured Markdown extraction to feed fresh web data into LLM-powered RAG systems, using Python SDK and cURL examples.
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