<p>I spent a week trying to scrape YellowPages.com with Python. Most tutorials online are from 2021-2023 and silently fail now. Here's what I found.</p> <h2> The tutorials are all
<p>Building a bot detection engine is challenging, but making it resilient against adversarial attacks, denial-of-service (DoS), and subtle concurrency bottlenecks in production
<p>Most browser-agent demos still ask a capability question:</p> <blockquote> <p>Can the agent use the browser?</p> </blockquote> <p>That question made sense early on. A browser
<p>Every browser agent does the same expensive thing: dump the entire DOM into an LLM, ask "what should I click?", and repeat for every step. A 10-step workflow costs ~$4 in LLM
<p>In the early days of social media automation, a simple script using <code>requests</code> or Selenium was enough to scrape data, auto-like posts, or follow users. Platforms
<p>I scrape 200+ airport departure boards every few minutes. Here's every defence I've had to break through — and the ones that still slow me down.</p> <h2> Why Airport Websites
<p>Every AI agent has the same problem. You ask it to read a webpage and it comes back with a 403, or worse, 5000 tokens of navigation bars and cookie banners.</p> <p>I spent the
<p>Every bot detection system I've seen works with two actors: human or bot. Block the bot, let the human through.</p> <p>That model is wrong in 2026.</p> <p>There is a third
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