Four tools dominate scraping and browser automation in 2026, and each one reflects a fundamentally different philosophy about how to extract data from the web. Scrapy is a pure crawler framework th...
Python’s requests library is 10 to 50 times faster than Selenium for fetching static web pages. That is not an exaggeration – it is a measurable, repeatable result that anyone can verify with a sto...
LLMs can now extract structured data from messy, unpredictable HTML without writing a single CSS selector or XPath expression. You define a schema, pass in the page, and get back clean JSON. The pa...
Email extraction is one of the most common web scraping tasks, and one of the trickiest to get right with regex. The problem sounds simple – find every email address on a page – but the reality inv...
The short answer is no – robots.txt is not legally binding. It is not a law, not a contract, and not an enforceable directive. But the longer answer matters far more: ignoring robots.txt can still ...
Schema-driven extraction is the pattern where you define a data model up front, hand it to an LLM alongside raw HTML, and get back validated, structured JSON. Instead of writing fragile CSS selecto...
Bot detection has evolved from simple user-agent checks to AI-powered behavioral analysis over two decades. What started as a handful of server-side rules in the early 2000s has become a multi-bill...
Playwright and Puppeteer share the same DNA. Both were born from the Chrome DevTools Protocol, and the core engineers who built Puppeteer at Google later left to build Playwright at Microsoft. That...
Modern web applications store an enormous amount of data that never appears in the HTML source. User preferences, authentication tokens, cached API responses, shopping cart contents, feature flags,...
CSS selectors are the most intuitive way to target elements when scraping web pages. Unlike XPath, which reads like a file system path, CSS selectors use the same syntax you already know from style...