Python

An unhandled runtime error crashes a Python program immediately. The try/except is the standard mechanism for handling those failures and keeping the script under control. This guide covers all the exception-handling clauses: try, except, else, finally, and raise, alongside practical guidelines for keeping exception handlers narrow, explicit, and maintainable.

Choosing between urllib3 and Requests is like choosing between a manual and an automatic transmission, except one (Requests) is built into the other (urllib3). The automatic gets you moving in seconds, but the manual gives you control over every shift. Both libraries power web scraping, API calls, and automation, and this article will tell you which belongs in your project.

Charles Proxy (or simply Charles) is an HTTP debugging proxy that acts as a man-in-the-middle between the computer and the internet, which developers and QA teams use to monitor, inspect, and modify data flow. In web scraping, it allows users to intercept, decrypt, and manipulate network traffic to extract data. This guide covers setup, core features, SSL handling, practical use cases, scraping workflows, troubleshooting, and notable alternatives of Charles Proxy.

Elixir web scraping solves one of the hardest problems in high-volume data collection: concurrency without thread overhead. The BEAM virtual machine (Erlang's runtime) runs each HTTP request as a lightweight process, not an OS thread, so you can fetch thousands of pages concurrently. If a process crashes, the supervisor restarts it automatically. This guide builds a complete Elixir scraper from scratch, covering static pages, paginated targets, JavaScript-heavy sites, and anti-bot countermeasures.

If you're building a Playwright scraper and not using XPath, you're probably leaving your most precise location strategy on the table. Think of the DOM as a tree of nodes, and an XPath expression as the specific zip code to reach any node. In this article, we'll explain Playwright XPath fundamentals, how to construct expressions, and how to interact with elements, including real-world examples.

Python has the richest scraping ecosystem of any language. That breadth is exactly why making a choice is harder than it should be. This article continues from our Python web scraping guide, focusing on the selection problem: 8 libraries across 4 categories, what each one does best, where it breaks down, and how to choose the right one for the job.

Waiting for a page to load when using Beautiful Soup is a common challenge in web scraping, especially when your scraper returns empty results because the page renders content via JavaScript. This happens because Beautiful Soup is a parser, not a browser, so it can’t execute JavaScript or wait for dynamic content to load. To handle this, you can use browser automation tools like Selenium or Playwright, a lightweight option like requests-html, or a Web Scraping API for production-grade workflows.

An SSL error means the TLS handshake failed: your application encountered an SSL certificate it couldn't verify, so the connection was rejected. This issue commonly shows up during web scraping or when integrating with external APIs. In this guide, we'll explain what this error means, its causes, and walk you through the right fix for each.

Cloudflare protects over 20% of all websites, and its anti-bot system can shut your scraper down in seconds. A Cloudflare scraper is any tool or script that gets past those defenses to pull data from protected sites. This guide breaks down how Cloudflare spots bots, why most scrapers fail, and how to scrape with Decodo's Web Scraping API.

Most Shopify stores have a built-in JSON endpoint for product data: prices, variants, inventory, images. Web scraping Shopify means requesting /products.json, paginating, and getting the catalog as JSON. But the endpoint is limited to 250 products per page, and some merchants disable it. This guide covers both: the JSON approach for stores that have it, and the fallback for stores that don't.

Bulk text extraction has become an inseparable part of modern-day existence, with real-world cases including building datasets for LLM training, archiving, content analysis, and RAG systems. However, extracting all text is far more complex than scraping a single page, so we’ve prepared a step-by-step guide to discover pages, extract clean text, remove unnecessary elements, and export structured datasets into proper formats. The tools we use are Python, Beautiful Soup, Playwright, and Decodo proxies.

Traditional scrapers return raw HTML. Turning that raw data into structured AI-ready data takes 50%+ extra engineering time, and pushing it directly into an LLM quickly becomes expensive at scale. Crawl4AI was built for that gap: Playwright rendering, automatic Markdown conversion, and native LLM extraction in one open-source framework. This guide takes you from a basic page crawl to production-ready structured data extraction.

Every Glassdoor scraping tutorial that uses Selenium or Playwright fails for the same reason: Cloudflare anti-bot protection fingerprints the TLS connection and blocks non-browser traffic. Glassdoor has internal API endpoints that return the same structured JSON that the frontend uses, without rendering a page. Because these endpoints accept standard HTTP calls, you can bypass Cloudflare by calling them with Python and curl_cffi for browser-grade TLS fingerprinting, plus Decodo residential proxies for IP rotation. This guide covers 4 complete scrapers for reviews, jobs, interviews, and company profiles.

SQLite runs inside every Android and iOS device, Python's standard library, and most embedded systems on the planet. The entire database lives in a single file, with no network layer, daemon, or config files to manage. That zero-overhead model makes it the default choice for web scrapers, mobile apps, CLI tools, and data pipelines that need structured storage without server complexity. This guide covers the full lifecycle: schema design, inserts, queries, security, and debugging.

Scraping Google can quickly turn frustrating when you're repeatedly met with CAPTCHA challenges. Google's CAPTCHA system is notoriously advanced, but it’s not impossible to avoid. In this guide, we’ll explain how to bypass Google CAPTCHA verification reliably, why steering clear of Selenium is critical, and what tools and techniques actually work in 2026.

CreepJS is a browser fingerprinting audit tool used to test how detectable your automated browser is. If you’re trying to bypass CreepJS or improve browser fingerprinting, it helps you spot inconsistencies across signals like WebGL, fonts, and navigator data. This guide shows what actually gets flagged and how to fix the parts that still give your browser away.

Python package management has evolved to prioritize system stability and security. With recent updates, many operating systems now restrict direct changes to system-managed Python environments. As a result, users often encounter the "externally-managed-environment" and other errors when trying to install packages using pip. This guide explains why this error appears and provides up-to-date, practical solutions to help you install Python packages safely in 2026.

Google AI Mode was launched as a Search Labs experiment in March 2025. It's powered by Gemini 2.5, which synthesizes answers from multiple sources and allows you to ask follow-up questions. Google AI Mode isn't the same as Google search results; it's an entirely full-page conversational interface using different URL parameters, rendering pipelines, and scraping logic. This guide provides a walkthrough of two different approaches: a working Playwright script you can execute right away, and the Decodo Web Scraping API for production.