Data Collection

Python is usually the first choice for web scraping, but it can struggle in high-throughput scenarios where you’re fetching many pages concurrently or need stronger reliability. That’s where Rust comes in. In this tutorial, you’ll build a Hacker News scraper in Rust, covering setup, JSON output, and scaling, along with where Rust excels, where it adds friction, and when to offload to a managed scraping API.

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.

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.

Web scraping becomes truly valuable when it is automated. It allows you to track competitor prices, monitor job listings, and continuously feed fresh data into AI pipelines. But while building a scraper that works can be exciting, real-world use cases require repeatedly and reliably collecting data at scale, which makes manual or one-off scraping ineffective. 

Scheduling enables this by ensuring consistent execution, reducing errors, and creating reliable data pipelines. In this guide, you will learn how to automate scraping using 3 approaches: in-script scheduling with Python libraries, system-level tools like cron or Task Scheduler, and cloud-based solutions such as GitHub Actions.

Since there are thousands of job postings scattered across different websites and platforms, it's nearly impossible to keep track of all the opportunities out there. Thankfully, with the power of web scraping and the versatility of Python, you can automate this tedious job search process and land your dream job faster than ever.

eBay is the second-largest online marketplace in the US, and unlike traditional eCommerce platforms, it's an open marketplace where people auction cars, sell rare collectibles, and seal personal deals directly with buyers. That makes it one of the richest targets for web scraping and data extraction – you get access to auction bids, final sale prices, seller ratings, and historical records of what buyers actually paid, not just listed prices. In this guide, you'll learn how to scrape eBay with Python, covering the tools, methods, and best practices to extract data cleanly and at scale without getting blocked.

Google Flights is a rich source of crucial flight information, such as prices, airlines, times, stops, durations, and emissions, but scraping this information has never been easy. The flight search engine hides valuable data behind JavaScript-heavy pages and anti-bot protections. This guide explains how to scrape Google Flights using Python by building a browser-based scraper powered by Playwright.

Google search results are one of the essential ways to track rankings, ads, SERP features, and shifts in search intent at scale. The hard part is collecting that data reliably, because modern SERPs vary by query, location, device, and result type. In this guide, you'll learn 3 practical ways to scrape Google search results: lightweight extraction, a custom-built scraper, and a managed SERP API.

As websites become more dynamic and better at detecting automated traffic, choosing the right automation tool has become more challenging. At the same time, performance, reliability, and anti-detection capabilities matter more than ever. Two tools dominate the space: Selenium, a mature and widely adopted standard, and Playwright, a newer framework built for modern web apps. This guide compares them through practical use cases like web scraping and dynamic content extraction to help you decide which fits your needs best.