Data Collection

Pyppeteer is an unofficial Python port of Puppeteer, the Node.js library that drives headless Chromium through the DevTools Protocol. It brings the same async model to Python for clicking, filling forms, waiting, and scraping JavaScript-heavy sites. It works, but it's no longer the 2026 default. This guide covers using it and when to switch to Playwright or nodriver.

Building reliable web scrapers can get complex and difficult to maintain, but Crawlee aims to simplify the process. As project needs grow, developers often encounter challenges that require multiple tools and configurations. Crawlee eliminates the need to build these configurations from scratch or migrate to a different tool mid-crawl, allowing you to focus on your scraping logic instead. In this guide, you'll learn how to scrape using Crawlee's 3 main crawler classes. We'll also explore the routing architecture, proxy integration with Decodo, and data storage.

Most Python scrapers that use Requests stop working as soon as a site is protected by Cloudflare. You might see a 403 error, get stuck in a redirect loop, or land on a "Just a moment..." page that never loads. Cloudscraper solves this problem without needing a headless browser. It builds on Requests, handles Cloudflare's JavaScript challenges, and gives you a working session. This guide explains how to set up Cloudscraper, configure proxies, choose an interpreter, handle CAPTCHAs, parse data, fix common errors, and understand the library's limitations. If you're new to Python scraping, start with the Python web scraping guide first.

When you scrape the web with Puppeteer, you almost always pull in data you want alongside extras you don't need, like images, fonts, and tracking scripts that increase your request count, slow your pages, and drain your proxy bandwidth. In this guide, you'll learn how to block unnecessary requests with request interception and Chrome DevTools Protocol (CDP) so your scraper runs faster and scales more efficiently.

Kotlin developers don't need to reach for Python to scrape. The JVM ecosystem covers the full stack: Jsoup for HTML parsing, OkHttp for HTTP requests, and coroutines for concurrency. This guide is for JVM and Android developers, as well as Java teams evaluating a migration. By the end of this piece, you'll have a working scraper that handles pagination, runs concurrent requests, integrates proxies, and exports data to CSV.

Yes, you can parse HTML with regex – but only for specific tasks. Regex works well on flat targets like meta tags, sitemap URLs, or inline JSON-LD. But on nested or JavaScript-rendered markup, it fails silently, and you often don’t notice until the data is already wrong. This guide explains when regex works on HTML and when it breaks, includes working Python for the common extraction tasks (meta tags, JSON-LD, bulk extraction), and covers when to switch to a parser or get past a page that blocks you.

Puppeteer is a Node.js library that controls headless Chromium for browser automation and web scraping. Without proxies, every request goes out from your real IP, and on protected sites, that IP gets blocked fast. This guide covers every method for configuring, authenticating, and rotating proxies in Puppeteer, plus how to troubleshoot the failures you'll actually run into. Not familiar with how proxies work? Check out what a proxy server is before continuing.

Scala web scraping fits naturally into JVM data pipelines, sharing types and libraries with your Spark, Akka, and Kafka code. This guide covers everything you need to ship a production scraper: environment setup, library selection, pagination, JavaScript rendering, anti-bot mitigation, and structured data export. Including when a managed scraping API is the smarter call.

If you're choosing Hermes Agent vs. OpenClaw, you're looking at the two most popular open-source agent frameworks of the year. Both run AI agents on their own, work inside your messaging apps, and call tools for you. This guide compares both of these agents' features, use cases, and possible third-party integrations.

Web scraping with Node Fetch offers a lightweight way to collect data in Node.js. By fetching raw HTML or JSON responses and pairing them with parsers like Cheerio, developers can transform unstructured pages into structured datasets. This Node Fetch tutorial explains request handling, response parsing, data extraction, proxy integration, and when managed scraping APIs are necessary to effectively bypass advanced anti-bot protections.

Watir is an open-source Ruby library for automating web browsers through code. Built on top of Selenium WebDriver, it wraps browser communication in a clean, Ruby-idiomatic API so you can focus on clicking buttons, filling forms, navigating pages, and extracting data without managing the underlying complexity. It's particularly useful for scraping JavaScript-heavy sites, automating form submissions, and collecting content that only appears after user interaction. This guide walks you through the full process, from setup to a working Watir scraper with proxy support.

A residential proxy network routes your traffic through real ISP-assigned home IPs. But how routing actually happens, which proxy types you end up using, and how IPs are sourced have a much bigger impact on success rates. This guide breaks down how residential proxy networks work, including ASN-level routing, the different types of IPs, and the protocols they support.

Thanks to blending Java’s massive ecosystem with a scripting-friendly syntax, Groovy works as a practical alternative for web scraping on the JVM. This guide shows you how to scrape websites with the HTTP Jodd client, parse HTML documents, manage sessions, utilize Jodd Lagarto and Jerry, and use Selenium to automate browsers. You'll also learn how to configure proxies for real-world, block-resistant scraping.

Web scraping with Claude Fable 5 turns slow data collection into a fast, mostly hands-off job. Fable 5 is Anthropic's most capable model (yet), and it can write scrapers, run them, repair its own errors, and return clean, structured data. This article walks through setup, real use cases, prompt patterns, costs, and the limits worth knowing.

No-code web scraping with n8n lets you build automated scrapers on a visual canvas – no Python, no server, no terminal. You need prices tracked weekly or listings monitored daily, but can't code a scraper or run one. This guide shows you how to use only drag-and-drop nodes that run on schedule in the cloud.

Golang Colly is a fast, callback-driven scraping framework for the Go programming language. It wraps HTTP requests, HTML parsing, rate limiting, and concurrency in a clean API, so you can pull structured data from a website with very little code. This tutorial walks you through building a working Colly scraper from an empty project all the way to proxy rotation.

Vibe scraping is the practice of building scrapers by describing goals in natural language to an LLM rather than hand-writing selectors, a concept derived from Andrej Karpathy's 'vibe coding.' This allows developers to turn prompts into working extractors as LLMs now efficiently parse DOMs, infer schemas, and write code. While it enables rapid prototyping, it introduces new failure modes like hallucinated selectors; scaling these scripts for production still requires real proxies and rendering infrastructure.

Puppeteer makes browser automation feel easy until you need to save a file to disk. Triggering a download in headless mode isn't the same as clicking a button in a real browser, and the default behavior in headless Chrome won't help you. This guide covers the full Puppeteer download file workflow: configuring CDP correctly, picking the right method for your scenario, detecting when a file truly finished, and scaling to batch jobs without leaking memory or corrupting your queue.