Data Collection

A mobile proxy is an intermediary that routes your traffic through a cellular network. This alone sets them apart from other proxy types in terms of anti-detection, geo-targeting granularity, and content exclusivity. This guide will cover how mobile proxies work under the hood, how they stack up against residential, ISP, and datacenter alternatives, and how you can configure one for yourself.

Most developers already know jQuery for DOM manipulation – it's been the default "make the page do things" library for over a decade. So when you need to scrape some data from a web page, reaching for $('.price').text() feels instinctive. The catch is that jQuery web scraping works differently depending on where you run it. In the browser, CORS will shut you down fast. In Node.js, you need a simulated DOM before jQuery even loads. This guide covers both paths – selectors, $.get(), pagination, server-side setup with jsdom, and when to ditch jQuery for something built for the job.

cURL Basic Auth takes 30 seconds until the password has a $ in it, or a colon, or the server keeps returning 401. This guide covers every syntax variation, how to build the Authorization header manually, handling special characters, keeping credentials out of shell history and CI/CD scripts, and when Basic Auth is the wrong tool entirely.

PowerShell is already where many Windows admins, DevOps teams, and automation-minded developers handle repetitive work. That makes web scraping a natural next step when you need product prices, uptime signals, public data for reports, or quick checks from the terminal. PowerShell works well here because output is pipeable, objects are native, and CSV and JSON exports are built in. In this guide, you'll build a scraper that fetches pages, parses HTML, handles pagination and errors, uses proxies when needed, and exports structured data.

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.

Web scraping used to mean extracting data with CSS selectors, and then rebuilding your scraper every time a target changes its layout. Here's the good news: ScrapeGraph AI takes a new approach as it uses LLMs to extract data from websites based on meaning, so you can describe what you need in natural language while the library handles the rest for you. In this guide, you'll learn how ScrapeGraph AI works and how to configure it to export structured datasets in the right formats. The tools we'll use are Python, ScrapeGraph AI, and Decodo proxies.

A plain Go HTTP client only sees the HTML the server returns. That's enough for static pages. It breaks down when JavaScript renders the real content later, which is common on SPAs, infinite-scroll interfaces, and login-protected flows. chromedp solves that by driving Chrome or Chromium through the Chrome DevTools Protocol, or CDP, without a separate WebDriver layer. In this tutorial, you’ll set up chromedp, extract dynamic content, interact with pages, route traffic through proxies, run Chrome in Docker, and scale scraping with goroutines.

Java is a battle-tested choice for web scraping at scale due to its robust type safety, structured concurrency, safe multithreading, and a mature ecosystem. However, its advantage is also a major pain point: having too many libraries. From jsoup and HtmlUnit to Selenium and Playwright, these libraries exist to simplify web scraping, and yet picking "the right one" is a challenge. This guide will teach you how to choose the right tool based on your project requirements and how to handle modern scraping challenges.

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.

Puppeteer vs. Playwright is a real architectural decision for any production scraping project. The two libraries share a common origin: Playwright was built at Microsoft by engineers who previously worked on Puppeteer at Google. Yet they're different on browser coverage, language bindings, and scraping ergonomics. Performance, stealth, proxy integration, and parallel execution decide which tool fits your pipeline.

Scraping a page is simple. Crawling an entire website repeatedly, at scale, while also producing structured data that you can query, can be complex. Most scraping tools aren't designed for it, and that's what Apache Nutch is developed for. Nutch is an open source web crawler with built-in robots.txt compliance and native Apache Solr integration. By the end of this guide, you'll have a scoped crawl pipeline running and your data indexed into Solr.

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.

Web scraping without getting blocked is one of the hardest challenges you might face. Whether you’re a business conducting market research or a solopreneur working on your next big thing, most scrapers fail not because the code is wrong, but because websites now run layered detection that flags bots before a single byte of HTML is returned. This guide breaks down all the detection layers, including network, TLS, browser, and behavioral, and delivers the best techniques on how to overcome each.

Most AutoGPT tutorials stop at "get it running", but that's the easy part. The harder part that determines whether your agents are useful is connecting them to live data, and AutoGPT helps you fix that. This guide covers AutoGPT local setup, UI navigation, custom Python block development, and the integration patterns that turn AutoGPT into a production workflow tool.

Your cURL command works flawlessly in the terminal. It has for weeks. Then your boss asks, "Can you make this run in JavaScript?" and suddenly you're here. Good news: you have options. You can run the system cURL binary directly from Node.js, or you can ditch cURL entirely and use a native JavaScript HTTP client that does the same job. This article walks through both paths – child_process, node-libcurl, Fetch, and Axios, plus a flag-by-flag cURL-to-JS translation guide and a decision framework so you don't pick the wrong one.

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.

Axios POST headers are one of the most important items for JavaScript developers working with HTTP. Configure them incorrectly, and your requests fail, authentication breaks, or data gets rejected. The good news? Axios gives developers several ways to manage headers, including inline on individual requests, globally via defaults, through reusable instances, and dynamically with interceptors. This guide explores how to use Axios to set headers across all request types, covering POST, GET, PUT, and DELETE requests, plus common pitfalls and fixes.

PerimeterX, now HUMAN, is a cybersecurity platform that employs multiple detection techniques to accurately identify and block threats to web applications. Since numerous high-traffic websites rely on PerimeterX, it's almost inevitable that developers will encounter it when web scraping. This guide explains how PerimeterX detects bots, how to bypass it (tools and strategies), and how to troubleshoot common failures.