Data Collection

The process of data collection is vital in all kinds of industries. It helps businesses learn about the market, know their customers better and adapt to their needs. Data collection can be automated by scraping a set target. It’s extra useful for analyzing business competition, records, trends, and other data.

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Top Python Scraping Libraries: Overview, Comparison, and How to Choose the Right One

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.

How To Use ScrapeGraph AI for Web Scraping in 2026

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.

Golang Headless Browser: Complete chromedp Tutorial

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.
Web-scraping dashboard showing 'Response' JSON with 'status_code':200 and 'Live preview' button on dark gradient background

Java Web Scraping Libraries: How to Choose and Use the Best Tools for Your Project

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.
Web-scraping interface showing 'Start scraping' and a JSON panel labeled 'Response' with 'Live preview' on a dark dotted background

Wait for Page to Load in Beautiful Soup: Why It Fails and How to Fix It

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: Which Tool Is Better for Web Scraping?

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.

Apache Nutch Tutorial: Install, Crawl, Index, and Automate

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.
Dashboard UI showing response JSON with "status_code":200 and "url":"https://example.com" on dark gradient background

How to Use a Cloudflare Scraper for Data Extraction

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.

Code panel showing HTML request beside 'Proxies enabled' and 'Your data is ready!' cards on dark gradient background

Web Scraping Without Getting Blocked: A Practical Guide for 2026

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.

Player with play icon and progress bar, code card 'Artificial Intelligence Converting HTML into structured data' on dark grid

Wait for Page to Load in Playwright: A Practical Guide to Every Waiting Method

Modern web apps don’t load everything at once, so running scripts too early leads to missed data, broken actions, and flaky results. In this guide, you'll learn how to handle waiting in Playwright, including how it behaves in a headless browser environment, covering auto-waiting, selectors, network events, timeouts, custom conditions, and error handling across dynamic pages.

AutoGPT Integration Guide: Set Up, Customize, and Connect Your AI Agents to External Data

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.

Web Scraping with Linux and Bash

Bash may not be the go-to tool for web scraping, but it's more capable than you'd think. This article covers how to make HTTP requests from the Linux command line, parse HTML and JSON output, set up proxy support with Decodo, schedule scrapers using cron and systemd timers, and build a fully working Bash-based scraper from scratch.

undetected_chromedriver: Guide to Avoid Detection Online

Standard Selenium ChromeDriver is blocked by most protected websites in the first few requests. Anti-bot services like Cloudflare, DataDome, and HUMAN (formerly PerimeterX) can detect automation flags, WebDriver properties, and browser fingerprint gaps before the first page finishes loading. The undetected_chromedriver library patches ChromeDriver to reduce these detection signals and works as a drop-in Selenium WebDriver replacement. This guide shows what actually gets flagged, how the patches work, and how to fill the gaps with proxies and behavioral techniques.

How to Use cURL in JavaScript: Fetch, Axios, and Best Practices

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_processnode-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.

How to Scrape Shopify Stores: Complete Developer Guide

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.

How To Set Axios POST Headers and Manage Headers Across All Request Types

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.

How to Bypass PerimeterX: Detection Methods, Tools, and Practical Workarounds

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.

How To Scrape Emails From a Website: Python Tutorial

Scraping emails from a website is essential for lead generation, partner research, and CRM enrichment. However, to reliably scrape emails from a website, you need to handle multiple formats, including mailto links, plain-text addresses, obfuscated strings, and JavaScript-rendered content. This guide shows how to safely build a Python email scraper and scale it into a multi-page crawling workflow.

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