Data Collection

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.

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.

Browser-use is a Python library that lets an AI agent control a real browser – navigating dynamic pages, submitting forms, and extracting structured data without brittle selectors. Unlike traditional headless browser setups wired to rigid rules, it reasons with what it sees and adapts. By the end of this guide, you'll have a working agent scraping product data, interacting with web apps, and handling failure scenarios.

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.

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.

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.

Playwright MCP is one of the most accessible ways to get started if you need data from a website but do not want to write scraping code. It enables an AI application or agent to control a browser, interact with web pages, and extract content just like a regular user would. In this article, you’ll learn what Playwright MCP is, how to set it up, and how to use it to scrape websites with natural language.

You've likely encountered “REST API” in documentation, job descriptions, or technical discussions, but what is a characteristic of the REST API? While APIs power everything from mobile apps to enterprise integrations, most developers implement them, ignoring their architectural constraints. In this guide, we'll break down the six characteristics of REST APIs from Roy Fielding's 2000 dissertation and explain why they matter for building scalable, maintainable systems.

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.

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.

nodriver is a Python package for browser automation and web scraping built as the successor to undetected-chromedriver. It skips the usual WebDriver layer, talks to Chrome more directly than Selenium, and uses an async-first design. In this guide, you'll learn what nodriver is, how it works in Python, and where it fits for scraping JavaScript-heavy pages when basic browser automation starts showing its limits.