Decodo Knowledge Hub

Tired of gathering data inefficiently? Well, have you tried cURL? It’s a powerful and versatile command-line tool for transferring data with URLs. Its simplicity and wide range of capabilities make it a go-to solution for developers, data analysts, and businesses alike. Simply put, the cURL GET request method is the cornerstone of web scraping and data gathering. It enables you to access publicly available data without the need for complex coding or expensive software. In this blog post, we’ll explain how to send cURL GET requests, so you’re ready to harness its fullest potential.

Since their inception in 2000, CAPTCHAs have been crucial for website security, distinguishing human users from bots. They are a savior for website owners and a nightmare for data gatherers. While CAPTCHAs enhance website integrity, they pose challenges for those reliant on automated data gathering. In this comprehensive guide, we delve into the fundamentals of Puppeteer, focusing on techniques for CAPTCHA detection and avoidance using Puppeteer. We also explore strategies for how to bypass CAPTCHA verification, methods for solving CAPTCHAs with specialized third-party services, and the alternative solutions provided by our Site Unblocker.

Beautiful Soup is a widely used Python library that plays a vital role in data extraction. It offers powerful tools for parsing HTML and XML documents, making it possible to extract valuable data from web pages effortlessly. This library simplifies the often complex process of dealing with the unstructured content found on the internet, allowing you to transform raw web data into a structured and usable format.

HTML document parsing plays a pivotal role in the world of information. The HTML data can be used further for data integration, analysis, and automation, covering everything from business intelligence to research and beyond. The web is a massive place full of valuable information; therefore, in this guide, we’ll employ various tools and scripts to explore the vast seas and teach them to bring back all the data.

Modern websites rely heavily on JavaScript and anti-bot measures, making data extraction a challenge. Basic tools fail with dynamic content loaded after the initial page, but Selenium with Python can automate browsers to execute JavaScript and interact with pages like a user. In this tutorial, you'll learn to build scrapers that collect clean, structured data from even the most complex websites.

This comprehensive guide will teach you how to scrape Amazon product data using Python. Whether you’re an eCommerce professional, researcher, or developer, you’ll learn to create a solution to extract valuable insights from Amazon’s marketplace. By following this guide, you’ll acquire practical knowledge on setting up your scraping environment, overcoming common challenges, and efficiently collecting the needed data.

Whether you're a developer or an IT professional, data is an essential element of your everyday tasks. One of the most popular tools for data transfer is cURL (client for URL), which is embedded in almost every device that transfers data over different internet protocols.

However, when it comes to transferring data through a proxy, using cURL becomes even more critical. So, let's delve into the basics of cURL and proxies, discuss how it works, and get valuable tips on how to use cURL with proxy settings.

So, buckle up, pal, and get ready to learn how to use cURL with proxy and why it is essential in data transfer.

So, there you are, casually surfing the net, when… a CAPTCHA appears out of the blue, interrupting your flow. Yes, it’s that little test making sure you’re not a robot, and let’s face it – it can really slow down your processes. The great news? You don’t have to be stuck. It’s possible to bypass CAPTCHAs. So, buckle up, and let’s dive into the tricks that make these roadblocks the past.

If you’re new to proxies, the variety of types can be confusing. An SSL or HTTPS proxy simply refers to a proxy that uses the HTTPS protocol to create a secure, encrypted connection between your device and the proxy server.

Proxy types usually describe either the device providing the proxy (like residential or datacenter) or the connection method used. SSL/HTTPS proxies fall into the latter group, ensuring your data is encrypted and protected during transmission.

Using an SSL/HTTPS proxy helps keep your data private, secure, and compatible with most modern websites that require HTTPS connections.

This one’s gonna be serious. But not scary. We know how frightening the word “programming” could be for a newbie or a person with a little technical background. But hey, don’t worry, we’ll make your trip in Python smooth and pleasant. Deal? Then, let’s go!

Python is widely known for its simple syntax. On the other hand, when learning Python for the first time or coming to Python after having worked with other programming languages, you may face some difficulties. If you’ve ever got a syntax error when running your Python code, then you’re in the right place.

In this guide, we’ll analyze common cases of parsing errors in Python. The cherry on the cake is that by the end of this article, you’ll have learnt how to resolve such issues.

Whether you call yourself a seasoned proxy user or just starting to leverage the power of proxies, it's always good to learn a thing or two. And this time, we're talking about backconnect proxies. In short, backconnect proxies allow you to remain anonymous while accessing the internet by constantly rotating your IP address. These proxies are useful for individuals or companies who need to navigate internet restrictions, monitor competitors, or run web scraping tools.

In this guide, we'll explore everything you need to know about backconnect proxies, how they work, and what benefits you're in for. Shall we begin?

So, you’ve found yourself in need of some images, but looking for them individually doesn’t seem all that exciting? Especially if you are doing it for a machine learning project. Fret not; data scraping comes in to save the day as it allows you to collect massive amounts of data in a fraction of the time it would take you to do it manually. 

There are quite a few tutorials out there, but in this one, we’ll show you how to get the images you need from a static website in a simple way. We’ll use Python, some additional Py libraries, and proxies – so stay tuned.

Web scraping should be simple. Yet, choosing the right solution often feels like a challenge – different APIs for different targets, multiple subscriptions, and unnecessary complexity. That’s why we’re introducing a more convenient way to collect data from various targets – our four scraping APIs are becoming one, more powerful than ever, Web Scraping API. Now, you can collect data from all targets – eCommerce, SERPs, social media, and web, with one unified API.

If you’re here, you already know Amazon constantly tweaks product prices. The eCommerce giant makes around 2.5 million price changes daily, resulting in the average item seeing new pricing roughly every ten minutes. For sellers, marketers, and savvy shoppers, that creates both a challenge and an opportunity.

This comprehensive guide walks you through proven methods – from Excel's built-in tools to powerful scraping APIs that can simplify your Amazon price monitoring workflow.

When it comes to gathering online data, two terms often create confusion: web crawling and web scraping. Although both involve extracting information from websites, they serve different purposes and employ distinct methods. In this article, we’ll break down these concepts, show you how they work, and help you decide which one suits your data extraction needs.

Amazon is the go-to destination for online shoppers – and with that comes a treasure trove of customer reviews. These reviews provide invaluable insights for businesses looking to understand consumer preferences, researchers tracking market trends, and shoppers making well-informed decisions. In this guide, we’ll explore the types of data you can extract from Amazon reviews, outline various scraping methods, and show you how to efficiently scrape reviews using Python and our powerful residential proxies.

Choosing the right proxy type is essential for optimizing performance, security, and efficiency in web data collection. SOCKS and HTTP proxies serve different technical needs, from handling large-scale web scraping projects to managing automation and secure connections. In this article, we’ll compare SOCKS (SOCKS5 in particular) and HTTP proxies, explore their advantages, and help you determine which option best supports your data-driven tasks. By the end, you’ll have the clarity to make an informed decision and scale your operations with confidence.

TikTok has become a goldmine of user-generated content and social media insights. With over 1 billion active users creating millions of videos daily, the platform offers unprecedented opportunities for data analysis, trend monitoring, and business intelligence. This comprehensive guide shows you how to scrape TikTok data effectively using Python.

Web scraping without proper data storage wastes your time and effort. You spend hours gathering valuable information, only to lose it when your terminal closes or your script crashes. This guide will teach you multiple storage methods, from CSV files to databases, with practical examples you can implement immediately to keep your data safe.

The terminal might seem intimidating at first, but it's one of the most powerful tools for Python development. The terminal gives you direct control over your Python environment for such tasks as running scripts, managing packages, or debugging code. In this guide, we'll walk you through everything you need to know about using Python in the terminal, from basic commands to advanced troubleshooting techniques.

From web scraping to getting around geo-blocks, IPs play a huge role in how the internet works behind the scenes. But there’s a flip side – using a free or random IP from a sketchy provider can cause way more trouble than you’d expect. It can break compliance rules, mess with your data, or even lead to bigger operational and reputational problems. Dive into this article to learn more about the risks of random IP addresses.

In 2025, MCP has shifted from niche adoption to widespread use, with major platforms like OpenAI, Microsoft, and Google supporting it natively. Public directories now feature thousands of MCP servers from community developers and vendors, covering everything from developer tools to business solutions.

In this guide, you'll learn what MCP is and why it matters for real-world AI agents, which 10 MCP servers are currently most useful, and how to safely choose and combine MCPs for your setup.

Launched in June 2023, Janitor AI quickly became a standout in the conversational AI space. More than just a chatbot platform, it combines human creativity with AI flexibility, making it ideal for developers building dynamic tools and casual users seeking lifelike, role-play-ready companions. Time to meet your chiseled, charismatic AI partners and see what they’re really made of.

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 2025.

Google Lens has revolutionized how we interact with visual content – it allows users to search the web using images rather than text queries. This powerful visual search engine can identify objects, text, landmarks, products, and much more from uploaded images. In this guide, we'll explore the types of data that can be scraped from Google Lens, examine various methods for extracting this information, and demonstrate how to efficiently collect visual search results using our Web Scraping API.

Web scraping has become increasingly complex as websites deploy sophisticated anti-bot measures and dynamic content loading. While traditional scraping approaches require extensive manual coding and maintenance, artificial intelligence offers a transformative solution. Claude, Anthropic's advanced language model, brings unique capabilities to the web scraping landscape that can dramatically improve both efficiency and effectiveness.