Data Collection

Web scraping is a powerful tool driving innovation across industries, and its full potential continues to unfold with each day. In this guide, we'll cover the fundamentals of web scraping – from basic concepts and techniques to practical applications and challenges. We’ll share best practices and explore emerging trends to help you stay ahead in this dynamic field.

Google has recently announced a significant change to its search functionality: users must now have JavaScript enabled to view search results. This update marks a shift in how Google delivers its information, causing significant disruptions and raising concerns for developers and SEO experts relying on traditional scraping methods.

Have you been on a shopping spree on Amazon and suddenly got stopped in your tracks by the "Sorry, something went wrong on our end" error? The page displays photos of beautiful dogs of Amazon, but neither "sorry" nor the dogs will help with your frustration. This error can interrupt your browsing and purchasing in an instant, so what can you do? In this blog post, we’ll dive into the causes of this error, ways to troubleshoot it, and tips to avoid it in the future so your shopping adventures remain enjoyable.

Welcome to 2026! What better way to celebrate than by mastering Python? If you’re new to web scraping, don’t worry – this guide starts from the basics, guiding you step-by-step on collecting data from websites. Whether you’re curious about automating simple tasks or diving into more significant projects, Python makes it easy and fun to start. Let’s slither into the world of web scraping and see how powerful this tool can be!

Web scraping can feel like directing a play without a script – unpredictable and chaotic. That’s where Playwright steps in: a powerful, headless browser automation tool that makes scraping modern, dynamic websites smoother than ever. In this practical tutorial, you’ll learn how to use Playwright to reliably extract data from any web page.

Imagine you want to collect ASINs (Amazon Standard Identification Numbers) for all the products that appear on Amazon after searching for a specific item. This can be incredibly useful for tasks like market research, competitor analysis, or managing your own product listings. With our Amazon scraper, you can easily gather these ASINs directly from the search results, making the data collection process quick and efficient. In this guide, we’ll show you how to use our ready-made Amazon scraper to extract ASINs and explain how this information can benefit your business.

Only 2% of discounted products are cheapest on Black Friday, but why are so many people still crazed about buying something? Since the first big Black Friday, this shopping festival got the tag as the best day to buy various items in brick-and-mortar and online stores. However, with record sales every year and growing competition, retailers have started to employ advanced strategies during this shopping season, making many of these deals not as valuable as they might appear.

Amazon is the ultimate shopping platform, serving as a vast database of current, competitive pricing information. For anyone looking to track eCommerce prices, explore trends, or gain insights for competitive analysis, scraping Amazon prices is a powerful way to gather such data. In this guide on how to scrape Amazon prices, we’ll dive into the essential methods and tools available to help you gather pricing data and keep an eye on the latest deals and price changes.

Google Images is arguably the first place anyone uses to find photographs, paintings, illustrations, and any other visual files on the internet. Its vast repository of visual content has become an essential tool for users worldwide. In this guide, we'll delve into the types of data that can be scraped from Google Images, explore the various methods for scraping this information, and demonstrate how to efficiently collect image data using our Web Data API.

Leveraging large language models (LLMs) for data analysis revolutionizes how we extract insights and make informed decisions. These advanced AI tools can process vast amounts of data, identify patterns, and generate meaningful interpretations with remarkable accuracy and efficiency. If you want to effectively support your business, knowing how to use LLM for data analysis is essential.

Since there are over 2.14 billion online shoppers worldwide, understanding how to scrape products from eCommerce websites can give you a competitive edge and help you find relevant data to drive your business forward. In this article, we’ll discuss the 4 fundamental steps to scraping eCommerce sites and how to avoid some of the most common pitfalls.

Web scraping is a powerful technique used by businesses and researchers to extract data from websites. Whether you're trying to gather valuable market insights or simply looking to automate repetitive tasks, web scraping can be a game-changer. In this article, we'll explore how you can determine if a website allows scraping.

The global proxy market is projected to reach a staggering $6 billion by 2025. That's right – proxies have become an essential tool in the digital world, and reselling proxies can be a lucrative business opportunity.

Whether you're an entrepreneur looking for a side hustle or a tech enthusiast wanting to make some extra cash, this comprehensive guide will walk you through everything you need to know about how reselling proxies works.

The "Fatal Error: Reached Heap Limit Allocation Failed - JavaScript Heap Out Of Memory" error might seem like a scary mouthful, but understanding it is crucial for optimizing your application's performance and preventing crashes. Think of the JavaScript heap as a bag: pack it too full, and it’ll split at the seams. The error message is your warning that the bag is overloaded and you must make some room or grab a bigger one. Let’s unpack this issue and find out how to make more room for your data.

In our comprehensive eCommerce Dynamic Pricing Index, we delved into the prevalence, frequency, and complexity of dynamic pricing techniques across various product categories. Our analysis reveals fascinating insights, particularly highlighting the fashion sector as a frontrunner in the use of advanced dynamic pricing strategies.

When shifting our focus from Europe to North America, particularly the United States, a striking contrast emerges in the eCommerce Maturity Index. While Canada aligns closely with the top performers of Europe, exhibiting similar levels of performance across various dimensions, the United States stands out in two key areas – Reviewing and Investigating.

While Europe stands united in striving to provide an excellent eCommerce experience for shoppers around the continent, not all countries perform equally well across all dimensions of the eCommerce Maturity Index. The performance drop is extremely visible in the Investigating dimension, which evaluates how well eCommerce websites provide critical background information about their offerings.

When examining the top-ranking countries on the eCommerce Maturity Index, it becomes clear that Europeans are setting the global standard in creating the best experience for their users. Marketplaces in countries such as Belgium, Lithuania, Germany, Sweden, and Spain are at the forefront, demonstrating their ability to provide the most intuitive and user-friendly eCommerce experience.