Data Collection

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 Scraping API.

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.

Dynamic pricing, a strategy where prices of products or services are adjusted in real-time based on demand, supply, competitor pricing, and other factors, has become a popular practice in modern-day eCommerce.

Our recently published Dynamic Pricing Index dives deeper into the global landscape of this practice, revealing some intriguing trends. Interestingly, the leading countries in dynamic pricing are not from the traditionally dominant markets of Europe or North America but from the Asian continent. Turkey, the United Arab Emirates (UAE), and India have emerged as the top practitioners of dynamic pricing, with scores well above the global average.

While European countries dominate the eCommerce Maturity Index by providing the most holistic eCommerce experience, they’re less advanced in adjusting their pricing strategies according to the buyer’s demand, peak shopping days, and competitors.

In 2006, British mathematician Clive Humby coined the phrase "data is the new oil." He pointed out that "much like oil, data holds significant value," meaning that big data’s potential remains untapped without proper structure and refinement. Over the next 18 years, more companies started collecting large amounts of data to get a bird’s eye view of the competition, unlock new growth opportunities, and explore the ever-changing user behavior. And in the AI era, more businesses are exploring the ability to employ robots to do their time-wasting data collection tasks.

Online marketplaces are beloved for offering everything from items we don’t need to treasures we didn’t know we were missing. For music lovers and collectors, Discogs stands out as the go-to destination – think of it as the IMDb of music records. Whether you're analyzing vinyl market trends, tracking the value of rare releases, or building a personal archive, Discogs is an unmatched resource. In this tutorial, you’ll learn how to scrape Discogs using Python, step by step, to unlock the data behind the music.

Standards are a means to clear and define communication between people and things in the world. For example, the human language, USB sockets on computers, or the fact that you must add cereal before pouring milk. When it comes to computer applications and systems, one standard stands out above the rest as the most popular choice for developers – XML (eXtensible Markup Language). In this article, we’ll explore how you can parse data from XML files using Python’s built-in libraries, see the best methods to do so, and understand the importance of effectively reading information.

In this article, we’ll explore the different kinds of errors and exceptions, what causes them, and provide solutions to solving them. No more headaches and cursing your code until it gets scared and starts working – master the language of Python to understand precisely what it wants from you.

Does web scraping take too much of your and your team's time? Struggling to balance efficiency with cost-effectiveness? Well, we’ve got great news for all you tech enthusiasts! Decodo hosted an exclusive webinar: “Web Scraping Efficiently: Save Your Team’s Time and Costs”.

By registering via the link above, you can replay the webinar for free. From seamless tool integration to savvy scraping practices, join us and improve your team’s approach by boosting productivity and cutting costs.