Data Collection

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.

Facebook is like a dinosaur that’s yet to go extinct. Founded in 2004, it’s still part of 1.9 billion people’s daily lives worldwide. And do you know what disrupts daily life like nothing else? Technical glitches. One such frustrating issue that Facebook users sometimes encounter is the Session Expired error.

In this blog post, let’s shed light on this Facebook error: what does it mean, what causes it, and what are some practical solutions to resolve it, whether you’re just browsing Facebook or scraping its data.

Look no further, buddy. A powerful tool for gathering public data is already here. Say hi to our newly launched product – Site Unblocker!

Folks, we have some exciting news for you today. We just released the first dedicated Social Media Scraping API in the market. Woot woot!

This all-in-one solution is designed to simplify real-time and on-demand data collection at scale. Yup, no worries about managing proxies, several scrapers, and parsers – we handle it all for you, so you can focus on the data insights you seek.

Nowadays, web scraping is essential for any business interested in gaining a competitive edge. It allows quick and efficient data extraction from a variety of sources and acts as an integral step toward advanced business and marketing strategies.

If done responsibly, web scraping rarely leads to any issues. But if you don’t follow data scraping best practices, you become more likely to get blocked. Thus, we’re here to share with you practical ways to avoid blocks while scraping Google.

At Decodo, we’re always cookin’ up new ways to make scraping a breeze. Starting from eCommerce Scraping API to our most recent creation — Web scraping API. And don’t let anyone tell you that proxies and scraping are as complicated as rocket science. It could actually be a rather simple (and sometimes even fun) process!

But let’s be real, even the top guns extracting data from eCommerce giants like Amazon might get those pesky CAPTCHAs or worse — IP ban. Luckily, we’re offering a complete toolbox that will help you hop around the geo-restrictions, avoid errors & bans and get that sweet 100% success rate with ready-to-digest data.

An Instagram profile scraper allows you to gather public Instagram profile data. Instead of building a scraper yourself, use our Social Media Scraping API. In this blog post, you’ll get Python code samples for real-time and on-demand data collection at a 100% success rate. Avoid blocks and errors and scrape with a shielded IP – check out this game-changing scraping tool and follow our step-by-step guide on how to set it up!

The American company Amazon and its founder (the second richest and possibly the first most disliked person in the world) don’t need long introductions. Today Amazon is a giant in e-commerce, cloud storage, digital streaming, artificial intelligence, logistics, etc.

We’ll focus on the e-commerce side of Amazon. Simply put, it’s the world’s leading online retailer. According to certain statistics, 90% of shoppers compare the price and quality of a product on Amazon even if they find it on another website. So if you’re a seller, you’ll be interested in following the trends on Amazon to be able to adapt to the market.

In this article, we’ll go over the benefits of scraping Amazon and how to do it right.

Social media scraping can look like a tough nut to crack due to strong anti-bot systems. Gladly, it’s not a rule, at least in Telegram’s case. This platform supports various Telegram bot automation, making the scraping process easier. 

There’re a lot of ready-built solutions for that, but you can easily make one yourself with a bit of coding and the Telegram API. Yes, this platform even has its own API! Dope, innit?

A widely available internet leaves the door open for people to find information about everything. For example, everyone can check a business's online presence before trusting it. So, everything that could be found online about your brand helps your potential audience evaluate if you’re legit.

Statistics only prove that – 9 out of 10 online shoppers admit that reviews influence their buying decisions. It stands to reason – checking unbiased opinions helps avoid low-value products and potential scams. And who wants that? So, for businesses analyzing their customers’ reviews becomes a not-to-miss-out factor.

However, reviews are just one part of the game. Brand reputation management consists of various elements that form the customers' perception of the company. If it’s still a gray area for you, this blog post could be your starting point. 

Data is the new oil, which helps drive businesses and make better-informed decisions. For a long time, companies relied on traditional data (usually gathered internally or from official sources) to predict overall market trends, analyze competitors, and understand customer behavior. 

However, alternative data has become the new cool, which can aid almost any business, investors, financial institutions, or just simple people like you and me. And with proper proxies, gathering such data is a piece of cake. 

Google has become a gateway to easily-accessible information. And one of the best ways to make use of Google’s limitless knowledge is data scraping. We’ve just released a detailed blog post about scraping Google SERPs with Python, where we cover lots of useful info, including the technical part. So before you dive into this tutorial – check it out.

But what if Python is not exactly your forte? This blog post will show you how to scrape SERPs using a simpler method. One that doesn't require much tech knowledge or downloading loads of applications and software. So, what do you know about web scraping with cURL and Terminal?