Ethical Web Data Collection Initiative (EWDCI), an international consortium of web data aggregation business leaders whose co-founder is Decodo, has recently published an insightful Q&A session with our CEO, Vytautas Savickas.

Accessible through Chrome Developer Tools, Safari’s Develop menu, and Firefox Web Developer Tools, the "Inspect Element" is a powerful feature used by web developers, digital marketers, and any ol’ internet users. It allows them to dive into the underlying structure of any website, including its HTML, CSS, and JavaScript, and analyze the page’s structure, test real-time code changes, or collect data for competitive analysis, among other purposes. In this blog post, we’ll explore the benefits of "Inspect Element" and how to use it effectively.

There’s no reliable Python application that doesn’t have a built-in failed HTTP request handling. You could be fetching API data, scraping websites, or interacting with web services, but unexpected failures like timeouts, connection issues, or server errors can disrupt your workflow at any time. This blog post explores strategies to manage these failures using Python’s requests library, including retry logic, best practices, and techniques like integrating proxies or custom retry mechanisms.

Web scraping is vital for businesses, developers, and marketers, but not everyone needs advanced features or costly solutions. After all, web scraping is about efficiency, accuracy, and having the right tools for the job without any unnecessary overhead. That’s why we’re thrilled to introduce our Core Scraping API plans – streamlined for essential tasks. Collect data from platforms like Amazon and YouTube at just $0.10 per 1,000 requests. Curious? Take advantage of our 7-day free trial!

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 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.

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.

Artificial intelligence is transforming various fields, ushering in new possibilities for automation and efficiency. As one of the leading AI tools, ChatGPT can be especially helpful in the realm of data collection, where it serves as a powerful ally in extracting and parsing information. So, in this blog post, we provide a step-by-step guide to using ChatGPT for web scraping. Additionally, we explore the limitations of using ChatGPT for this purpose and offer an alternative method for scraping the web.

Nowadays, the price of your favorite product could change at any moment – a few dollars more expensive or, if you're lucky, cheaper by the minute. For savvy shoppers and businesses alike, tracking these changes can offer a competitive edge. In the highly challenging landscape of American eCommerce, some platforms stand out for their dynamic pricing strategies, adjusting costs so frequently it feels like a game of cat and mouse.

This time, our experts explored the eCommerce Dynamic Pricing Index even further, and we’re about to uncover the top 5 eCommerce platforms in the United States and Canada, where prices never sit still. Also, we’re analyzing the purpose of dynamic pricing for eCommerce websites and how businesses and shoppers benefit from this practice.

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.

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.

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.

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.

A proxy protocol is a set of rules that govern how internet traffic is intercepted, routed, and processed between clients and servers. When it comes to widely used proxy protocols, HTTP often steals the spotlight, leaving SOCKS proxies overlooked despite their flexibility. To help you decide if SOCKS proxies are right for your needs, this blog post will break down what they are, explain how they differ from other proxy types, explore their benefits and drawbacks, and look at the most common use cases.

We know the story. You’ve been running around Instagram young, wild, and free until you got slapped with the infamous feedback_required error. Yep, it’s a real pain in the rear how it stops you in your tracks and leaves you confused. But fear not – errors happen to the best of us. In this blog post, we’ll explain the feedback required Instagram error and give tips on how to fix it and prevent it.

Scraping Amazon without proxies leads to IP bans, CAPTCHAs, and rate limits, making data collection nearly impossible. Proxies are essential for bypassing these defenses and accessing vital pricing and product data. This guide explains why scraping Amazon is challenging, how proxies can help, and which types of proxies are most effective for reliable, large-scale Amazon data extraction.

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.

HTTP proxies are one of the most common types of proxies, widely supported across various proxy types, including residential, mobile, datacenter, and static residential proxies. Designed specifically to handle HTTP and HTTPS traffic, they’re a versatile solution for tasks like anonymizing browsing, bypassing geo-restrictions, and optimizing network operations. In this blog post, we’ll explore what HTTP proxies are, their use cases, and practical solutions to common errors.

As a proud member and the co-founder of the Ethical Web Data Collection Initiative (EWDCI), we’re taking all the necessary steps to ensure our services meet all the highest legality, ethics, ecosystem engagement, and social responsibility standards.

One of the most important steps that allow us to provide high-quality publicly available data collection services is ID verification. It’s a crucial step for users seeking to unlock additional features and targets.

Explore how ID verification can help you access popular target groups, particularly with residential proxies.

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.

Ever wondered how to extract valuable business data directly from Google Maps? Whether you're building a lead list, analyzing local markets, or researching competitors, scraping Google Maps can be a goldmine of insights. In this guide, you’ll learn how to automate the process step by step using Python – or skip the coding altogether with Decodo’s plug-and-play scraper.

Since the late 2000s, web scraping has become a crucial method for extracting public data – and a major advantage for those who master it. One of the biggest challenges? Handling websites that load content dynamically with JavaScript, often delaying the data you want to extract. Traditional scraping tools usually fall short here, but that’s where Selenium with Python shines. In this step-by-step tutorial, you’ll learn how to scrape dynamic web pages efficiently using Selenium, complete with a working Python example and a video walkthrough to follow along.

Google Scholar is a free search engine for academic articles, books, and research papers. If you're gathering academic data for research, analysis, or application development, this blog post will give you a reliable foundation. In this guide, you'll learn how to scrape Google Scholar with Python, set up proxies to avoid IP bans, build a working scraper, and explore advanced tips for scaling your data collection.

Google Shopping is a product search engine that aggregates listings from thousands of online retailers. Businesses scrape it to track competitor pricing, spot trends, and gather valuable eCommerce insights. Using APIs, no-code tools, or custom scripts, you can extract data like product titles, prices, ratings, and more. In this guide, we’ll build a custom scraping script using Python and Playwright!

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.

A rotating proxy is a proxy server that automatically assigns a new IP address at regular intervals or after each connection. In this guide, we'll delve into how rotating proxies work, the different types available, and the most common use cases where they offer a clear advantage.

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 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.

Business success is driven by data, and few data sources are as valuable as Google’s Search Engine Results Page (SERP). Collecting this data can be complex, but various tools and automation techniques make it easier. This guide explores practical ways to scrape Google search results, highlights the benefits of such efforts, and addresses common challenges.

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. Instagram and massive sales from it.

Competitor analysis in Google Ads equips businesses with the tools to scrutinize rivals, adapt to market trends, and enhance advertising strategies. By continuously monitoring competitors and leveraging their insights, you can boost performance, maximize ROI, and secure a competitive edge. In this blog post, we cover key metrics, essential tools, and strategic insights to help you optimize campaigns and stay ahead of the competition.

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.

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.

Proxies act as intermediaries between your device and the internet, helping mask your IP, bypass geo-restrictions, and enable tasks like web scraping. But some proxies are slow, easily blocked, or insecure. That’s why in this blog post, we’ll show you how to test proxies to ensure they deliver the performance, reliability, and anonymity your use case demands.

Google Finance is one of the most comprehensive financial data platforms, offering real-time stock prices, market analytics, and company insights. Scraping Google Finance provides access to valuable data streams that can transform your analysis capabilities. In this guide, we'll walk through building a robust Google Finance scraper using Python, handling anti-bot measures, and implementing best practices for reliable data extraction.

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 our powerful Amazon Scraping API.