Big Data

Amazon is the ultimate destination for online shoppers, so naturally, it’s also a goldmine of customer reviews. These reviews offer insights for businesses aiming to understand consumer preferences, researchers analyzing market trends, and shoppers making informed decisions. In this guide, we'll explore the types of data available from Amazon reviews, discuss various methods for scraping this information, and demonstrate how to scrape reviews from Amazon using our eCommerce Scraping API.

Artificial Intelligence powers everything from chatbots to complex data analysis tools. But behind the sleek interfaces and impressive capabilities lies a hidden process – the petabytes of data collected. We sat down with our CEO, Vytautas Savickas, to discuss the AI revolution and how data is being collected to fuel various tools.

Scraping static web pages can be challenging, but Cheerio makes it fast and efficient. Cheerio is a lightweight Node.js library that parses and manipulates HTML using a syntax similar to jQuery. This guide covers key concepts, practical code examples, and essential techniques to help you extract web data with ease—no matter your experience level.

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.

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.