Collect Reviews, Ratings, Pricing, and Feature Data with G2 Scraper API

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 Python and our powerful residential proxies.

Traditional market research is the business equivalent of using a flip phone in 2026. Sure, it technically works, but why limit yourself when superior technology exists? In this guide, we'll show you how web scraping for market research gives you a competitive advantage that makes conventional research look outdated.

Businesses rely on real-time data about pricing, market trends, and their rivals' activities to make well-informed decisions and maintain a competitive edge. In fact, 98%¹ of executives agree it’s somewhat or very important to increase data analysis in their companies over the upcoming 1 to 3 years. Manual data collection methods are time-consuming, less efficient, and sometimes even provide outdated data, resulting in missed opportunities and potential loss of market share.

Fortunately, thanks to technological advancements, innovative and easy-to-use solutions like proxies and web scraping tools offer businesses a powerful way to monitor and analyze vital information efficiently.

With this in-depth article, we invite you to explore the proxy and scraping landscape, discover the pros and cons of such solutions, and learn how to identify some of the best real-time data collection options in the market matching the most popular use cases. Grab a cup of coffee and continue reading.

If you can't access the whole article, make sure you have disabled your ad blocker.

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. 

Yelp doesn't make scraping easy. The data you need is spread across multiple backend systems (no single endpoint gives you everything), and standard HTTP libraries get blocked before the first response. This guide covers every extraction method with Python, including the TLS impersonation and anti-bot techniques you need to avoid blocks at scale.

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.