Scrape Amazon Reviews: Full Guide

Let’s be honest, customer reviews are a goldmine. As an Amazon seller, they can help you tell what buyers love, what they hate, and what could make your product a bestseller. But there’s one problem: manually digging through thousands of reviews is a nightmare. With a store to manage, competitors to outshine, and quality products to deliver, you don’t have time for that.

Maybe you’ve tried Python scripts, copying and pasting reviews into a spreadsheet, or even skimming through pages hoping to spot valuable insights. But let’s face it; that’s time-consuming and inefficient.

Good news: there’s a much simpler way to scrape Amazon reviews. In this blog, we’ll show you how without touching a single line of code—no tech skills required, just a straightforward solution that works. Let’s get started.

But first, let’s understand;

Why Everyone Asks You to Use Python when Scraping Amazon Reviews

Let’s clear something up first. We are not against using Python. All we are saying is that there’s a more straightforward way.

So, is Python a good alternative? Yes! It has a powerful range of libraries and tools, such as BeautifulSoup. These tools turn complex tasks into manageable and enjoyable processes.

Moreover, advanced users get the necessary flexibility, especially with complex demands.

But let’s be real for a second: Code is not for everyone. And don’t get us started on the advanced learning gap—it’s pure chaos!

Let’s take the example above. If you are a beginner, encountering such a challenge can be hectic and stressful. On the other hand, a pro Python user can easily spot the problem and correct it in seconds.

That’s why we recommend using an Amazon Review Scraper as a better, faster, and easier solution.

There you have it—we spilled it! Amazon Review Scraper is your secret tool for extracting all the reviews you need. This is not just for beginners but also for anyone looking for a hassle-free scraping experience.

What is an Amazon Review scraper?

An Amazon review scraper is a tool or software that identifies Amazon products and extracts customer reviews and data.

Here’s a breakdown of the data types that can be extracted:

The Review Content	This is the text from the review, including the review title.
Rating	This is the star rating given by the reviewer.
Reviewer Details	This includes the reviewer's username and profile information. Note that, depending on their privacy settings, you might be unable to access their full details.
Date	This is the date the review was posted.
Helpful Votes	This is the number of users who found the review helpful.
Verification	Whether the review was from a verified purchase or not.
Product Information	Consists of details like product title, ASIN number, brand, and price.

Who Benefits the Most from Using Amazon Review Scrapers?

Amazon reviews are very rich in unstructured data. When well interpreted, this data offers insights into:

Customer sentiment
Product Performance
Market Trends

While the data’s value is universal, specific groups of people can benefit more. Let’s break them down:

1. Amazon Sellers & Third-Party Vendors:

Most Amazon sellers rely on reviews to:

Optimize product listings
Address customer pain points
Outperform their competitors

Since manual analysis of thousands of reviews is impractical, scrapers become very helpful.

They enable:

Competitor Benchmarking: This allows you to extract reviews from rival products and identify recurring complaints. You can then position your product as a better alternative.

Review Driven SEO: You can use them to gather high-traffic keywords from reviews. You can then use them to optimize your titles and backend search terms.

2. Market Researchers:

By gathering and reviewing the large review dataset, researchers can:

Understand broader market trends.
Know customer preferences.
Identify potential areas of opportunities.
Map feature demands by clustering reviews to identify unmet needs.
Conduct pricing strategy validation to correlate reviews with price changes.
Conduct regional preference analysis to tailor products for local markets.

3. Product Development Teams:

Customer reviews can help inform product design as well as feature development decisions.

If you notice that customers keep complaining about a specific feature, you can either;

Try to make the current product more efficient, or
Make the next product better and offer it as a solution.

By doing this, customers will always feel that the developed products meet their demands, resulting in +more sales.

How to Use Scrapelead's Amazon Review Scraper

For this particular example, we’ll be using our Amazon Reviews Scraper.

Here are the 5 easy steps to scrape your reviews:

Step 1: Sign Up for free.
Step 2: Copy the URL of any Amazon product review you want to extract.
Step 3: Paste that URL into our Amazon Review Scraper.
Step 4: Click the “Start” button and allow the scraper to run.
Step 5: Get your data, then download it in CSV, JSON, or Excel format.

But why go for this scraper, not the others in the market?

High Accuracy: Get reliable and accurate data with no guesswork.
It’s easy to use: Copy your link and let the scraper extract your data.
You don’t need any coding skills: Making it a suitable choice.
Export your data easily: You can get your data in either CSV, JSON, or Excel formats.
Very affordable: The scraper is quite pocket-friendly and still guarantees value.

NOTE: If you sign up, you’ll get 500 free credits to explore the scraper.

How to Deal With Amazon's Anti-Scraping Measures

Amazon gets very strict when it comes to data protection.

You need to understand their terms and scraping policies to ensure your safety and ability to collect reviews.

Here’s how you can stay in the clear:

1. Use Rotate Residential Proxies

These proxies can help mask your IP address in real-time. Our scraper offers a pool of IPs to help you do this.

You can also configure your proxies to rotate with each request you make.

2. Only extract publicly available data

It is illegal to extract data that an individual does not publicly share. This data includes private records and even bank and card details.

To stay safe, always respect people’s privacy and avoid trying to get such information.

3. Solve CAPTCHAs strategically

One thing about Amazon is that they’ll track every single thing you do on their website.

Immediately they notice any odd activity, you’ll start getting:

HTTP 503 errors
Sudden inability to access product pages
Redirects to anti-bot pages or blocked requests
“Verify you’re human” pages interrupting sessions

To avoid such interruptions, use CAPTCHA-solving APIs and headless browsers. These tools allow you to mimic human behaviour and reduce the number of CAPTCHA triggers.

Let's Wrap Up

Amazon review scraping is one of the best ways to understand what customers really want. It’s like accessing all these customers’ brains and understanding their triggers.

Although various Amazon review scrapers are available, most are either too pricey or don’t deliver accurate results.

With our Amazon Review Scraper, you get value for your money and accurate data, which you can use to grow your ecommerce business.

Remember, it’s not about the pricing but the quality of scraped reviews you’ll get. Scraping doesn’t have to be costly; at Scrapelead, we guarantee that, hence the affordability.

So, take action now and start building an ecommerce business driven by what is in demand.

FAQ

Is there a way to export Amazon reviews?

Using our Amazon Review Scraper, you can export the scraped Amazon reviews in different formats, such as CSV, JSON, and even Excel.

Is it legal to scrape from Amazon?

Yes, as long as you extract and use the data correctly and ethically. Scrapelead only allows you to extract publicly available data; how you use it is up to you.

Can you scrape Amazon for prices?

It’s possible to scrape Amazon for prices. Our Amazon product scraper allows you to extract the current, discounted, and original product prices.

Is using an Amazon Reviews Scraper better than Python?

If you are a beginner or lack coding skills, using an Amazon review scraper is your best alternative.