How to Scrape Amazon Product Data [Step By Step Guide]

Hiren Patel
ProWebScraper
Published in
7 min readJun 20, 2020

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Do you badly need Amazon product data?

Well, who doesn’t?

Anybody and everybody who is into e-commerce business in some way wants, and need Amazon data. Scraping Amazon data is a widespread phenomenon today. You may think that only the small companies may need to scrape Amazon data. You will be astonished to know that even a great stalwart like Walmart has reportedly scrapped Amazon data to keep track of prices etc., and accordingly aligned their policies and strategies.

The question, however, is how to scrape Amazon data? There are various web scraping tools to get it done but what if you could build an Amazon Scraper specially designed to extract product data like price, title, seller, rating, specification, product description, etc.?

It would be great, wouldn’t it?

In this blog, you will learn how to build an Amazon Scraper. To make it absolutely easy, we will build this scraper using ProWebScraper right from scratch.

Let’s get started then!

What data will we scrape?

This Amazon Scraper will extract the following fields from the product page:

  1. Title
  2. Rating Stars
  3. Rating Counter
  4. Price
  5. Product description
  6. Availability
  7. ASIN

Watch below video which shows how most of the above data can be scraped from Amazon product detail page using ProWebScraper.

Please take a look at the screenshot of the data we will extract from Amazon.

Let’s get going!

To make it absolutely easy for you to understand and execute, we have worked out 3 distinct stages of the process. Each stage, as you will see, comprises a few simple steps to follow:

  1. Create a Free Account at ProWebScraper
  2. Configure a Scraper
  3. Downloading Your Data

Step 1: Create a free account at ProWebScraper

Go to Prowebscraper.com and create a free account. Once you enter your email id, your free account will be created.

Once you’ve logged into ProWebScraper, you’ll be directed to your ProWebScraper dashboard. Here’s what it will look like:

Step 2: Configure Scraper

Now we will start configuring our scraper by simply entering a URL of the Amazon product page. Once the website is loaded at ProWebScraper, we will select the data we need by using ProWebScraper’s easy point-and-click selector feature.

It will become clearer once you look at the entire process, step-by-step:

(2.1) At Scraper Dashboard, copy and paste the URL of the Amazon product page, such as https://www.amazon.com/dp/B07V7XYR3D, and finally click “Go” to load the page.

(2.2) Once the page is loaded, you can start configuring scraper.

All you need to do is click on the page to select that data point from the options, as you can see in the screenshot.

To extract the title of the product, you will simply need to click on the title.

You may want to name it as well. To name this data point, click on the name either in the hovering data column or in the list of data columns at the top of the page.

(2.3) To extract more data points (such as Rating Counter, Price, Product description, Availability), you simply need to click on “Add column”, and then click on the page to select that particular data point.

(2.4) Scraping rating-stars is slightly different. It cannot be scrapped by merely clicking on it. You will need to use a CSS selector to scrape rating stars.

To scrape it, follow the steps mentioned below:

Go to column setting, click on “Use CSS selector”, then add “#productDetails_detailBullets_sections1 > tbody > tr > td #averageCustomerReviews > span >span” in the “enter selector” field and add “title” in the “enter attribute” field, then click “Apply”.

(2.5) To select the ASIN number, we will again make use of the CSS selector functionality.

Go to column setting, click on “Use CSS selector”, then add “div#cerberus-data-metrics” in the “enter selector” field and add “data-asin” in an “enter attribute” field, then click “Apply”.

(2.6) Once all the data points have been selected, click the “Save” button to save your scraper.

It will ask you to enter some names in the field ‘Scraper Name ’. You can enter some name of your choice. For now, you can disable the option ”Is this listing page?” and then click “Save and run”.

(2.7) Once the scraper is saved, you will be directed back to the scraper Dashboard. From the Dashboard, you can download the results of the run once it is over.

Step 3: Downloading Your Data in CSV and JSON

After the scraper successfully completes the run, the data you need will be available for download from Scraper Dashboard.

All you need to do is go to the ‘Run History’ tab and easily access the data. In this tab, you can see the previous runs including the latest one with the results at the top.

As you can see in the screenshot, the data will be available for download in JSON or CSV format (1). If you wish, you can see the “Data Preview” of scraped data (2).

Sample output:

While the tutorial is over, here’s a bonus point for you.

Extract thousands of amazon products

  • The Amazon Scraper has been created but if you want to take it a little further and scrape product data of multiple products, you simply need to input multiple URLs in our detail scraper.
  • It would be amply clear if you see its application so let’s take a look at how to import URLs in.
  • To import a bulk list of URLs from a file, go to Scraper → Manage Inputs and then click on the button ‘Import URLs’.
  • Next, it will show the ‘Import URLs’ pop-up which allows you to add URLs from a CSV file. This list of URLs can be added to your current list of URLs. Please see the screenshot given below that explains the process.

It’s so easy and simple, isn’t it?

With this, you can scale it up and scrape Amazon data not just in bits and pieces but in huge quantities and bulk.

What’re you waiting for then?

Try out the Amazon scraper devised by ProWebScraper and take your business to the next level.

Benefits of Using ProWebScraper

While there must be some great tools available in the market, there are several unique benefits of using ProWebScraper. It’s not possible to list all but please find below a few distinctive ones:

  • Scrape dynamic pages: No matter how complex a website structure is or dynamic a website is, ProWebScraper can easily and cleanly scrape the data you want in no time.
  • Never get blocked: One of the major concerns you may have is that you may get blocked while scraping web data. ProWebScraper nearly eliminates this obstacle. ProWebScraper can handle complex JavaScript/Ajax sites, CAPTCHA, IP blacklisting transparently. With us, you will never get blocked!
  • Point and click Selector: It’s incredibly quick and easy. No need to learn any programming. If you can browse, you can scrape web data using ProWebScraper. All you need to do is a point and click on the desired data and run ProWebScraper to extract the same in a matter of seconds.
  • Scalable: Let’s say you want data in bulk. No worries. ProWebScraper is enormously scalable. You can extract data in vast quantities and yet get the clean and actionable data in a format of your choice.
  • Free custom set-up: Unlike many tools that require you to set it up on your own, ProWebScraper provides Free Custom Set-up within 2 business hours. Our customer support team essentially does all the work- set it up, maintain, monitor, and deliver high-quality web data to you in an efficient manner.

Conclusion

If you are in the e-commerce business, the bottom line is that you need your competitors’ data. In the case of Amazon, everybody needs Amazon data. There are various case studies of how companies across the world are scraping Amazon data to power their businesses.

Considering the vital significance of Amazon data, a truly customized Amazon scraper can give you a competitive edge and help you leverage the product-related data for your respective enterprise. ProWebScraper’s Amazon scraper is exactly what you need.

I hope this blog will prove helpful and useful in successfully scraping Amazon data for taking your business to the next level!

Get hold of ProWebScraper’s Amazon scraper and leverage Amazon data like never before!

Do share your valuable comments, suggestions, or feedback here and help us grow!!!

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