Amazon Price Scraper (For eCommerce Data)

Hannah Benson
June 4, 2021

Table of Contents

Amazon is one of the world’s largest online retailers known for its fast shipping and competitive prices. Because of its variety and volume of products, Amazon is full of useful data that can be extracted and analyzed to generate valuable organizational insights. Web scraping, the automatic extraction of data, is one of the best ways to collect Amazon price data. Using Scraping Robot’s Amazon price scraper helps you find the perfect price point, benefits your product design, and helps you keep track of the competition. In addition to extracting prices from Amazon, social media analysis and consumer sentiment analysis contextualizes other data points to help you make smart, data-driven decisions moving forward.

What is Amazon Price Data?

What is Amazon Price Data?

Amazon price data is data relating to pricing information found on Amazon’s website (product pages, trending pages, etc). Price data includes more than just the price of a given product. It also includes

  • Comparative prices with similar products
  • Original price and reduced price (sale, discount, etc)
  • Price history of a specific good
  • Prices of bundles (multiple products commonly bought together)

By extracting and collecting price data from Amazon, you can get a sense of how your organization’s prices compare to competitors as well as similar goods. Breaking down the price of your product piece by piece is a good way to understand which materials or design choices are costing you more than they are worth.

How to Scrape Amazon Prices

Web scraping is the automatic extraction of data from a web page. While data can be extracted manually, using a web scraping tool saves time and money and is more secure. Web scraping is perfect for any size organization because it can help small businesses incorporate data analysis and help larger organizations with established data departments to give their workers more time to analyze the data and provide valuable insights.

Amazon price scraper

Scraping Robot’s Amazon scraper allows you to insert an Amazon ASIN (Amazon Standard Identification Number) or URL and receive the price of the product on Amazon. Our scraping tool makes it easy to compare prices across the Amazon marketplace, which is likely home to many of your competitors’ products as well.

Benefits of an Amazon Price Scrape

Benefits of an Amazon Price Scrape

You’ll experience many organizational benefits when you start to regularly scrape Amazon price listings such as finding the perfect price for your product, perfecting your product design, and keeping track of the competition.

Find the perfect price point

Many consumers first turn to Amazon when shopping online because of their low prices. Scraping the price of your product and similar products within the Amazon marketplace is the perfect way to establish a reasonable price range for your product. Then you can take into consideration materials and aspects of cost to make sure your price turns a profit without being too high it dissuades consumers. In addition to scraping current prices, you can also scrape the price history of an Amazon product and see how the prices are trending. If the prices are trending upwards, it will be easier to justify a higher price.

Perfect your product

While figuring out the perfect price range is important, prices are directly related to the production process and design of your product. If you need to lower prices, it is likely you’ll have to either forego certain design elements or use more affordable materials and packaging. Scraping Amazon product pages includes price information as well as the product description (materials, dimensions, weight, etc). When scraping the prices of competitors on Amazon, it is important to also scrape the product description in order to contextualize the other prices. For example, maybe your competitor is able to offer a slightly lower price because they use less expensive materials. Scraping the product description helps you discover this information and more. There is nothing wrong with having a higher price due to using more expensive materials and can even be incorporated into marketing how your product is of better material quality than the competition and therefore more expensive.

Keep track of the competition

Keeping track of the competition is essential. While you’ll do an initial scrape to understand the market, it is important to continually update your data on competitors as their prices or products change. Consistently updating price data helps you understand shifts in your own sales and the industry at large. If all your competitors are experiencing decreased sales, then it is less likely to be an organization problem and more likely an industry wide one. However, if your data is trending in a worse direction than the competition, it is time to take stock of your organization and make data-driven changes.

In addition to Scraping Robot’s Amazon price scraper, our Amazon search scraper is another way to see how you compare to the competition. When you input a given keyword, our search scraper will provide you with the top search results as data. The search scraper indicates how easy it is for others to find your products. If it is one of the top search results, then people are likely to interact with it. Analyzing which products show up first in the results creates an understanding for how to attract consumers and be highlighted by the algorithm.

After You Scrape Amazon Price Listings

After You Scrape Amazon Price Listings

While extracting Amazon price data is important, contextualizing that data is equally important. Extracting consumer sentiment data from online product reviews and social media is a great way to shed light on price and product data in order to get a well rounded perspective on your product’s reputation amongst consumers.

Product reviews

Product pages on Amazon feature reviews from customers that often include photos of the product, answer common questions, and thoughts about the product. Scraping these reviews in an easy way to conduct consumer research without going the traditional route of focus groups. While you can manually read reviews and get a general sense of how consumers feel, extracting them as data makes it easier to compare language side-by-side and search within reviews for common words or phrases. Consumers often write about the product but also include comments related to the shipping process and other aspects of the entire process.

Social media

For brands with a younger target audience or a large social media presence, scraping social media mentions and trending topics is another space to gather valuable insights. When you scrape the profiles of your followers, you can see which other profiles, brands, influencers, etc your followers are interested in. This helps with brainstorming collaborations or just to better understand your consumer base and their other tastes. Scraping mentions is similar to scraping reviews but social media comments often contain opinions related to the brand and brand values as a whole instead of just an individual product. For example, social media users may comment on the sustainability of a brand. Scraping trending topics such as social issues or trending cultural phenomenons is a great way to brainstorm marketing ideas and understand what values or aesthetic to appeal to, especially with a younger demographic. Therefore, social media is great for both consumer sentiment data and marketing data.



With such a vast and diverse marketplace, Amazon has price data for likely any product that comes to mind. Web scraping is the automatic extraction of data from a webpage. A web scraping tool is the easiest way to access Amazon price data. Using an Amazon price scraper makes it easy to find the perfect price point, perfect product design, and become aware of industry trends and the competition. Scraping social media sites or Amazon reviews is the perfect way to supplement your Amazon data with consumer sentiment data. Scraping Robot’s different scraping modules help you extract diverse kinds of data to fulfill all your organization analysis needs.

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