Amazon is one of the largest e-commerce platforms across the globe. It has . It definitely gets the advantage of a large amount of data and better operational processes in place due to its standing as one of the largest retailers. Having said that, even you can use Amazon’s data as an advantage to yourself to design a better product and price portfolio. one of the largest customer bases and one of the most versatile and adaptive product portfolios A simple tool for the same is Let us see why scraping Amazon data could be useful! Web Scraping! Amazon has an exceptional pricing strategy that makes it an undisputed choice for its customers. You . Although Amazon has a Product Advertising API, it does not give you all the information you need. Thus, . Let us look at how you can use this data to price your products rights. can extract information from Amazon either by using its APIs or scraping from it scraping data from Amazon might be useful Learn more about your products If you are a manufacturer or a product supplier, Amazon can give you data about your products that you might not have as a standalone entity. Amazon places your products among a plethora of other similar and competing products. This can . For instance, if you play in the electronics industry, you can learn about the sales, pricing, design and other characteristics of your product with respect to the other products in the same industry. You could get all this data in one place if you start scraping information from Amazon! give you information about your products relative to the market and other competitors’ products Amazon’s product comparison table shows a very customized comparison for the type of product you are looking for. Customers use this information to learn about the competitors, and then make a decision of what product to buy. As a manufacturer or a supplier, you can use this information to design your products better or even to price your products differently. You can . their attributes including product prices also learn who your direct competitors are, for a given product Learn what your customer feels about your product Customers can give you a large amount of detailed information on your products. You can learn about their sentiments about your product and thus know more a fair deal about your products’ performance in the market. Amazon has incorporated a customers’ on the products page. This section lets customers ask basic questions about the products and people who have bought/used the product can answer the same. This section enables users to . Additionally, there is a review section which is another rich source of information. Scraping information from Amazon could give you access to this as well! Questions and Answers section make an informed purchase decision If you scrape information from Amazon on a product, it makes complete sense to also pull the as a few comments can give a . review section detailed review of your product, the pros and cons, the general sentiment of the customers and also some basic information of the customer who is reviewing your product If you can use a few text analytics techniques like Natural Language Processing or even keyword analysis on this text data, you can use the insights to make amends to the pricing strategy of your products among other things. Why should you scrape information for pricing from Amazon? Besides the fact that Amazon is one of the biggest sources of product pricing and competitor performance in your market, there are several other reasons to scrape data from Amazon for pricing. These advantages are more about the logistic convenience of scraping and the infrastructural advantage of the same. It . You can now schedule the scraper script to run at your , mention the scope of scraping and it will collect the desired information for you. This also means ! automates the process and removes the manual dependency required frequency more reliable data You can set a that will serve as your . You do not need to store data in localized hardware. Instead, you can incorporate for all the large data requirement. well-structured pipeline for storing and using data data source for all pricing analytics and beyond cloud storage You can ! Since most of the process will now be automated, it should . This means you can design your pricing strategy on the basis of regularly updated information and . get up-to-date information in almost no time not take a lot of time to pull the required data not outdated pricing analytics All these advantages can also be clubbed with the point that pricing a product is not just comparative analysis but also includes other possible routes. For instance, one needs to look at the shelf-life of a product, age of a product in the market, general characteristics and even historical performance of a product given its price points. The determines the relationship of its demand at different price points in the past. If your organization has a data-based outlook and has the necessary infrastructure in place, you can mentioned above to build a sound pricing framework. price elasticity of a product club the insights from the scraped data with all the other analyses Scraping Information from Amazon While you could , it could be a tough act given all the complications. . use your script to scrape data from Amazon The website discourages scraping in its policy and page-structure In addition to that, the ever-evolving and complicated web page structure make scraping information from Amazon difficult . However, there are dedicated service providers that can scrape the necessary information from the required web site.

Amazon

Read My Stories

Too Long; Didn't Read

In your car, at home, or at work — Bosch technology shapes many areas of life.

How By Scraping Amazon Data You Can Improve Prices of Your Products

Too Long; Didn't Read

Company Mentioned

Sandra Moraes

About Author

TOPICS

THIS ARTICLE WAS FEATURED IN...

How By Scraping Amazon Data You Can Improve Prices of Your Products

Too Long; Didn't Read

Company Mentioned

Sandra Moraes

About Author

TOPICS

THIS ARTICLE WAS FEATURED IN...

RELATED STORIES