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Scraping Amazon product listing: All You Need to Know


Scraping Amazon product listing: All You Need to Know

Amazon's e-commerce platform provides a wide range of services. However, what they do not provide is easy access to their product data. Everyone involved in the e-commerce industry needs to scrape amazon product listings in some form. Whether it's for competitor research, comparison shopping, or creating an API for your app project, we've got you covered. This problem can readily be solved with Ecommerce data scraping.


You could believe that only small businesses are required to scrape amazon data, but that's not the case. You'll be surprised to learn that even a legendary company Walmart has apparently been involved to scrape amazon product listings to keep track of prices and adjusted its policies and initiatives accordingly.


Why do retailers scrape amazon product data?

You can imagine how much important data and information Amazon possesses: products, ratings, reviews, special offers, news, and so on. Both sellers and vendors benefit from Ecommerce data scraping. You'll need a firm grasp on how much data the internet holds and how many websites you'll need to scrape to get all the information you require. The challenge of time-consuming e-commerce data scraping can be solved using Amazon data scraping.


1. Improve Product design

Every product undergoes several stages of development. It's time to put the product on the market after the earliest stages of product design. However, client feedback or other concerns will eventually develop, necessitating a redesign or improvement. Scrape amazon data and design data (size, material, colors, and so on) to make it easy to uncover methods to improve your product design.


2. Take customer input into account.

It's time to include customer input after you've scraped for basic design features and determined what needs to be improved. While user reviews are not the same as product data, they frequently comment on the design or the purchasing process. When modifying or upgrading designs, it's critical to consider customer feedback. Scrape amazon data like reviews to frequently point out typical sources of customer confusion. Scraping reviews through Ecommerce data scraping makes it easy to compare and contrast them, allowing you to detect trends or joint issues.


3. Find the best deal.

While materials and style are crucial, many customers prioritize cost. Price is the first feature to differentiate all of the identical possibilities, especially when scrolling through Amazon product search results. Scraping price data for your own and competing products gives you a variety of price possibilities. Once you've defined this range, it'll be easier to figure out where your company fits within it once you've included it in manufacturing and shipping costs.


4. Scrape Amazon Product Listings that the Product Advertising API doesn't allow you to acquire.

However, Amazon offers a Product Advertising API similar to most other "APIs," it does not supply all of the information shown on a product page on Amazon. Scrape amazon data that can assist you in extracting all of the information from the product page.


Amazon product data that can be scraped

Scraping Amazon product lists can be beneficial for your business in many ways. Collecting Amazon data manually is a lot more challenging than it looks like. For example, going through each product link in the list of products when searching for a particular product class can be hectic, time-consuming, and frustrating. In addition, when you search for a specified product, hundreds of products spam your amazon screen, and you cannot actually go through each product link to gather information. Instead, Amazon product scraping tools help you to scrap product listing and additional product details quickly. This includes:

  1. Product Name: Product names are necessary to scrape. You can extract a lot of ideas through Ecommerce data scraping about how to name your products and create a unique identity.

  2. Price: Pricing is the most crucial stage for each product and if you know how the market works and what price is being preferred, you can aptly decide how you should price your products. Scrape amazon product listings to know the product pricing.

  3. Amazon bestsellers: Scraping amazon bestsellers can give you a precise idea who are your main competitors and what type of products actually work.

  4. Image URLs: Image URLs can help your business to opt for the best suitable images and you can use them as inspiration to use your product designs and images.

  5. Ratings and reviews: In the form of sales and products reviews and ratings, Amazon also stores a plethora of customer input. Scrape amazon data and reviews to help you know your customers and what they prefer.

  6. Product Features: Product features can help you know the technicalities of the product and inspiring from that you can easily define what is your USP and how it will benefit the user.

  7. Product Type: There are hundreds of products and you cannot manually scrape each product, instead of using automated services will help you easily get to know the product types.

  8. Product Description: Product is everything for a seller. And to attract customers, you need an elaborative and impressive product description.

  9. Company Description: Scrape amazon product listings to know who your competitors are, how they proceed, and what they are making.

  10. Rank of Product: Ranks matter the most. You obviously want to know what type of products are ranked at which positions. Scrape amazon product data and get to know your direct competitors easily.

High-level challenges when scraping Amazon product data at scale

Processing massive datasets on large sizes is one of the most challenging aspects of scraping the web and, precisely, e-commerce platforms. The following are some of the challenges that your scraper tool can face:

  • Amazon can detect Bots and block their IPs

When you send a lot of requests to scrape amazon product listings, you'll usually run into a variety of challenges. Amazon does not appreciate their website being crawled incessantly. So either you solve the captcha, or your IP will be blocked. As a solution to this, you can scrape amazon data by either rotating your IPs and increase the time gaps.

  • Varying Page structures:

Technical changes are made to websites regularly. However, web scrapers are developed with the customizations of the web page in mind at the time of setup; as a result, regular revisions confound the coders, leading scrapers to struggle. However, you can design the code such that the scraper looks for a particular type of product detail at a time.

  • Inefficient scraper:

Each scraper is defined with a particular algorithm and speed. And if you scrape amazon product listings with different page structures, you may face challenges because you deal with a unified algorithm and speed. As a solution to this, you can calculate the number of requests to be sent and design your scraper accordingly.

  • Need of a cloud platform and other computational aids:

A cloud-based platform is a must when you need high-capacity memory resources to scrape e-commerce websites like Amazon. And to speed up the process, network pipes and cores with high efficiency will be needed! As a solution to this, you can transfer your data to permanent storage.

  • Use a database for recording information.

Recording information after scraping product data from Amazon, you will end up with massive data sets. Since the process is time-consuming, losing that data will lead to a forever regret. So, we advise you to keep storing the scraped data in a database.


For a detailed description and solutions to these challenges, don't forget to check out our blog on the Challenges That Make Amazon Data Scraping Painful.


How to overcome Amazon anti-scraping mechanisms

If you start scraping hundreds of pages, Amazon is exceptionally likely to label you as a "BOT." The goal is to avoid being labeled as a BOT while scraping and encountering issues. Here are few options to overcome these issues:

  • Use proxies and rotate them:

Scraping hundreds of products from Amazon in a single minute will indicate to the site that we are a bot. To avoid this and specifically to pretend like a human being, you can keep changing your IP addresses or proxies. This will help you present yourself differently every time you scrap a product.

  • Try to reduce the number of ASINs scraped per minute:

Sending many requests too fast will create system failures, resulting in a bad user experience. When data scraping, leave enough gaps between requests and keep the number of active requests under control.

  • Specify the user agents:

It's usually a good idea to also have a variety of User Agent Strings, just like the proxies. Use user-agent strings from the most recent and popular browsers, then rotate the strings for each Amazon request to prevent getting blocked from the e-commerce sites.


Also Read: How to Bypass Anti-Scraping Tools on Websites


How to scrape amazon product data

You can scrape amazon product data in the following ways:


1. Do-it-yourself scraping using Python libraries

Scrapy is a Python framework used for web scraping on a considerable scale. It provides you with all of the tools you need to extract data from websites easily, analyze it as needed, and save it in the structure and format of your choice. Because the internet is so diverse, there is no "one-size-fits-all" strategy for data extraction from websites. That framework is Scrapy.


Step-1: Install Scrapy using python package namely Python, Pip, and lxml.


Step-2: Create a directory at scrapy where you'd like to store your code.


Step-3: After creating a directory, you have to update items.py with the fields we want to scrape.


Step-4: A new Spider will be needed to define the necessary elements, namely allowed_domains, start_urls, etc.


Step-5: Now, you will have to update pipelines.py for further data processing.

This will help you scrape what you need.


To learn more, check out our blog on How To Scrape Amazon Data Using Python Scrapy


2. Opting for web scraping services

Python Scrapy can be a tough-to-use tool if you have zero technical experience. To extract data for Amazon, you'll need knowledgeable and professional people that can organize all of the data in a logical manner. The following ways a web scraping service like Datahut can automate the above process easily:

  • Through the whole process to scrape Amazon Product Data, web scrapers can assist retailers and large businesses in conducting market research, generating directories, and maintaining inventories of the most recent products.

  • Datahut gets Amazon product data from true, up-to-date, and accurate directories and databases.

  • We will also provide add-on functionality for extracting Amazon prices as the product is being listed. Furthermore, this aids in the growth of firms by providing competitive pricing and quotes for the best online bargain.

  • The automated Ecommerce data scraping quickly collects significant and essential information about an item's sales rank, price point, technicalities, ASIN, and other relevant information, and you can use the data source in your personal business operations to add value to your products and overall web presence.

Final thoughts

The bottom line is that you'll need to scrape amazon data if you're in an e-commerce company. Numerous case studies demonstrate how organizations all across the world scrape amazon product data to fuel their operations.


Given the importance of Amazon data, an adequately customized Amazon scraper is the one that can provide you with a competitive advantage by allowing you to exploit product-related data for your business. The Amazon scraper from Datahut is precisely what you need. Contact Datahut to learn more.

Related Reading

  1. Is Web Scraping Legal? A Guide to Understanding legality of Web Scraping

  2. How to Bypass Anti-Scraping Tools on Websites

  3. 5 Major Challenges That Make Amazon Data Scraping Painful

  4. Price Comparison On Amazon: How Web Scraping helps Companies win the e-Commerce Game

  5. How to Leverage Product Feeds to Boost your E-Commerce Business



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