Amazon is one of the largest e-commerce stores in the United States. It has the broadest range of products available anywhere in the world. And the product information can be used in various ways, including the creation of valuable catalogs.
However, despite Amazon’s wide range of fantastic services, you will never have easy access to their product data. So, if you intend to use rudimentary methods to export product data from Amazon to a spreadsheet for business purposes, you should reconsider because it is impossible.
Fortunately, web scraping can help you export product data for competitor research, build an API for your project, or do comparison shopping.
You should be aware of the following statistics:
o With an estimated 7.7 billion people on the planet, approximately 25% shop online.
o Millennials account for approximately 54% of all online purchases.
So, as you can see from these few statistics, there are a lot of online store owners. To stay ahead of their competitors, most of these businesses will need to build a lot of automation around e-commerce websites like Amazon.
In other words, store owners will require:
o A method for creating a product catalog
o Information on the needs, preferences, and satisfaction of customers
o A method to keep track of their competitors
o Market research and intelligence data on a variety of factors
As a result, knowing how to scrape e-commerce websites and create a good product catalog will be a valuable skill to learn.
Advantages of Creating an Amazon Product Catalog
Web scrapers, particularly pre-built options like Amazon scraper on “Web Automation,” simplify creating a product catalog from Amazon. This tool allows you to extract data from Amazon such as product name, price, image, and Description without writing a single line of code.
You can obtain the following product information using web scrapers:
o ASIN
o Description
o Category
o Model
o of Feedback
o Number of stars
o Manufacture
Web scrapers can also provide you with product information such as title, prime, UPC, quantity, image URL, and weight.
The benefit of using web scrapers like “Web Automation” is that once you’ve built your Amazon product catalog, you can easily monitor the products for changes in price, rating, stock count/availability, and so on.
Furthermore, you can easily scrape product details that the product advertising API does not provide. You can also drop ship website data.
With a few mouse clicks, you can copy and paste product information from Amazon to create a catalog. Relevant data can be obtained in spreadsheet or JSON format. You can even automate the process so that the product catalog is updated monthly or weekly.
Here are some key advantages of using web scrapers to build Amazon product catalogs:
o Product details and Amazon advertising can be used to improve your Amazon marketing campaigns or Amazon SEO status.
o Product optimization for manufacturers and retailers is simple to review.
o You can use the scraped data to conduct a competition mapping or SWOT analysis of your company compared to your competitor’s company.
o You can quickly find trending products and view the top sellers.
With so many companies offering various products, prices, analyses, and other types of Information specifically for Amazon, scraping Amazon to build a product catalog is an intriguing method used today by those who want to save money and time.
It might be challenging to scrape Amazon data on a large scale. Their anti-scraping technology may prevent you from accessing the site. You already know Amazon is a massive website, so it’s not surprising that scraping it is a near-impossible task. The use of ready-made scrapers such as “Web Automation” remains the solution.
As a beginner, you can try Web Automation scrapers for free!
Choose your web scraping strategy.
Several approaches can be used to scrape data from Amazon. You can scrape each shelf list or keyword category, then request the product page for each one before moving on. This method is ideal for small-scale scraping.
However, suppose you want to perform large-scale scraping. In that case, a suitable method is to create a database of products you want to track by having a list of the products or ASINs (unique product identifiers) and then have your pre-built web scraper scrape each of the pages every month, week, or day.
For example, web Automation’s Amazon Scraper can assist you in performing large-scale scraping for a product, department, category, and search pages. You can quickly build a product catalog from Amazon using this pre-defined product data extractor.
If you don’t want to build it yourself, you can have their concierge build you an Amazon extractor that you can run on Web Automation. Then you can easily export your created product catalog to Shopify, Google Sheets +, Dropbox, and other platforms.
That being said, here are some of the advantages of Web Automation:
o IP rotation: Scrapers such as web automation keep your IP address from being blocked by Amazon. This ready-made extractor employs automatic IP rotation.
o Scrape Dynamic Sites: On Amazon, you can extract data with multiple levels of navigation and data behind a login.
o Re-Captcha solver: Web Automation allows you to bypass CAPTCHAs, allowing you to scrape bot-protected websites like Amazon easily.
o API: Using Amazon’s API and Webhook, you can integrate your extracted product data from Amazon.
Effective Amazon product catalog building strategies
When scraping product data from e-commerce websites like Amazon, you must be strategic. Among the essential steps you should take are:
Understand what you want.
You must be very clear about what you want. If you want to extract product data to build a catalog, you must select all of the categories from which you want the product data. This could be as straightforward as product names, categories, and images. You may, however, choose to include the average customer rating and review.
You might also want to create an extractor that uploads products to multiple e-commerce sites. After extracting the data, you may still want to make some changes, such as adjusting product prices.
Investigate the website
You should look into Amazon to see if they require the information. However, suppose they do not have the email addresses of their customers and sellers, and you are interested in that information. In that case, you can also check to see if they have social media channels or websites where you can obtain this information.
You should also check if a standard scraper worked on the website. You can inspect the HTML source to ensure that all data is present. If they are present, you can be sure to use a standard scraper. However, if there are many buttons to click and other types of dynamic responsiveness, you may need to use a headless browser.
How to Obtain the Data
Some data may be displayed on the product’s page, while others may require you to navigate to other pages to access them. For example, you may find a product’s name and description on its page, but you may need to click on a button to see the seller’s information, customer reviews, and other information.
Captchas may appear, but using a ready-made scraper like Web Automation makes it simple to solve these captchas.
Make use of a scraper.
After deciding what data you want and how to get it, you can use a scraper to extract all of the product data without writing a single line of code without writing a single line of code. Pre-built scrapers, such as Web Automation’s Amazon Scraper, can be used. This scraper has a simple interface and flows that you can use to extract the product data you need to build a catalog.
Last Words
Web scrapers are excellent tools for creating Amazon product catalogs. All you need to know is what data you’re looking for and where to find it. Pre-built scrapers, such as Amazon scraper on Web Automation, are a fantastic tool for extracting data such as product name, image, price, Description, and more.
If you don’t want to build it yourself, you can tell a WebAutomation expert your requirements and have an excellent scraper created for you to build a great product catalog from Amazon.
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