Amazon provides different services on the e-commerce podium.
One thing, which they do not provide is easy use of product data.
Currently, there’s no way of just exporting data from Amazon to any spreadsheets for your business requirements. Either to do comparison shopping, competitor research, or building an API for app projects.
Web scraping can easily solve this problem.
Free Amazon Data Scraping
Web scraping services helps you choose a particular data you need from Amazon into a JSON file or spreadsheet. You can even make that automated procedure, which runs on a monthly, weekly, or daily basis to constantly update data. Here, we will utilize X-Byte Enterprise Crawling’s powerful data scraping tool, which can deal with all websites.
Scrape Amazon’s Product Data
Here, we will extract product data from Amazon for “computer monitoring”. We will scrape data available on result pages as well as data accessible on every product page.
Let’s Get Started
- Initially, ensure to download as well as install X-Byte’s scraper. We will utilize this web data scraper here.
- Open this scraper and click on the “New Project” as well as use URL from the result page of Amazon. This page will get rendered within the app. Scrape Amazon’s Result Pages
- While the site gets rendered, click on the product name on the first results on a page. Here, we won’t consider sponsored listings. A name you’ve clicked would become green and show that you have selected it.
- All the rest product names would be highlighted with yellow color. Just click on 2nd name in the list and all the items would get highlighted with green color.
- At the left-hand sidebar, rename the product selection. You would notice that X-Byte Enterprise Crawling is scraping product names as well as URLs for every product.
- At the left-hand sidebar, just click on the PLUS (+) symbol next to product selection as well as select the command called Relative Select.
- Using this command, just click on the first product’s name on a page as well as then on the listing price. You would see the arrow connecting these two selections.
- Spread out the newly created command and delete a URL, which is also getting scrapped by default.
- Repeat steps 4 to 6 and also scrape the product’s star ratings, total reviews as well as product images. Ensure to rename the new selections consequently. Now, we have chosen all the information desired to extract from the results page. Now, the project would appear like this: Scrape Amazon’s Product Pages Now, we would tell X-Byte Enterprise Crawling scraper to click all the products that we’ve chosen and scrape extra data from every page. Here, we will scrape product ASIN, Screen Resolution, and Screen Size.
- Initially, on the left sidebar, just click on the 3 dots given next to the text main_template.
- Rename the template with search_results_page text. Templates assist X-Byte Enterprise Crawling scraper to keep various page layouts separately.
- Then, utilize the PLUS (+) symbol next to product selection as well as select the “Click” option. One pop-up will come asking you in case, the given link is the “next page” option. Then click “No” as well as after Create New Template, just input the new template’s name. Here, we will utilize product_page.
- X-Byte Enterprise Crawling web data scraper will automatically create the new template as well as render an Amazon product’s page for the first product given in the list.
- Then scroll down the “Product Information” section of a page as well as use the Select command and click on the first elements in the list. Here, it would be an item of Screen Size.
- Just like we have applied before, continue to select the items till they all become green. Rename the label selection.
- Enlarge the label selection as well as remove the Start New Entry option in the label command.
- Then, click on the PLUS (+) symbol next to label selection as well as utilize the Conditional command. It will permit us to get information from all these items.
- For the initial Conditional command here, we will utilize the given expression: $e.text.contains(“Screen Size”)
- Then, we will utilize the PLUS (+) symbol next to conditional commands to add the command Relative Select. Now, we will use the command Relative Select to click on a Screen Size’s text as well as then on real measurements next to that (here, 21.5 inches).
- Now, X-Byte Enterprise Crawling will scrape the product’s screen sizes into its column. Here, we can copy-paste a conditional command that we have created for pulling other data. Just ensure to edit conditional expressions. For instance, an ASIN expression would be: $e.text.contains(“ASIN")
- Finally, ensure that the conditional selection is properly aligned, and therefore, they won’t be nested among themselves. You may drag & drop the selection for fixing this. The conclusive template will look like given here: Add Pagination You may wish to extract many pages worth of data for the project. Until now, we are merely extracting page 1 for search results. Now, let’s set up the X-Byte Enterprise Crawling web data scraper to navigate the following 10 results pages.
- At the left-hand sidebar, just return to search_results_page template. Also, you might require to change a browser tab in search results pages.
- Then click on the PLUS (+) symbol given next to page selection as well as opt Select command.
- After that, choose the link of the Next page at bottom of the Amazon page and rename the choice to next_button.
- By default, X-Byte Enterprise Crawling data scraper will scrape the text as well as URL from the link, so increase the new next_button collection as well as remove the 2 commands.
- Then, click on the PLUS (+) symbol of the next_button collection and utilize the Click command.
- One pop-up will come asking if it is the “Next” link. Then click the ‘Yes’ option and enter the total pages you’d need to navigate. Here, we will extract 9 extra pages. Run and Export the Project As we have completed to set-up project, the time is to run the scraping job. At the left-hand sidebar, just click on the "Get Data" option and click the "Run" button for running scraping. For long projects, we suggest doing the Test Run for verifying that the data would be formatted properly. After the scraping job is done, you can now download the data you’ve asked for as the handy JSON file or a spreadsheet.
Now, you are completely ready to extract Amazon data as per your requirements. For more information, you can contact X-Byte Enterprise Crawling or ask for a free quote!
For more visit: https://www.xbyte.io/how-to-scrape-amazon-through-submitting-the-listing-of-isbn-numbers.php