How to Scrape Amazon for Book Information Using Python and BeautifulSoap?

 

Extracting Amazon’s Best Selling Books

The URL, which you will scrape is here: https://www.amazon.in/gp/bestsellers/books/ref=zg_bs_pg_'+str(pageNo)+'?ie=UTF8&pg='+str(pageNo) (In case, you are unable to use this link, use parent link). The page row can be adapted to use data for every page. Therefore, to use all these pages, you require to go through all these pages to have the needed dataset, however, first, you require to discover total pages from a website.

For connecting to URL as well as fetching HTML content, these things are necessary:

Describe a get_data function that will input page numbers like an argument,

Outline a user-agent that will assist in bypassing detection as the scraper,

Identify the URL to requests.get as well as pass a user-agent header like an argument,

Scrape content using requests.get,

Extract the detailed page and allocate it to soup variables,

The next step, which is very important is to recognize the parent tag below which all the required data will reside. The data, which we will scrape include:

  • Book’s Name
  • Author’s Name
  • Ratings
  • Customer Ratings
  • Pricing

The given image indicates where the parent tags are located s well as when you float over that, all the necessary elements get highlighted.

code

Similar to parents’ tags, you require to get the attributes for author, book name, ratings, customers rated, as well as price. You will need to visit the webpage that you like to extract, choose the attributes as well as right-click on that, and choose inspect element. It will assist you in getting the particular data fields you need to scrape from HTML web pages, as given in the below figure:

code

Some authors’ names are not listed with Amazon, therefore you require to apply additional finds for the authors. In the given cell code, you might get nested the if-else conditions for the authors’ names that are to scrape the publication or author names.

In this tutorial, we have provided the basic details of doing web scraping using BeautifulSoup as well as how can you make sense out from the data scraped from the web through visualizing that using bokeh plotting library. Another good exercise of taking the step forward while learning data scraping with BeautifulSoup is scraping data from other websites as well as see how you can get insights from that.

If you want to scrape data from Amazon book details then contact Retailgators or ask for a free quote!

source code: 

https://medium.com/@Retailgators_32/how-to-scrape-amazon-for-book-information-using-python-and-beautifulsoap-9bbfcf3e4864

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