E-Commerce data analytics using web scraping

Title

E-Commerce data analytics using web scraping

Creator

Mishra V.K.; Alapatt B.P.; Aggarwal A.; Khemani D.

Description

Some companies, like Twitter and others, provide an application programming interface (API) to fetch the information. If the API is not available, we will have to search other websites to get the data in a structured format. The primary way to get data from a web page is through web scraping. The basic idea of web scraping is to pull data from a website and convert it into a format that can be used for analysis. In this paper, we will discuss the simple explanation of how we can use Beautiful Soup to scratch data into Python and later save the extracted data in an Excel spreadsheet and do the spreadsheet analysis later. We will pull data from the Flipkart website to know the cell phone name, cell phone price, cell phone rating, and cell phone specification. 2023 Scrivener Publishing LLC.

Source

Mathematics and Computer Science, Vol-1, pp. 425-434.

Date

2023-01-01

Publisher

Wiley Blackwell

Subject

Cell phone; Data analysis; Implementing web scraping; Spreadsheet analysis; Web scraping

Coverage

Mishra V.K., Galgotias University, Gautam Buddha Nagar, Uttar Pradesh, India; Alapatt B.P., Christ (Deemed to be University), Delhi NCR Ghaziabad, India; Aggarwal A., Christ (Deemed to be University), Delhi NCR Ghaziabad, India; Khemani D., Christ (Deemed to be University), Delhi NCR Ghaziabad, India

Rights

Restricted Access

Relation

ISBN: 978-111987983-1; 978-111987967-1

Format

Online

Language

English

Type

Book chapter

Identifier

https://doi.org/10.1002/9781119879831.ch22

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85168665822&doi=10.1002%2f9781119879831.ch22&partnerID=40&md5=0fc97781cce87c0dc34773c0667151aa