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phat 23(1):

Research Article

Usage of Web Scraping in the Pharmaceutical Sector

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  • @ARTICLE{10.4108/eetpht.9.4312,
        author={Ruby Dahiya and Nidhi  and Kajal Kumari and Shruti Kumari and Nidhi Agarwal},
        title={Usage of Web Scraping in the Pharmaceutical Sector},
        journal={EAI Endorsed Transactions on Pervasive Health and Technology},
        volume={9},
        number={1},
        publisher={EAI},
        journal_a={PHAT},
        year={2023},
        month={11},
        keywords={Web scraping, beautiful soup, drug, medicine},
        doi={10.4108/eetpht.9.4312}
    }
    
  • Ruby Dahiya
    Nidhi
    Kajal Kumari
    Shruti Kumari
    Nidhi Agarwal
    Year: 2023
    Usage of Web Scraping in the Pharmaceutical Sector
    PHAT
    EAI
    DOI: 10.4108/eetpht.9.4312
Ruby Dahiya1, Nidhi 1, Kajal Kumari1, Shruti Kumari1, Nidhi Agarwal1,*
  • 1: Galgotias University
*Contact email: nidhi.agarwal@galgotiasuniversity.edu.in

Abstract

INTRODUCTION: Web scraping is a technique that provides organizations with the ability to analyse large amounts of information and gather new information. OBJECTIVES: Find a group that is a health check, a full body test, a blood test, and so on. In this way, the pharmaceutical industry should consider how to improve information, information storage, information retrieval, and capture. For example, the healthcare system may decide to standardize the assessment of speech and allow information to be shared across organizations to improve treatment outcomes in web scraping applications. METHODS: Web scraping is based on the pharmaceutical industry. From here, we get information about pharmacies, such as drug names in different categories or drug sales. However, we are dealing with diseases and common medicines. Using this information, we can find the most common viruses. There are many factors to consider when creating a junk website for the pharmaceutical industry, such as drug names, tablet categories, and syrups found in the pharmaceutical industry. RESULTS: As is clearly visible from the output, there are columns for drug names, manufacturers, drug types, and prices. This is the information we get from a website called Net meds, a pharmacy site. With the help of this information, we learn which drugs are most needed, and then we can find the most common diseases today. CONCLUSION: The results of this web scraping can be very useful and powerful. However, the industry's success in web scraping and data extraction techniques depends on the availability of clean chemical data.

Keywords
Web scraping, beautiful soup, drug, medicine
Received
2023-07-25
Accepted
2023-10-30
Published
2023-11-06
Publisher
EAI
http://dx.doi.org/10.4108/eetpht.9.4312

Copyright © 2023 R. Dahiya et al., licensed to EAI. This is an open access article distributed under the terms of the CC BY-NC-SA 4.0, which permits copying, redistributing, remixing, transformation, and building upon the material in any medium so long as the original work is properly cited.

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