GSSOC '24 : Scrapping extensive Pubmed data Using BioPython in few seconds.

[VarsaGupta]

Problem:
PubMed offers crucial insights in life sciences, but extracting data conventionally can be slow, particularly with extensive research papers using the library like Beautiful Soup and Selenium.
Solution:
BioPython emerges as a game-changer in this scenario, offering a faster and more efficient solution. With specialized functionalities tailored for biological data analysis, BioPython streamlines the process of scraping PubMed data, enabling researchers to access valuable insights in few seconds.

My approach:
I will provide the python script for both Beautiful Soup and BioPython for scrapping extensive research papers of Pubmed, showcasing the efficiency of BioPython.

@sanjay-kv, Please assign me the issue.

[github-actions]

Thank you for raising a issue, Hope you enjoing the open source. we try to reply or assign as soon possibe. Connect with mentor.

[sreesti07]

Please assign this issue to me, I would like to help you.

[github-actions]

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