Covid 19 Datafetcher Using ParseHub Tool with Voice Assistance

Abstract

Main purpose of Web Scraping is to abstract information from single or N websites and then process it into plain structures such as spreadsheets, CSV file or database. Although, in adding to be a very convoluted task, Web Scraping is source and tiresome, primarily when it is carried out manually. Now in this pandemic situation it is very important for all the people have a look at the live cases which are spreading rapidly. Parsehub will help us to fetch the data from the websites more accurately and easily. By using parsehub tool researchers can collect real time data of covid 19 cases which can be easily extracted from anywhere. Parsehub uses machine learning for its relationship engine which is state of the art. Mariam Fatima | M Ganeshan "Covid-19 Datafetcher Using ParseHub Tool with Voice Assistance" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-1 , December 2020, URL: https://www.ijtsrd.com/papers/ijtsrd38036.pdf Paper URL : https://www.ijtsrd.com/computer-science/other/38036/covid19-datafetcher-using-parsehub-tool-with-voice-assistance/mariam-fatima

Authors and Affiliations

Mariam Fatima | M Ganeshan

Keywords

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  • EP ID EP692249
  • DOI -
  • Views 120
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How To Cite

Mariam Fatima (2020). Covid 19 Datafetcher Using ParseHub Tool with Voice Assistance. International Journal of Trend in Scientific Research and Development, 5(1), -. https://europub.co.uk/articles/-A-692249