Covid-19 Datafetcher Using ParseHub Tool with Voice Assistance

M Ganeshan; Mariam Fatima

Title:
Covid-19 Datafetcher Using ParseHub Tool with Voice Assistance

Authors:
Mariam Fatima | M Ganeshan

Cite This Article :

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, pp.590-592, URL: https://www.ijtsrd.com/papers/ijtsrd38036.pdf

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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.

Keywords :
Parsehub, web scraping, Covid-19, real-time data

Publication Details:

Unique Identification Number : IJTSRD38036

Published In : Volume-5 | Issue-1, December 2020

Page Number(s) : 590-592

Publisher Name : IJTSRD | www.ijtsrd.com | E-ISSN 2456-6470

Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)

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