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Covid Live Multi-Threaded Live COVID 19 Data Scraper
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Author(s): Parth Birthare (Vellore Institute of Technology, India), Maheswari Raja (Vellore Institute of Technology, India), Ganesan Ramachandran (Vellore Institute of Technology, India), Carol Anne Hargreaves (National University of Singapore, Singapore)and Shreya Birthare (Vellore Institute of Technology, India, India)
Copyright: 2023
Pages: 29
Source title:
Structural and Functional Aspects of Biocomputing Systems for Data Processing
Source Author(s)/Editor(s): U. Vignesh (Vellore Institute of Technology, Chennai, India), R. Parvathi (Vellore Institute of Technology, India)and Ricardo Goncalves (Department of Electrical and Computer Engineering (DEEC), NOVA School of Science and Technology, NOVA University Lisbon, Portugal)
DOI: 10.4018/978-1-6684-6523-3.ch002
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Abstract
COVID-19 began in 2019, and by the advent of 2020, it had become widespread and adversely affected the world. In this workâCovid Live, COVID-19 data is scraped from an online website, which gives an overview of the status of the pandemic in the desired format. The authors built an application interface using a Python micro web Flask framework. The data scraping uses a multi-threading concept to reduce the program's runtime error, resulting in receiving the data quickly, and faster than existing web crawlers and scrapers. This paper focuses on dealing with storing scraped data in the desired format. It also provides options to hear the audio of the scraped data and to download the scraped data. The authors present visualizations of current trends with scraping period details and demonstrate an efficient application that does the data scraping quickly and efficiently.
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