Abstract
Objective: To develop a generic web scraping tool that can extract cricket player’s data for research purposes. Methods: Cricket as a sport has greatly plagued the world with its importance and entertaining nature. For a team the performance of each individual player has great importance for their victory. In this paper, an automated data scraping mechanism is devised to extract and store data of cricket players from a cricket website. This website contain web-enabled database of cricket players where the data is contained on multiple web pages and proposed mechanism is designed to extract this variation as per requirement of researcher. Findings: This tool will be helpful for data scientists/researchers to extract dataset as per their requirements. Applications: This generic tool will be applicable in analyzing the formation of cricket team as per rating of individual player. Moreover, this tool will contribute as an essential ingredient for research related in the domain of cricket analytics. Keywords: Cricket Analytics, Information Extraction, Scrapper, Web Content Extraction
Highlights
The sports industry is well known for a large number of people including sports enthusiasts, professional in sports industry and has great contributions for researchers
Researchers and other analysts are interested in exploring different patterns of games and individual players as well
In our scenario, it was decided to use C# as the development language of the tool and implementation was carried out in asp.net 4.5 framework because it was aimed to develop cricket analytics tool that can be used for research purposes
Summary
The sports industry is well known for a large number of people including sports enthusiasts, professional in sports industry and has great contributions for researchers. Researchers and other analysts are interested in exploring different patterns of games and individual players as well. The volume of data is increasing incredibly that need to be analyzed for different purposes (predictive analysis and current analysis). The cricket industry has gone through immense height in prestige and became an important aspect of our economy. Massive amounts are being spent for the development of a team and heavy revenue is generated after the success of that team in any tournament or tour matches. With the economic factor involved, the need to statistically analyze the performance of a player and important decision making process based on that analysis has never been greater
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