PYTHON-POWERED DATA ANALYSIS THROUGH WEB SCRAPING
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Abstract
The rationality approach to developing extrapolation exams, for example, and small-scale, subjective, and quantitative examinations are all forms of standard information investigations that are founded on the root-and-effect relationship. The contrast between the Web Scraper's cunning ethics and techniques explains how the scraper operates. The three steps of the process are as follows: first, the web scraper gathers the necessary connections from the internet; second, the data is extracted from the source links; and third, the data is saved in a CSV file. The task is performed using the Python programming language. By doing this, along with the moral library knowledge and practical know-how, we might be able to obtain the necessary Scraper in our possession. Python's extensive community, library resources, and elegant coding style make it the ideal language for extracting required data from the target website.
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References
Renita Crystal Pereira and Vanitha T, "Web Scraping of Social Networks," Vol. 3, 2015, pp. 237-240,
International Journal of Innovative Research in Computer and Communication
Kaushal Parikh, Dilip Singh, Dinesh Yadav, and Mansingh Rathod, "Detection of web scraping using machine
learning," Vol. 3, 2018, pp.114-118, Open access international journal of Science and Engineering.
Sameer Padghan, Satish Chigle, and Rahul Handoo, "Web Scraping-Data Extraction Using Java Application and
Visual Basics Macros," in Journal of Advances and Scholarly Researches in Allied Education, Vol.15, 2018, pp. 691-
Anand V. Saurkar, Kedar G. Pathare, and Shweta A. Gode, "An Overview On Web Scraping Techniques And
Tools," Vol. 4, 2018, pp. 363-367, International Journal on Future Revolution in Computer Science & Communication
Engineering.Statistical Journal of the IAOS, pp. 165-176, 2015.
Federico Polidoro, Riccardo Giannini, Rosanna Lo Conte, Stefano Mosca, and Francesca Rossetti, "Web scraping
techniques to collect data on consumer electronics and airfares for Italian HICP compilation," Statistical Journal of the
IAOS, pp. 165-176, 2015.
"Web Mining of Firm Websites: A Framework for Web Scraping and a Pilot Study for Germany," Jan Kinne and
Janna Axenbeck, 2019.
Ingolf Boettcher, "Automatic data collection on the Internet," pp. 1-9 in Ingolf Boettcher, "Automatic data
collection on the Internet," pp. 1-9 in Ingolf Boettcher,"Automatic
"An Emerging Data Collection Method for Criminal Justice Researchers," Justice Research and Statistics
Association, pp. 1-9, 2017.
Erin J. Farley and Lisa Pierotte, "An Emerging Data Collection Method for Criminal Justice Researchers," Justice
Research and Statistics Association, pp. 1-9, 2017.