Web Scraping: Applications and Scraping Tools
Norulhidayah Isa, Nur Syuhada, Mohd Yusof, Muhammad Atif Ramlan, Rabiyatou Diouf, Edouard Ngor Sarr, Ousmane Sall, Babiga Birregah, Mamadou Bousso, Sny Ndiaye, Mbaye, Anand Saurkar, G Kedar, Shweta Pathare, Gode, Ram Chaulagain, Santosh Sharan, Sadhu Pandey, Ram Basnet, Subarna Shakya, Alex Bradley, Richard Je James, Richard Landers, C Robert, Katelyn Brusso, Andrew Cavanaugh, Collmus, Eloisa Vargiu, Mirko Urru, Tengku Mazlin, Ab Tengku, Roselina Hamid, Sallehuddin, Mohd Zuriahati, Aida Yunos, Al, Geoff Boeing, Paul Waddell, Yuma Makino, Vitaly Klyuev, Lalita Junjoewong, Supatsara Sangnapachai, Thanwadee Sunetnanta, Evta Indra, Tamarai Dinesh, Quang Le, Davar Thai, Pishva, Giulio Barcaroli, Alessandra Nurra, Marco Scarn, Donato Summa
Abstract
The world of Artificial Intelligence and machine learning has its common roots with data, which is primarily the most important entity on its own. Data has already impacted so many businesses worldwide and can never take a back seat when it comes to this technical world. To get access to data in its best form, web scraping was brought to use. Data provided on the internet is of so much use that the whole world is running after it. Web scraping was brought into practice long back and is still useful to date. This paper aims to make people aware of this technology to help them expand their knowledge. Tools and applications related to web scraping are also mentioned.