Abstract: Purchasing of real estate property is a stressful and time-consuming activity, regardless of the individual in question is a buyer or seller. The act is also a major financial decision which can lead to numerous consequences if taken hastily. Therefore, it is encouraged that a person should properly invest their time and money in research relating to price demands, property type and location, etc. It can be a difficult task to assess what real estate property can be considered as the best property to buy. The key idea of the current research study is to create a set of standard rules, which should be embraced to make a smart decision of buying real estate property, based on web scraping technology and machine learning techniques.

Haris Ahmed, Tahseen Ahmed Jilani, Waleej Haider, Syed Noman Hasany, Mohammad Asad Abbasi and Ahsan Masroor, “Producing Standard Rules for Smart Real Estate Property Buying Decisions based on Web Scraping Technology and Machine Learning Techniques” International Journal of Advanced Computer Science and Applications(IJACSA), 11(3), 2020. http://dx.doi.org/10.14569/IJACSA.2020.0110363

@article{Ahmed2020,
title = {Producing Standard Rules for Smart Real Estate Property Buying Decisions based on Web Scraping Technology and Machine Learning Techniques},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2020.0110363},
url = {http://dx.doi.org/10.14569/IJACSA.2020.0110363},
year = {2020},
publisher = {The Science and Information Organization},
volume = {11},
number = {3},
author = {Haris Ahmed and Tahseen Ahmed Jilani and Waleej Haider and Syed Noman Hasany and Mohammad Asad Abbasi and Ahsan Masroor}
}