A Comprehensive Review of Web Scraping and Machine Learning Techniques for City-Wise Rent and Living Cost Estimation

Ashwini Anant Dhase; Priyanka Bhore; Vaishnavi Suresh Gawade; Snehal Raghunath Gavhane; Pranali Laxman Gopane

A Comprehensive Review of Web Scraping and Machine Learning Techniques for City-Wise Rent and Living Cost Estimation

Author(s)	Ms. Ashwini Anant Dhase, Prof. Priyanka Bhore, Ms. Vaishnavi Suresh Gawade, Ms. Snehal Raghunath Gavhane, Ms. Pranali Laxman Gopane
Country	India
Abstract	The rapid growth in urban populations, and the movement of individuals for education or job opportunities have put pressure on creating reliable methods for estimating rental costs. Current platforms that focus on real estate primarily use rental listings as a means of providing access to finding a place to live, however they do not generally include comprehensive living cost estimates, fairness analysis of prices, or personalised recommendations. This paper will address 36 research papers from 2001 to 2025, examining predictive rental price algorithms and web scraping techniques, big data analytics and ensemble machine learning models, deep learning methods, and spatial analysis methods, as well as using XAI in the housing domain. According to current research, ensemble-based learning methods—like Random Forest and boosting frameworks—perform better than conventional regression models in predicting rental and home prices. It was also shown that using geographic features, socio-economic indicators, multi-modal inputs, and explainability based on SHAP contribute to enhanced accuracy and transparency of the rental price prediction models. However, a unified model for web scraping in real time, estimating total living costs (rent, utilities, food, and commute), selecting and recommending AI based on total living costs, and creating a fair rent type for flatmates does not presently exist. The research presented provides a basis for the creation of an xAI-based living cost estimator using a unified, AI-driven rental cost estimator system
Keywords	Rental Pricing Predictions, Cost-of-Living Estimations, Web Scraping Techniques, Machine Learning Algorithms, Ensemble Learning Methods, XGBoost Classifiers, Explainable AI (XAI) Solutions, SHAP (Shapley Additive Explanations) Values, Big Data Analytical Tools, Urban Real Estate Markets, Spatial Data Analysis Techniques, Recommendation Systems, Game Theory Principles, Shapley Values, Smart Homes / Housing Systems
Field	Engineering
Published In	Volume 8, Issue 2, March-April 2026
Published On	2026-04-05

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A Comprehensive Review of Web Scraping and Machine Learning Techniques for City-Wise Rent and Living Cost Estimation

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