Introducing an Intelligent Web Scraping (Mining) Method for Analysing Online Reviews of Tehran Accommodation Users

This research, aimed at analyzing and evaluating online user reviews of accommodations in Tehran, utilizes advanced web scraping techniques. This paper presents a comprehensive automated web scraping method for collecting and analyzing user reviews on an online accommodation platform in Tehran. This smart method includes website selection, tool evaluation, data extraction, preprocessing, and review analysis. By employing this approach, accommodation owners, managers, and marketers can gain deep insights into customer preferences, satisfaction levels, and areas for improvement. Additionally, tourists and users can obtain valuable information from others' experiences when selecting their accommodation. Based on the research findings, the smart web scraping method enables the analysis of large and valuable datasets and can aid in strategic decision-making in the tourism services sector. The findings are presented using descriptive statistics and analytical tests, including t-tests and ANOVA, to assess the mean differences in user reviews across various hotel categories. The study indicates that the average ratings for hotel amenities, room prices, room quality, hotel location, and health protocols are generally above the expected average, reflecting a generally positive perception of Tehran's hotels