Booking Reviews Dashboard

Web scraping is a powerful technique for obtaining data by automatically extracting information from websites. When APIs are unavailable or limited, this method enables the collection of insights from publicly accessible web content at scale.

The demo below illustrates a practical application of web scraping. All historical reviews and ratings for La Belle Ville, a hotel in Paris, France, have been retrieved from Booking.com and are updated daily. The dataset is then processed and visualized with interactive charts to reveal trends and insights.

Number of Reviews per Month
Top 5 Countries by Share
 
Top 5 Avg Rating by Country(>50 reviews)
Bottom 5 Avg Rating by Country (>50 reviews)
Insights

A higher rating on Booking.com increases both trust and perceived value for hotels, which allows them to charge more per room. The opposite is also true: lower ratings reduce trust and limit pricing power. Therefore, it is crucial to understand how ratings can be improved, and the first step is analyzing the data.

Having good data opens the door to new insights and strategic questions. From this demo for example the following questions arise:

Having access to this kind of data empowers businesses to uncover meaningful patterns, monitor performance, and develop targeted strategies.