What question did this study set out to answer?

The aim is to create a dataset and analyze hotel prices across Italian provinces using web-scraped data.

March 4, 2026Open Access

Spatial Price Indices for Hotel Accommodation in Italy: New Evidence from Web-Scraped Data

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Constructs spatial price indices for hotel accommodations in Italy, highlighting pricing disparities across regions, indicating market trends.

The aim is to create a dataset and analyze hotel prices across Italian provinces using web-scraped data.
Automated web scraping of a major meta-search platform for hotel prices.
Application of the Country Product Dummy method to compute Spatial Price Indices.
Control for hotel quality, service type, and online reputation in analyses.
Utilization of Moran's I statistic and Local Indicators of Spatial Association for spatial analysis.
Significant positive spatial autocorrelation in hotel prices observed.
High-price belt identified in Alpine provinces and low-price zones in the South.
Quality-adjusted hotel prices in Bolzano nearly three times the national average.
Several southern provinces show hotel prices below 80% of the national average.

Benedetti et al. (2026) studied this question.

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Constructs spatial price indices for hotel accommodations in Italy, highlighting pricing disparities across regions, indicating market trends.