Airbnb Listing Data for Puffery Analysis

Aggregating scraped Airbnb listing data used in a study on puffery in marketing. It was compiled by Michael Thomas for research published in the Journal of Marketing Research. The specific row count, column count, and data structure are not provided in the input.

Use Cases

• Analyze the relationship between listing description text and pricing metrics to study puffery effects.
• Examine host-provided listing features to correlate with guest booking or review patterns.
• Investigate textual and visual elements of listings for their impact on platform performance.

Strengths

• Data originates from a published academic study in the Journal of Marketing Research.
• The dataset was last updated in February 2026, indicating recent maintenance.

Limitations

• The input provides no information on the dataset's size, number of rows, columns, or sample data.
• The data collection method and structure are not detailed, requiring users to consult an external source (InsideAirbnb.com).

Provenance

Source

Scraped from Airbnb and distributed by InsideAirbnb.

Collection Method

Web scraping, as indicated by the description.

Freshness

Last updated on 2026-02-20.