90,169 Airbnb listings from six US short-term-rental markets in one zip: Austin 11,295, Nashville 10,242, Denver 4,939, New York 30,234, Clark County NV 20,234, San Diego 13,225. Snapshots run June to August 2026, and each city's date is recorded in cities-index.csv and ATTRIBUTION.txt.

Every city CSV uses the same 12 columns: price, room_type, neighbourhood, coordinates, minimum_nights, availability_365, review counts and last_review. One schema across all six means joins and group-bys work in pandas, Sheets or R with no cleanup pass.

Built from Inside Airbnb summary data (CC BY 4.0) with host fields stripped: no host names, no IDs, no exact addresses. Coordinates rounded to 4 decimals, listing names truncated. The zip also carries data-dictionary.md, per-city medians and room mix, a 20-row sample, source SHA-256 hashes and normalize.py so you can audit or rerun the pipeline.