Airbnb Data by City: 90,169 Listings Across 6 US Markets (CSV)

One zip, six US short-term-rental markets, 90,169 Airbnb listings in clean 12-column CSVs: Austin, Nashville, Denver, New York City, Las Vegas (Clark County) and San Diego. Every number on this page is copied from the files inside the pack, so you can judge the data before you spend $39.

Listings by City, With Snapshot Dates

City	Snapshot	Listings	Median nightly price	Entire home share
Austin, TX	2026-06-22	11,295	$217	82%
Nashville, TN	2026-06-26	10,242	$282	90%
Denver, CO	2026-06-30	4,939	$176	85%
New York City, NY	2026-08-10	30,234	$175	55%
Las Vegas (Clark County), NV	2026-06-27	20,234	$234	69%
San Diego, CA	2026-06-27	13,225	$323	83%
Total	6 markets	90,169

Counts, medians and room-type shares come from cities-index.csv, computed from the exact CSVs shipped in the zip. Two naming quirks: Austin's cleansed neighbourhoods are ZIP codes, and the Las Vegas file covers all of Clark County, not the Strip alone. Source data by Inside Airbnb (CC BY 4.0), downloaded 2026-09-06.

8 Real Rows From the Austin File

id	name	neighbourhood	latitude	longitude	room_type	price	min_nights	avail_365	reviews	rev/mo	last_review
944156894640610027	Tarrytown bungalow	78703	30.2988	-97.7803	Private room	149.00	1	360	4	0.12	2025-10-18
1308737991593278409	Empire	78704	30.2321	-97.7904	Entire home/apt	593.00	1	339	41	2.39	2026-06-20
1629102399632790498	Sweet suite in Westgate - garden views	78745	30.2251	-97.7921	Entire home/apt	51.01	30	348	0
745531245085063603	Book Now for Graduation/Memorial Day! \|15 minSoCo	78744	30.1913	-97.7370	Entire home/apt	300.70	1	10	75	1.71	2026-06-14
48867583	Close to UT Austin + Rooftop Pool. Bar. Dining.	78701	30.2687	-97.7376	Private room	208.00	1	157	1382	21.75	2026-06-20
700669261299122407	Luxury condo w/Balcony, Rooftop Pool, Rainey St	78701	30.2565	-97.7388	Entire home/apt	212.50	2	61	149	3.23	2026-06-21
1561640752414299136	Steps From Campus & Red River Spots	78705	30.2929	-97.7252	Private room	36.03	30	89	0
711100790609865421	Stylish Scandinavian house, 10min from downtown!	78704	30.2311	-97.7730	Entire home/apt	1230.67	3	263	1	0.02	2022-10-23

Copied unchanged from sample/austin-preview-20.csv, which ships in the zip so you can inspect the schema before opening anything big. Blank reviews_per_month and last_review cells mean the listing had zero reviews at snapshot. Prices keep the source's two-decimal format.

The 12 Columns, Explained

id - Airbnb listing ID, stable across snapshots. Use it to join or dedupe.
name - the listing title, truncated to 80 characters. Host-written text, so expect marketing language.
neighbourhood - Inside Airbnb's cleansed neighbourhood name, drawn from open GIS boundaries rather than host input.
latitude / longitude - rounded to 4 decimal places, about 11 meters of precision. Deliberately blurred so no exact address can be recovered.
room_type - one of Entire home/apt, Private room, Hotel room, Shared room.
price - nightly list price in US dollars, cleaned from the source's "$1,234.00" text. The advertised rate, not the settled rate with fees.
minimum_nights - the shortest stay the listing accepts.
availability_365 - nights open in the next 365 days per the scrape-day calendar. A proxy for how active the calendar is, not realized occupancy.
number_of_reviews - lifetime review count at snapshot.
reviews_per_month - lifetime review rate, blank when the listing has zero reviews. Roughly half of guest stays leave reviews, so real demand runs higher than this column implies.
last_review - date of the most recent review, blank if never reviewed. Reviews lag, so a listing booked this month can still show an old date.

Same 12 columns in all six city files, so joins and group-bys work across cities in pandas, Sheets or R without schema surgery. ZIP-level rent benchmarks join onto the same geography: the HUD fair market rent data pack keys FMR by ZIP code and county for all 50 states.

No Host Data, On Purpose

The pack carries no host names, no host IDs, no host profile links and no exact street addresses. Coordinates are rounded to 4 decimal places and listing names are truncated. That keeps the analytic value (price levels, location patterns, room-type mix, calendar availability) and cuts the surveillance value.

For client work this matters in a boring, practical way: you can put these CSVs into a report, a model or a slide deck without handling personal data you'd have to safeguard. If you genuinely need host-level fields, the full-detail source files are on Inside Airbnb under the same CC BY 4.0 license.

What's in the $39 Pack

6 city CSVs - cities/<city>/listings-summary.csv, 11,295 to 30,234 rows each, 12 columns, one row per listing.
cities-index.csv - one row per city: snapshot date, row count, median price, room-type mix. This page's first table is that file.
multi-city-summary.md - cross-city comparison and methodology.
data-dictionary.md - every column explained, plus known quirks.
sample/austin-preview-20.csv - the 20-row Austin preview shown above.
normalize.py - the exact script that produced the CSVs, so you can reproduce or modify the pipeline.
ATTRIBUTION.txt + source-sha256.txt - the CC BY 4.0 credit line and SHA-256 hashes of each downloaded source file.

Nineteen files, 3.83MB zipped (11.8MB uncompressed). Typical uses: pulling comps for a market before you buy, comparing six markets on price and room mix before committing capital, ceiling estimates (availability_365 times price), demand reads from review velocity, and teaching data work on files that load clean.

Snapshot honesty: these are point-in-time scrapes, not a live feed. Each city has its own date, from 2026-06-22 (Austin) to 2026-08-10 (NYC), stated in the index file, the summary and the attribution file.

Three quirks worth knowing before you model: price can be zero or blank on a handful of rows, so filter those for revenue math; availability_365 reflects the calendar as hosts had edited it on scrape day; and review counts lag actual bookings by weeks.

Get the Airbnb Multi-City Investor Pack - 90,169 listings, $39 →

$39 one-time · 19 files · 3.83MB zip · 12-column schema · CC BY 4.0 · instant download