Catalog / Hotels & Tourism / Data feed
Hotels & Tourism · weekly ban:high tC

Airbnb new-listing velocity by US metro

count of newly created Airbnb listing IDs appearing per week in a metro (via sitemap/search-grid crawl)

Feed detail
Measures
count of newly created Airbnb listing IDs appearing per week in a metro (via sitemap/search-grid crawl)
Source
Airbnb public search/sitemap XML or AirDNA free sample data
Access
scrape-hostile
Cadence
weeklyupdates roughly weekly
Thesis
new supply entering a metro leads local rent-inflation reversals and STR-regulation political pressure; front-runs city council STR ordinance news cycles
Maps to
local housing/rent CPI components, hotel REITs in same metro (regional)
Crowdedness
contested
Tier
tC
Ban-risk
ban:high
Where this stands

This is a catalogued data feed with a research idea attached, not a validated edge. Being listed here means it has a specific source and a one-sentence causal mechanism mapped to what it should move — it doesn’t mean it has cleared the five-stage validation gate (point-in-time hygiene, out-of-sample holdout, multiple-testing correction, and the portfolio-layer backstop). As of today, every score on this site is prior-only; zero signals in the catalog have been promoted to “measured” status. See the methodology page for the full validation process and current counts.

Browse the rest of Hotels & TourismOccupancy, rate, and booking-pace signals across hotels and short-term rentals, ahead of quarterly RevPAR prints.