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See transit lines, neighborhood vibes, and crowdsourced tags right on Airbnb's map. Pick the best place to stay. Airbnb Better Maps overlays useful neighborhood data on Airbnb's map view. It helps you pick a place to stay based on what actually matters to you, not just price and photos. LAYERS • Transit lines: Subway, tram, light rail, and commuter rail, sourced from OpenStreetMap. Color-matched to the real network where data is available, so the map looks like a transit map. • Neighborhood zones: Colored regions for Hipsters, Suits, Rich, Tourists, University, Normies, Nightlife, and Crime, sourced from Hoodmaps. Adjustable opacity and per-category toggles. • Hoodmaps tags: Short crowdsourced labels like "a LOT of tourists", "Rich person farmer's market", "Best part" — sized by community vote count and styled to match Hoodmaps. HOW IT WORKS Open any Airbnb search-results page and click the "Layers" pill on the top-left of the map. Toggle layers on or off, adjust the opacity, pick which categories you want to see. Your preferences are remembered. The extension only activates on Airbnb search results. It does not run on listing-detail pages or anywhere else. PRIVACY Nothing about you is collected, transmitted, or sold. The extension runs entirely in your browser. The only network requests it makes are to fetch public map data (OpenStreetMap and Hoodmaps) for the city you're currently looking at. See the privacy policy for the full breakdown. CREDITS • Transit geometry: OpenStreetMap contributors, via the Overpass API. • Neighborhood data: Hoodmaps.com. Source code: https://github.com/hugobiais/airbnb-better-maps
May 21, 2026
rating_count is the Chrome Web Store ratings count, not a written-review count.
Media assets
Screenshots and videos on the listing.
Has promo video
Whether the listing includes at least one video.
Languages
Declared language locales.
Developer website
Listing exposes a developer website URL.
Contact email
Listing exposes a contact email.
Keyword in name
Case-insensitive substring match in the name.
Keyword in description
Case-insensitive substring match in the description.
Keyword occurrences in description
Count of case-insensitive occurrences in the description.
Category user-count percentile
Share of same-category extensions with fewer users (null if unknown).
These are transparent listing completeness / keyword signals, not a prediction of Chrome Web Store search ranking.