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X-ray Booking.com and Airbnb reviews before you book. Booking.com and Airbnb reviews are a wall of text you don't have time to read — and half of them are gamed. Room X-Ray reads them for you and shows a clear verdict right on the listing, before you book. ★ WHAT IT DOES Open any hotel on Booking.com or any stay on Airbnb. Room X-Ray adds a panel to the page with: • A one-line VERDICT and star score — is this place actually worth it? • RED FLAGS pulled from real guest reviews — noise, cleanliness, bait-and-switch photos, bad hosts • PROS & CONS in plain English — no scrolling through 400 reviews • CATEGORY RATINGS — location, cleanliness, value, host — at a glance No sign-up. No account. No cookies. Install it and it just works. ★ WHY TRAVELERS USE IT Reviews are easy to fake and exhausting to read. Hosts nudge happy guests to leave 5 stars and bury the bad ones. The real signal is in the 2- and 3-star reviews — the ones nobody reads. Room X-Ray surfaces that signal in seconds so you don't book the place with the "surprise" construction site next door. ★ WORKS ON • Booking.com — hotels, apartments, guesthouses • Airbnb — every listing type ★ PRIVATE BY DESIGN Room X-Ray is anonymous. No login, no tracking of who you are, no cookies following you around. It reads the reviews on the page you're already looking at — nothing more. ★ FREE No trial, no paywall, no upsell to read your summary. Planning the trip? Room X-Ray can also surface car rental options for your destination when you need to get around — one click, no obligation. Install Room X-Ray and stop gambling on where you sleep.
Jul 20, 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.