Unknown author · Tools
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Viewing a hotel on Booking.com? One-click extract all HD images, supports select-all download or single download. Booking Image Downloader is a batch image downloader designed specifically for Booking.com hotel pages, helping you quickly obtain high-resolution images of hotels. On any Booking.com hotel details page, click the extension icon to launch the download panel on the right. The extension automatically scans all high-resolution hotel images from cf.bstatic.com and displays them as a thumbnail list. You can: 📸 Select a single image to download 📸 Click "Select All" to select all images at once 📸 Batch download all selected images 📸 Quickly download a single image The extension supports multi-selection and batch downloading of images. All images are saved in high-resolution original quality (max 1280x900), file names automatically retain the original filenames, and are automatically stored in folders by hotel ID. Whether you are a hotel operator, travel blogger, or trip planner, you can significantly improve your image collection efficiency. Developed based on Manifest V3, it has streamlined permissions, only requesting tab, download, script injection, and local storage permissions, and does not collect any user data. [Monetization Method Explanation] This extension includes paid features: • The free version offers a limited trial period, after which some features will be restricted. • A paid subscription unlocks all features. • Subscription status can be managed via Google Sign-in. All payments are processed through secure third-party services and your payment information will not be collected.
Jul 13, 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.