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Calculate your estimated monthly profit from your Airbnb listing. Maximize your Airbnb earnings with our easy-to-use profit calculator. Our extension helps you estimate your potential monthly income by considering key factors such as nightly rates, occupancy rates, fixed costs, taxes, and Airbnb service fees. - Average Nightly Rate: Input your average nightly rate to calculate potential income. - Occupancy Rate: Adjust the occupancy rate to see how it affects your monthly profit. - Fixed Costs: Include your monthly fixed costs like mortgage payments, salaries, and other recurring expenses. - Taxes: Factor in local or national taxes that impact your earnings. - Airbnb Service Fee: Account for the service fee charged by Airbnb. How to Use 1. Install the Airbnb Profit Calculator extension from the Chrome Web Store. 2. Click on the extension icon in the Chrome toolbar to open the calculator. 3. Enter your data for nightly rate, occupancy rate, fixed costs, taxes, and service fees. 4. Instantly see your estimated monthly profit displayed at the top of the calculator. Why Use Airbnb Profit Calculator? - Easy to Use: Simple and intuitive interface makes it easy for anyone to use. - Accurate Estimates: Get accurate monthly profit estimates to make informed decisions about your Airbnb property. - Free: Completely free tool to help you maximize your Airbnb earnings. Get More Insights: Interested in a more detailed analysis of your property's earning potential? Visit [bnbval.com](https://bnbval.com) to get a comprehensive estimate and discover more tools to help you succeed as an Airbnb host.
Jul 22, 2024
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.