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Extract Airbnb host reservation data and income for accounting purposes Extract Airbnb reservation income from your hosting calendar: CSV & text export, saved history per listing, and reminders for unsent months. Airbnb Host Income Extractor helps hosts export reservation income from Airbnb’s Hosting Calendar and Multicalendar so you can share clean data with your accountant—without manual copy-paste from every stay. What it does Walks your visible reservations, opens each stay, and reads earnings (and related details) from the reservation panel. Filters by period (from / to month) so you only export what you need. Exports CSV (with UTF-8 BOM for Excel) or plain text you can copy to email or documents. Saved & organized Keeps extractions per listing (property), with a history you can reopen, download again, or copy as text. “Sent” marks when you’ve already sent a run to your accountant, so you don’t double-send. Reminder: if past months still have unsent extractions, the extension icon can show a badge so nothing slips. Extras Skips stays you’ve already exported for that listing (no duplicate rows in one flow). English / Greek UI. Works with multiple properties: open each listing’s calendar and extract; data stays separate per listing. How to use Open your Airbnb calendar or multicalendar for the listing you want. Set the period, run Extract, then download CSV or copy text. Use Saved to find past runs and mark them Sent when you’ve forwarded them. Note: This extension only reads data from pages you open while you’re logged into Airbnb as a host. It does not access your Airbnb account outside the calendar experience you use in the browser.
Apr 4, 2026
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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).
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