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Export Airbnb search results to CSV, JSON, or Excel. Extract stays with prices, ratings, photos, and location in one click. Export Airbnb search results to structured data — in one click Airbnb Extractor helps you collect stay listings from Airbnb search result pages and download them as CSV, JSON, or Excel files. Whether you are doing market research, comparing prices, or building a property dataset, this extension saves hours of manual copy-paste work. HOW IT WORKS 1. Open an Airbnb search results page (choose your location, dates, and guests as usual). 2. Click the extension icon — it automatically detects the current search. 3. Click Export Listings and watch the progress overlay on the page. 4. Download your file when the extraction is complete. EXPORT FORMATS - CSV — open in Excel, Google Sheets, or any spreadsheet tool - JSON — ideal for developers and automation workflows - XLSX — ready-to-use Excel workbook WHO IS THIS FOR? - Short-term rental analysts and researchers - Real estate investors comparing markets - Travel planners building custom property lists - Data teams collecting structured listing information - Anyone who needs Airbnb search data in a spreadsheet PRIVACY Airbnb Extractor runs in your browser on pages you visit. Extraction happens locally in your session. We do not sell your browsing data. Disclaimer Airbnb Extractor is an independent tool and is not affiliated with, endorsed by, or sponsored by Airbnb, Inc. Use responsibly and in accordance with Airbnb’s Terms of Service and applicable laws. You are responsible for how you use exported data.
Jun 11, 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.