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Automatically detect and save your application form data — job, apartment, loan, and more. Never retype your answers again. Tired of filling out the same application over and over? Appdat automatically saves every answer you type into job applications, apartment applications, loan forms, and more — so you always have a record of exactly what you submitted. How it works When you land on an application form, a small Save button appears in the corner of your screen. Fill out the form as you normally would, then click Save before or after submitting. Appdat captures every field — text answers, dropdown selections, radio buttons, checkboxes, and uploaded file names — and stores it all locally on your device. What gets saved - Every question and your answer, labeled so you know what was what - The names of any files you uploaded (resume, cover letter, bank statement, etc.) - An optional copy of the file itself so you can re-download it later - The URL, date, and a custom title and notes you can add Browse your history Open the Appdat popup any time to see all your saved applications. Search by keyword, filter by type (Job, Apartment, Loan, and more), or create your own custom categories to stay organized. Works where you apply Appdat works on any standard web form. Whether you're applying through a company's career portal or a third-party application platform, if there's a form on the page, Appdat can save it. Your data stays yours Everything is stored locally in your browser using chrome.storage.local. Appdat makes zero network requests and has no servers, no accounts, and no telemetry. Uninstalling the extension removes all stored data.
Jul 14, 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.