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Parse job listings, match keywords to your resume, and tailor applications from the web app or Chrome side panel. Applymate4u helps you move faster on job postings. Open the side panel on supported career sites to extract structured job details (title, company, location, salary when visible), surface keywords matched to your resume, and see quick insights—without copying pages into a spreadsheet. What you get • Side panel workflow built for scanning roles while you browse • Parsing tuned for common job boards and listing layouts (with fallbacks when a site is new) • Keyword grouping and match-style signals to align your resume with the posting • Optional AI enrichment powered by your Applymate4u account (server-side—no API keys in the extension) • Actions that tie back to the web app where you manage resumes and applications How it works Sign in with your Applymate4u account in the browser. The extension reads the active job page you’re viewing and sends the extracted text to Applymate4u only when you use features that need your backend (for example enrichment or saving). No model keys are embedded in the extension. Privacy & data Sign-in identifies your workspace. What you parse and save is governed by Applymate4u’s privacy policy on your site. Use the extension only on pages you’re allowed to access. Requirements • Chrome (Manifest V3) • An Applymate4u account for features that call your workspace Tips Pin the extension and open it on a job posting page. Use reload if the listing updates after filters or navigation.
Jun 15, 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.