3 items
See how well your resume matches any job listing on LinkedIn. Get your match score instantly. Stop guessing whether you're a good fit. Job Match Score instantly analyzes LinkedIn job listings and shows you exactly how well your resume matches — right on the page. HOW IT WORKS: 1. Paste your resume into the extension popup 2. Browse LinkedIn job listings as usual 3. See your match score badge appear on every job you view FEATURES: - Instant match score (0-100%) on every LinkedIn job listing - Smart keyword extraction from your resume and job descriptions - Color-coded badge: green (strong match), yellow (partial), red (weak) - Click the badge to see which keywords matched and which are missing - Resume keywords saved locally on your device (never sent to any server) - Works on linkedin.com/jobs pages automatically - Synonym matching: "Node.js" matches "NodeJS", "Python" matches "py" - Multi-word skill detection: "machine learning", "data science", etc. - False-positive prevention: "Java" won't match "JavaScript" WHO IT'S FOR: - Job seekers who want to quickly filter relevant listings - Career changers who want to identify skill gaps - Anyone applying to multiple positions on LinkedIn PRIVACY FIRST: - All processing happens locally in your browser - Your resume data never leaves your device - No accounts, no sign-ups, no tracking - No data is collected or transmitted FREE TO USE: Job Match Score is completely free with no hidden costs.
Apr 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.