3 items
Highlights specific words instantly on LinkedIn Jobs. Stop wasting time scanning endless job descriptions – find your perfect fit faster! JobLense: LinkedIn Jobs Word Highlighter revolutionizes your job search by making crucial information immediately visible. No more squinting or endless scrolling through job posts! Why JobLense Beats CTRL+F: Unlike repeatedly pressing CTRL + F for each individual word, JobLense is your intelligent, always-on assistant. It automatically highlights all your pre-defined keywords across an entire page, continuously scanning new content as you scroll or click. This means you instantly see everything that matters, without manual, repetitive searching. Here's why JobLense is essential for every job seeker: Total Customization: Your job search is unique, and so is our highlighter. Easily add any custom words or phrases that matter most to you – be it specific skills, desired company values, or crucial visa requirements. You control what stands out! Effortless Navigation: Say goodbye to manual searching. Our intelligent auto-scroll feature guides you directly to the next instance of your highlighted words on the page. Focus on the relevant details, not on finding them. Simply Intuitive: Designed for everyone, this extension requires absolutely no technical knowledge. No CSS, no complex settings – just install, customize, and transform your LinkedIn job search into an efficient, frustration-free experience. Take control of your career journey. Install JobLense: LinkedIn Jobs Word Highlighter today and make your dream job discoverable!
May 9, 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.