3 items
Scan a job. Discover the skills behind it. Know what to learn — parsed on your device. No account, no server, no cost. RoleScan helps you understand which skills, technologies, and learning topics matter most across the jobs you are interested in. Instead of simply saving job descriptions, RoleScan analyzes each posting and identifies the skills and technologies mentioned. As you save more jobs, the Learning Topics view shows which skills appear most often, helping you see where the market is pointing and what you may want to learn next. HOW IT WORKS 1. Open a job posting. 2. Click the RoleScan extension. 3. RoleScan extracts useful information such as: • Skills and technologies • Experience requirements • Responsibilities • Job title and company • Location and work mode 4. Save the job to your RoleScan dashboard. 5. View Learning Topics to see which skills recur across the jobs you saved. LEARNING TOPICS This is the core of RoleScan. RoleScan combines the skills found across your saved jobs and highlights the topics that appear most frequently. For example, if multiple jobs mention: • Python • RAG • LangChain • AWS • Docker RoleScan makes those patterns visible so you can decide what to prioritize in your learning roadmap. PRIVATE BY DESIGN RoleScan processes job information locally in your browser. No account is required, and job-posting data is not sent to an external RoleScan server. RoleScan is designed to turn job searching into a learning roadmap.
Sep 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.