5 items
Extract a job posting from the current page and tailor your master resume to it, without leaving the page. Tailor your resume to the job you're looking at, in one click. ResumeCommand's extension reads the job posting on the page you're viewing and tailors your master resume to it | no copy-pasting, no switching tabs. **How it works** 1. Open any job posting (LinkedIn, Indeed, a company careers page | anywhere). 2. Click the ResumeCommand icon and hit **Extract this job**. The extension reads the posting text already on the page and pulls out the role, company, requirements, and skills, plus a match score against your master resume. 3. Hit **Tailor my resume**. ResumeCommand rewrites your resume to surface the experience and skills this role is asking for. 4. Click **Open in ResumeCommand** to review, edit, and export your tailored resume as a polished PDF. **Why it's different** Because the extension reads the posting directly from the page you're already on, it works on sites that block automated scrapers | the job text is simply there in your browser. **You need a free ResumeCommand account** with a master resume on it. Sign in happens through your browser; the extension never sees your password. **What it does *not* do** - It does not read pages you don't ask it to | it only reads a page's text when you click **Extract this job**. - It does not track your browsing, and it has no access to your other tabs. Questions or feedback: support@resumecommand.com
Jul 3, 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.