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Save job listings from LinkedIn, Indeed, Greenhouse, Lever, Workday, and company career pages directly to LumaResume. 🎯 Save Jobs Instantly Browse job listings on LinkedIn, Indeed, Greenhouse, Lever, Workday, or any company career page and save them to your LumaResume account with a single click. No more copying and pasting job descriptions! ✨ How It Works 1. Browse jobs on any supported site or ATS 2. Click the LumaResume extension icon 3. Review the job details and click "Save Job" 4. Open LumaResume to tailor your resume to the job 🚀 Key Features • One-click job saving from 10+ job boards and ATS systems • Automatic extraction of job title, company, location, salary, and full description • Detects if you've already saved a job • Seamless integration with LumaResume's AI resume tailoring • Smart detection for company career pages 💼 Supported Job Boards • LinkedIn Jobs (linkedin.com/jobs) • Indeed (indeed.com) • Glassdoor (glassdoor.com) • Dice (dice.com) • ZipRecruiter (ziprecruiter.com) 🏢 Supported ATS Systems • Greenhouse (greenhouse.io) • Lever (lever.co) • Workday (myworkdayjobs.com) • Eightfold AI (eightfold.ai) • Generic company career pages 🔒 Privacy First • Only activates when you click the extension • Only reads job listing data (not your personal info) • Secure HTTPS communication • No tracking or analytics 📝 Requirements • Free LumaResume account (sign up at lumaresume.com) • Works with both free and Pro accounts Get noticed by recruiters by tailoring your resume to every job application. Install LumaResume - Job Saver today!
Jul 10, 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.