Unknown author · Workflow & Planning
3 items
Save, format, and organize LinkedIn job descriptions with 1-click export to Markdown, PDF, CSV, and Notion/Google Drive sync. JD Saver is a 100% free tool that helps you save, organize, and export LinkedIn job descriptions in one click — no account, no sign-up, no hidden costs. WHY JD SAVER? Job hunting means opening dozens of LinkedIn postings, and descriptions disappear the moment a listing closes or gets edited. JD Saver captures the full job description instantly and for free, so you never lose track of a role you're interested in. KEY FEATURES - Completely free — no account, no subscription, no hidden fees - One-click save from any LinkedIn job posting - Export to PDF for offline reference or sharing - Export to Markdown for notes apps like Notion, Obsidian, or Roam - Copy directly to clipboard for quick pasting - Works entirely in your browser — no account required - No data sent to external servers — everything stays local on your device WHO IS THIS FOR? - Active job seekers tracking multiple applications who want a free, reliable tool - Career coaches and recruiters archiving postings for reference - Anyone who wants a free way to keep a record of a job description before it's edited or removed HOW IT WORKS 1. Open any LinkedIn job posting 2. Click the JD Saver icon in your toolbar 3. Choose your export format — PDF, Markdown, or Clipboard 4. Done — your job description is saved, completely free PRIVACY FIRST JD Saver does not collect, store, or transmit your personal data to any server. All processing happens locally in your browser. Have feedback or a feature request? We're actively improving JD Saver based on user input — reach out anytime.
Aug 2, 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.