5 items
Extract and analyze job postings with AI, save structured data to Supabase 🚀 Sage.Coach Job Extractor Extract, analyze, and save job listings - instantly. The Sage.Coach Job Extractor reads job descriptions directly from your browser, uses AI to summarize and interpret the role, and saves it in structured form to your Sage.Coach workspace. Whether you're comparing roles, prioritizing opportunities, or collaborating with your coach, this extension gives you a smarter, faster way to track and evaluate job listings. 🧠 Key Features → 1‑Click Extraction: Grab job title, company, location, level, salary (if posted), and more—right from the page. → AI‑Powered Insights: Automatically highlights key responsibilities, must‑have qualifications, team signals, and red flags. → Structured Save to Sage: Save extracted listings to your personalized job tracker inside Sage.Coach, no copy/paste needed. → Works on Top Job Boards: Supports LinkedIn, Greenhouse, Lever, Workday, and more. → Custom Tags & Notes: Add personal notes, tags, or urgency levels to help prioritize roles. → Coach Collaboration Ready: Automatically share saved jobs with your coach for feedback and strategy. ✅ Perfect For → Job seekers using Sage.Coach to organize and accelerate their search → Anyone tired of juggling tabs, spreadsheets, and screenshots → Clients working with a coach who want smarter, faster progress Start saving and sorting your top roles in seconds—right from your browser. Requires a Sage.Coach account.
Jun 30, 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.