vAuto Value Extractor

Extract vehicle specs, valuations (MMR, KBB, Black Book, J.D. Power), and equipment data seamlessly from vAuto appraisal pages.

vAuto Value Extractor is a powerful workflow automation extension designed for automotive professionals, dealership appraisers, and inventory managers utilizing vAuto. Streamline your vehicle appraisal process by instantly parsing vehicle specifications, market valuation benchmarks, and full equipment checklists directly from vAuto appraisal pages with a single click. =================================== ✨ KEY FEATURES =================================== 🚘 Comprehensive Vehicle Specifications Extract complete vehicle details in seconds: • VIN (Vehicle Identification Number) • Year, Make, Model, Series / Trim • Body Type, Engine & Transmission Specs • Exterior Color & Current Odometer / Mileage 📊 Valuation Benchmarks at a Glance Pull 6 major industry valuation figures simultaneously: • Manheim Market Report (MMR) • Black Book Appraisal Values • Kelley Blue Book (KBB) • J.D. Power Valuation • rBook Benchmark • KBB.com Online Appraisal Value ⚡ Deep Shadow DOM & Custom Web Component Parsing Scrapes complex custom Web Components (`<ids-checkbox>`, `<vauto-appraisal-formatted-input>`) to accurately extract equipment lists, optional features, and checked states (true/false). 🌐 Seamless API Sync Includes pre-configured integration with `https://axisxchange.com/api/carquery/vautoextract` to automatically push extracted vehicle data to your backend database with zero extra manual entry required. 🖥️ Glassmorphism Dashboard Interface • Overview Tab: Key vehicle tags and valuation cards. • Equipment Tab: Live breakdown of equipment badges and options. • Raw JSON Inspector: Inspect structured data payloads prior to sync. =================================== 🚀 HOW TO USE =================================== 1. Navigate to any vAuto vehicle appraisal worksheet. 2. Click the vAuto Value Extractor icon in your browser toolbar. 3. Click "Extract & Send Payload" to push data directly to your backend, or click "Preview" to inspect vehicle data locally.