EV Specifications
Delivers detailed specifications for electric vehicles, including performance, battery, charging, and pricing information.
API Introduction
About this API
The EV Specifications API is a comprehensive electric vehicle information hub, designed to provide developers with a fast, accurate, and structured database of EV parameters. Our data covers hundreds of models across the rapidly growing EV market, from major brands like Tesla and Ford to emerging players like Rivian and Lucid, each with detailed technical specifications and performance data. Whether you are developing an EV comparison website, a charging locator app, or a tool for automotive research, this API provides the core data you need. It saves you from the effort of scraping and maintaining this complex and constantly updated database, allowing you to focus on creating an excellent user experience for EV owners and enthusiasts.
Key Features
- Extensive Vehicle Coverage: The database contains detailed information on a wide range of electric vehicles, covering all major global brands like Tesla, Ford, BMW, Hyundai, and more.
- Comprehensive Specifications: Provides detailed specs across dozens of categories, from "Battery & Range" and "Performance" to "Charging," "Body Dimensions," "Powertrain," and "Infotainment Features."
- Structured Quick Facts: Offers a "Quick Facts" summary for each vehicle, including core parameters like EPA Range, Battery Capacity, 0-60 mph time, Charging Speed, and Powertrain type for easy comparison and display.
- High-Resolution Vehicle Images: Provides official renders or high-quality photos for each EV, which can be used in product listings, detail pages, and comparison views to enhance visual appeal.
- Flexible Querying: Supports queries by brand and model name, allowing for easy and intuitive data retrieval for various application scenarios.
Use Cases
Scenario 1: Build a Professional EV Specification Comparison Website or App
- Situation: An automotive journalist or developer wants to create a platform that allows users to easily compare the detailed specifications of different electric vehicles.
- Implementation: The website's front end provides brand and model selectors. After a user selects two or more vehicles, the front end sends a request to the backend. The backend calls the EV Specifications API to get the full spec data for each EV. It then processes this data to generate a side-by-side comparison table organized by category (e.g., "Performance," "Battery & Range," "Charging"). Users can intuitively see the differences between a "Tesla Model Y Long Range" and a "Ford Mustang Mach-E Premium," helping them make informed purchasing decisions.
Scenario 2: Add an "EV Charging Assistant" Feature to a Navigation App
- Situation: A mapping and navigation app (like Google Maps or Waze) wants to provide more accurate and helpful information for electric vehicle drivers.
- Implementation: Within the app's settings, the user specifies their vehicle model (e.g., "Hyundai Ioniq 5"). The app's backend calls this API once to fetch and store the vehicle's detailed battery capacity and maximum DC fast charging speed. When the user plans a long-distance trip, the navigation algorithm uses this precise data to automatically suggest optimal charging stops and provide highly accurate charging time estimates ("Charge for 22 minutes at this station"), dramatically improving the EV ownership experience.
Scenario 3: Develop a "Fleet Electrification" Cost Analysis Tool
- Situation: A consulting firm wants to build a tool to help corporate clients analyze the total cost of ownership (TCO) of electrifying their vehicle fleets.
- Implementation: The tool's interface allows a fleet manager to input their current gasoline-powered vehicles and select potential EV replacements. The backend calls the EV Specifications API to retrieve the energy consumption (kWh/100 miles) and battery specifications for the selected EVs. The tool then combines this data with local electricity rates and government incentives to calculate the long-term operational savings compared to their current gasoline fleet, providing a clear financial justification for making the switch.
How it Works: Endpoints & Response
This API uses a vehicle's model name to accurately retrieve detailed information.
Endpoint Example: https://hub.juheapi.com/ev-spec/v1/search
The response JSON object is clearly structured and rich in information. The data object contains basic information like the make and model. The quick_facts object provides a highly summarized view of core parameters, perfect for display on list pages or summary cards. The specs array is a detailed list of key-value pairs, grouped by category (e.g., "Battery," "Performance," "Charging"), presenting all the vehicle's technical details. Developers can easily iterate through this array to build a comprehensive specifications page.