The Get Electric Vehicle Statistics API is a comprehensive solution designed to provide detailed and accurate information about electric cars of various makes and models. This API offers structured access to technical and performance data, making it a valuable tool for users seeking to gain in-depth knowledge of the characteristics of today's electric vehicles.
The available data includes comprehensive battery specifications, such as total and usable capacity, cell type, voltage, architecture, and cathode material, enabling a thorough analysis of the energy technology behind each model. In addition, the API provides details about the charging system, including ports, location, maximum AC and DC power, protocol compatibility, and charging speeds in different scenarios.
Performance information includes metrics such as acceleration, top speed, electric range, total power, torque, and energy consumption in real-world conditions. CO2 equivalent emissions and energy consumption values under different weather conditions are also detailed, providing a more realistic view of the vehicle's performance.
In terms of design and structure, the API provides full dimensions, gross weight, load capacity, trunk and front trunk volume, number of seats, and chassis characteristics. Data on the body, the segment to which the vehicle belongs, and the platform on which it is built are also included.
Thanks to this level of detail, the Get Electric Vehicle Statistics API is ideal for integration into vehicle comparison applications, sustainable mobility platforms, market research, energy efficiency projects, or educational tools focused on the transition to electric transportation. By centralizing key information about electric vehicles in a clear and accessible format, the API facilitates analysis, encourages innovation, and helps raise awareness of the mobility solutions that are leading the future of transportation.
Retrieve detailed electric vehicle specifications including battery, charging, performance, dimensions, energy efficiency, and range data to support analysis and applications.
Get Vehicle - Endpoint Features
| Object | Description |
|---|---|
make |
[Required] Vehicle manufacturer (e.g., Tesla or Nissan). |
model |
Optional Vehicle model (e.g., Model 3 or Leaf). |
min_year |
Optional Minimum vehicle model year (e.g. 2020). |
max_year |
Optional Maximum year of the vehicle model (for example, 2023). |
min_range |
Optional Minimum range in kilometers (e.g., 250). |
max_range |
Optional Maximum range in kilometers (e.g., 400). |
limit |
Optional How many results should be returned. Must be between 1 and 10. The default value is 1. |
offset |
Optional Number of results to skip. Used for pagination. Default is 0. |
[{"make": "Tesla", "model": "Model S 85D", "year_start": "2015", "battery_capacity": "85.0 kWh", "battery_type": "Lithium-ion", "battery_number_of_cells": "No Data", "battery_architecture": "400 V", "battery_useable_capacity": "80.8 kWh", "battery_cathode_material": "No Data", "battery_pack_configuration": "No Data", "battery_voltage": "No Data", "battery_form_factor": "No Data", "battery_name": "No Data", "charge_port": "Supercharger", "charge_port_location": "Left Side - Rear", "charge_power": "11 kW AC", "charge_speed": "460 km/h", "charge_power_max": "120 kW DC", "charge_power_10p_80p": "95 kW DC", "autocharge_supported": "No", "plug_charge_supported": "No", "supported_charging_protocol": "-", "preconditioning_possible": "Yes", "acceleration_0_100_kmh": "4.4 sec", "top_speed": "250 km/h", "electric_range": "420 km", "total_power": "311 kW (423 PS)", "total_torque": "660 Nm", "drive": "AWD", "vehicle_consumption": "153 Wh/km", "co2_emissions": "0 g/km", "vehicle_fuel_equivalent": "1.7 l/100km", "rated_consumption": "No Data", "rated_fuel_equivalent": "No Data", "length": "4970 mm", "width": "1964 mm", "width_with_mirrors": "No Data", "height": "1445 mm", "wheelbase": "2960 mm", "gross_vehicle_weight": "2640 kg", "max_payload": "531 kg", "cargo_volume": "895 L", "cargo_volume_frunk": "No Data", "seats": "5 people", "turning_circle": "12.4 m", "platform": "TESLA S/X", "car_body": "Liftback Sedan", "segment": "F - Luxury"}]
curl --location --request GET 'https://zylalabs.com/api/10546/get+electric+vehicle+statistics+api/20106/get+vehicle?make=Tesla' --header 'Authorization: Bearer YOUR_API_KEY'
| Header | Description |
|---|---|
Authorization
|
[Required] Should be Bearer access_key. See "Your API Access Key" above when you are subscribed. |
No long-term commitment. Upgrade, downgrade, or cancel anytime. Free Trial includes up to 50 requests.
The Get Vehicle endpoint returns detailed specifications for electric vehicles, including battery information, charging details, performance metrics, dimensions, energy efficiency, and range data. This comprehensive dataset supports various analytical applications.
Key fields in the response include make, model, year_start, battery_capacity, charge_power, acceleration_0_100_kmh, electric_range, total_power, and co2_emissions. These fields provide essential insights into vehicle specifications and performance.
The response data is structured as a JSON array of objects, where each object represents a specific vehicle. Each object contains key-value pairs for various attributes, making it easy to parse and utilize in applications.
The endpoint provides information on battery specifications, charging systems, performance metrics, vehicle dimensions, energy consumption, and CO2 emissions. This breadth of data supports comprehensive analysis of electric vehicles.
Users can customize their requests by specifying parameters such as make, model, or year to filter results. This allows for targeted queries to retrieve specific vehicle data relevant to their needs.
The data is sourced from manufacturer specifications, industry reports, and verified databases. This multi-source approach helps ensure the accuracy and reliability of the information provided.
Typical use cases include vehicle comparison applications, market research, energy efficiency projects, and educational tools focused on electric transportation. The data aids in informed decision-making and analysis.
Users can leverage the returned data to compare vehicle specifications, analyze performance metrics, and assess energy efficiency. By integrating this data into applications, users can enhance user experiences and drive informed choices in electric vehicle adoption.
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