Are you developing a fitness application and require access to a large database of exercises? You’re in luck since we’ll show you the top 5 exercise database APIs available in this article.
The secret to excellent health is exercise. It maintains your body strong and healthy, elevates your mood, aids in weight loss, and lowers your risk of contracting a number of ailments. However, finding time to exercise might be challenging. It may be even more challenging to fit in exercise if you are a busy professional who puts in long hours.
Thankfully, there are numerous ways to work out without getting up from your desk. An exercise data API might be exactly what you need if you’re looking for a way to mix up your weekday workout. These APIs can offer details on various workout types as well as advice on how to carry out the exercises properly.
Therefore, if you’re seeking for an API that will let you access a large database of exercises, you’ve come to the correct spot because we’ve rounded up the top five APIs available for you to try.
Exercise Database API
The exercise database contains more than 1300 workouts, each with its own exercise statistics and animated demonstrations. Depending on the body area you choose to target, this Fitness API will offer you access to activity data. It will also provide the equipment needed for such an exercise. Obtain an animated gif that shows you how to complete the exercise. When you filter by a body part or piece of equipment, you will get the target body part of an activity combined with an animated gif showing you how to accomplish it. You could create a fitness app that shows users how to use the Exercise Data API and provides them with access to data about their workouts.
Google Fit REST API
Google Fit is an open platform for storing fitness data from wearables or mobile applications. On the platform, developers may create fitness applications, and users can manage their fitness information. The platform comprises a sensor framework, an Android and REST API, authorisation controls, and a cloud service (the Fitness store) for data storage. Users can gather, store, and reference fitness data using the Google Fit REST API to develop third-party fitness applications. The API can be used to generate, get, list, aggregate, remove, and modify datasets. The API allows for the tracking of sessions over various time frames.
Apple HealthKit API
Apple’s HealthKit API allows the iOS Health app and other health and fitness apps to exchange data. Thanks to HealthKit, all of the health and fitness apps for iOS devices can be found in one location. Customers now have more control over their fitness and health thanks to this. Healthkit attempts to offer data for medical purposes while preserving the user’s privacy and control.
Garmin Health API
By utilizing the Garmin Health API, developers can leverage activity and health data from Garmin devices. It is intended to be used in applications for population health, workplace wellness, and patient monitoring. Information on body composition, heart rate, stress, intensity minutes, steps, sleep, calories, and other factors can be obtained using various techniques. Exercise activities including jogging, cycling, paddle boarding, swimming, and more are tracked across thirty different categories. User consent is required for data retrieval. Developers who have registered have access to the documentation.
Edamam Nutrition Analysis API
This API takes use of semantically structured data and natural language processing. Real-time entity extraction is carried out, together with relevant diet and health labels. Additionally, it categorizes food recipes according to meal and dish types. You can use it to obtain nutrition information for a particular food, including macro- and micronutrient lists, allergen information, and more.
