This article will tell you all about the best JSON APIs that are currently on the market. With these three amazing alternatives, there’s no doubt you will be able to enhance all your Data Science projects.
If you are eager to start implementing new strategies that will boost your company’s numbers and have started to apply actions under the wing of Data Science it is important to use APIs that work with a well-known and common programming language such as JSON. JavaScript Object Notation is one of the most common text-based formats. It represents structured data based on JavaScript object syntax. Don’t be confused, it may be a subpart of Javascript but it’s an independent language.
Therefore, thanks to the format and simplicity of JSON most Data Scientists work closely with it. With JSON you will be able to store and organize information. It has it all. Hence, JSON APIs will work perfectly with your Data Science projects. They will send you organized, simple, and structured data that will serve you well in all of your implementations. This being said. I recommend the following three:
Klazify
Klazify is one of the most accurate online data collection solutions for email, URL, and domain. Therefore, you can obtain any kind of details, sources, and statics you may want to have. Such as logos, codes, locations; really any type of elements that may come to your mind right now.
Klazify uses a machine learning (ML) engine to scan a website’s content and meta tags. It extracts text to classify the site and assigns up to three categories aided by natural language processing (NLP).
Twilio´s API
Twilio´s API allows you to transfer your programmatic skills to applications that have to do with texts and calls. You will be able to create apps that can text your users, or use their phones to communicate critical data. With Twilio you can manage and generate phone numbers programmatically.
Amazon Machine Learning
.Amazon Machine Learning API is great for customer awareness. You can predict customer conversion, purchasing habits, and lifetime value, based on the type and number of orders. Amazon’s API can also recognize human activity through sensor data and detect fraudulent users by analyzing web history.