How to Fetch data from an API with HTTPS Requests using the Nim Programming Language

We can use the Nim programming language to make HTTP client requests. Nim is a compiled and statically typed language, which helps with big data scraping tasks. Imagine running something like a web crawler to gather data for AI training.

We need to catalog the vast internet efficiently, and Nim's built-in HTTP client library makes this easier. First, we import the HTTP client and initialize a new client. Using a try-finally segment, we fetch data from a web page, like Google’s homepage.

After fetching, we print the data and close the client. This approach is straightforward and can be faster compared to Python. For large-scale web crawling, using asynchronous HTTP is better.

You'd import async dispatch and HTTP client, create an async proc, initialize a new async HTTP client, fetch data, and close the client. Then, execute using echo await async proc. Nim provides good performance whether you use blocking or asynchronous methods.

Let’s walk through fetching data from a website. We write and compile our Nim code, then run it to see the output. The fetched data from Google’s homepage will appear as HTML and JavaScript, showing how websites bundle resources for quick loading.

After setting up, you can compile and run your program to fetch or post data securely.