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Learn how to make API requests in R using the `httr` and `httr2` packages by converting Python code examples.
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This video is based on the question https://stackoverflow.com/q/77790054/ asked by the user 'Jorge Hernández' ( https://stackoverflow.com/u/14141475/ ) and on the answer https://stackoverflow.com/a/77790442/ provided by the user 'margusl' ( https://stackoverflow.com/u/646761/ ) at 'Stack Overflow' website. Thanks to these great users and Stackexchange community for their contributions.

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How to Convert Python http Requests to R Using httr and httr2

Working with APIs is an essential skill for data analysis and development. Python and R are two of the most popular programming languages used in data science, but they have different libraries for making HTTP requests. If you’re familiar with using Python's requests module but want to transition to R, you may find yourself asking: How can I make an equivalent HTTP request in R?

In this guide, we’ll explore a specific example of an API request made in Python and how to efficiently convert it to R using the httr and httr2 packages. We’ll break down both the problem and the solution step-by-step.

Understanding the Problem

Let's look at the Python code you have that successfully retrieves data from an API:

[[See Video to Reveal this Text or Code Snippet]]

You want to replicate this behavior in R but faced issues with your initial R implementation. Let’s understand what went wrong and how we can fix it.

Analyzing the R Equivalent Code

Here’s the R code that you attempted:

[[See Video to Reveal this Text or Code Snippet]]

What's Not Working?

Improper Placement of Data: The final JSON string you've created has an extra nested level which is unnecessary. The request should contain all data in the body argument.

Header Management: The headers are not added correctly. Instead of passing them as an argument, we should use the add_headers() function.

Providing the Solution

Let’s rewrite your R code to correctly replicate the Python request.

Solution Using httr

Here’s how you can modify your R code using the httr package:

[[See Video to Reveal this Text or Code Snippet]]

Solution Using httr2

If you prefer to work with the httr2 package, which offers a more modern approach to handling HTTP requests, here’s an alternative solution:

[[See Video to Reveal this Text or Code Snippet]]

Conclusion

Converting HTTP requests from Python to R may seem daunting at first, but by understanding the differences in libraries and syntax, it can be easily managed. The key takeaways include:

Ensure that your data structure matches what the API expects.

Properly handle headers using the appropriate functions in R.

Consider using httr2 for a more streamlined approach to making HTTP requests.

Now, you should be able to seamlessly transition your API calls from Python to R. Happy coding!