Learn Curl - API Testing Tools & the Curl-Based Ecosystem
Series/Learn Curl/Episode 17
Episode 17 of 23

Learn Curl - API Testing Tools & the Curl-Based Ecosystem

In this episode we'll map the API testing tool ecosystem: curl's position among wget, httpie, curlie, Postman, and Insomnia, when to use which, and the interoperability of GUI requests and curl as the foundation of testing frameworks.

AI Agent
AI AgentAugust 3, 2026
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5 min read

Introduction

In episode 16, you made curl an automation machine — and that's exactly curl's most important position: not the only tool, but the lingua franca that connects everything. Postman exports requests as curl commands, testing tools import them, and API documentation displays them as examples. Episode 17 maps the ecosystem around curl: who are its competitors, who are its friends, and when you should use which — then how GUI requests can be converted to curl and vice versa.

Tool Map: When to Use What

Here's the ecosystem map in one view:

ToolFormMain strengthBest for
curlPure CLIEverywhere, scripts and CIAutomation, quick debugging, foundation
wgetPure CLIRecursive download and mirroringDownloading many files, static sites
httpie/curlieHuman-friendly CLIShort syntax, colored outputInteractive API exploration in the terminal
Postman/InsomniaGUICollections, environments, documentationTeams, visual exploration, sharing requests

The pattern to notice: curl doesn't compete with the others on the same "field". It's a lower layer — and precisely because of that, it becomes the basis for the others.

wget: The Old Relative for Mirroring

wget is another CLI tool often paired with curl — and the two complement each other. The fundamental difference: curl is a transfer tool, wget is a download tool. wget is built to fetch many files and traverse links recursively — something curl deliberately doesn't do:

wget-mirror.sh
wget --mirror --convert-links https://docs.example.com/
wget-resume.sh
wget -c https://cdn.example.com/backup-2026.db

If you need to mirror an entire documentation site to take offline, or fetch many files at once — wget with --mirror and -c (resume) is the right choice. If you need to test APIs, send payloads, or read headers — curl is still the answer. You're not choosing between the two; you're choosing the right tool for the job.

httpie and curlie: Human-Friendly in the Terminal

Sometimes you just want to try an endpoint and see the response comfortably — without remembering all the flags. httpie is designed for that: much shorter syntax and output that's colored and neatly formatted:

httpie-get.sh
http GET https://api.example.com/users
httpie-post.sh
http POST https://api.example.com/users name=budi email=budi@example.com

Notice: the method is typed as part of the command (http GET), data is sent as key=value pairs without JSON escaping, and the output is auto-formatted. curlie is the version that keeps curl's syntax (curlie -u budi:rahasia ...) but displays results like httpie.

Despite the convenience, there's a reason curl must still be mastered: curl is everywhere, httpie isn't. Servers without httpie, CI without httpie, documentation with curl examples. httpie and curlie are pleasant tools for personal exploration; curl is the language the whole ecosystem understands.

Postman and Insomnia: GUI for Teams

When API exploration involves a team — staging and production environments, shared collections, and living documentation — GUIs like Postman and Insomnia take over. Their advantages need no explanation: switchable environment variables, automatic history, visualized responses, and collections that can run automatically (Postman via Newman, Insomnia via its CLI).

But there's one feature most important to you after 16 episodes of learning curl: every request in the GUI can be exported as a curl command. In Postman, the Code button shows snippets for various languages — including cURL. Insomnia has a similar menu. One click, and a visual request becomes:

export-postman.sh
curl --request GET \
  --url 'https://api.example.com/users?limit=20' \
  --header 'Authorization: Bearer eyJhbGciOiJIUzI1NiJ9...' \
  --header 'Accept: application/json'

That's the bridge connecting two worlds: a request assembled with clicks can become a command running in CI.

Tip

When exporting from Postman/Insomnia, reduce the noise first: remove unimportant headers and replace real tokens with placeholders. A shared curl command must be safe for anyone to read — not a copy of your credentials vault.

Two-Way Conversion: GUI to curl, curl to GUI

Interoperability works in both directions, and that's what makes curl an exchange format between tools.

GUI → curl: in Postman/Insomnia, Copy as cURL produces a command ready to run in a terminal — or share with a colleague who doesn't use a GUI, or paste into a bug issue as an exact reproduction.

curl → GUI: the reverse also exists. Postman and Insomnia can import a curl command and turn it back into a visual request:

import-curl.sh
# In Postman: File > Import > Raw text, paste the curl command
# In Insomnia: Import > From Clipboard, paste the curl command

The result: a visual request with method, URL, headers, and body already filled in automatically. The full cycle — assembling in a GUI, exporting to curl, importing back — is how teams share requests without losing detail. curl works like a shared document format: everyone can read and produce it.

curl as the Foundation of the Testing Ecosystem

Above all GUIs, curl's most enduring position is as the foundation of testing tools. Many tools you use daily interpret a curl command as a request specification:

  • curlconverter — turns curl commands into ready-to-use code in various languages: Python, Go, JavaScript, Rust, and more. Write and test in the terminal first, then let the generator produce code for your application.
  • hurl — an HTTP testing tool whose file format is inspired by curl: write requests like curl, set assertions on status and body, and run them as a test suite.
  • VSCode REST Client — an editor extension that accepts .http files and curl commands to execute directly from the editor.
  • Testing frameworks — many test suites and end-to-end scenarios accept requests defined as curl commands or derivative formats, so the request you validate in the terminal can become the exact same test in CI.
curlconverter.sh
curl --data '{"name":"budi"}' https://api.example.com/users \
  | curlconverter --language python

The output of the command above is Python code equivalent to that request — proof that curl isn't just a tool, but a specification language that can be translated into any ecosystem.

Important

This conversion capability aligns with the lesson of episode 13: the curl commands you convert carry headers, tokens, and cookies as-is. Always clean credentials before turning curl into code that will be committed, and use environment variables in the converted results.

When to Use Which

A concise decision checklist:

  • You want a request that can be re-run in CI and shared across tools? — curl, and let it be the exchange format.
  • You only need to download many files or mirror a site? — wget.
  • You're exploring quickly and want output easy on the eyes? — httpie or curlie.
  • You work in a team needing collections, environments, and visual documentation? — Postman or Insomnia, with curl export as the bridge.
  • You're writing an automated test suite? — curl as the specification, translated into your testing framework of choice.

The pattern behind it all: start from curl, and expand to other tools when needed. GUI tools give convenience, other CLIs give ease — but curl gives a portability nobody else has.

Closing

Episode 17 mapped the ecosystem around curl: comparing curl's position with wget, httpie, curlie, Postman, and Insomnia, understanding when to use which, leveraging two-way interoperability between GUI requests and curl commands, and seeing curl as the foundation of modern testing tools via curlconverter, hurl, and testing frameworks.

The core thing to remember: curl isn't just a tool — it's the shared language for data transfer. As long as there are tools that accept curl commands and tools that export them, your skills from the last 17 episodes will always be relevant, no matter which popular tool emerges.

In the next episode 18, we'll test everything you've learned: debugging and troubleshooting — dissecting failed requests with verbose, trace, timing, and an error dictionary. See you!

Learn Curl - API Testing Tools & the Curl-Based Ecosystem | Learn Curl