What are the 5 API methods?

What are the 5 API methods? CRUD explained

what are the 5 api methods defines the core actions a REST API uses to handle data between clients and servers. Understanding these methods clarifies how applications retrieve, create, modify, and remove resources. Learning their roles improves API design, integration accuracy, and overall system communication.

What are the 5 API methods?

The five primary API methods - GET, POST, PUT, PATCH, and DELETE - represent the fundamental verbs used to communicate with a web server in a RESTful architecture. While the answer might seem like a simple list, understanding how they differ is the key to building reliable and scalable applications.

Rarely does a beginner understand the difference between put and patch on the first try. I certainly did not. When I first started building web services, I found the terminology incredibly dense. But once you realize these methods are just a way to map basic data operations to the web, everything clicks. There is one technical property called idempotency that sounds like academic jargon but is actually the difference between a stable app and a double-charged credit card. I will break that down in the update section below.

The Dominance of RESTful Methods in Modern Web Development

REST remains the dominant architectural style for web services, used by approximately 93% of public and private APIs in 2026.^[1] This dominance stems from its simplicity and the universal adoption of these five methods, which align perfectly with the crud operations in rest api used in databases.

In my experience, following these standards leads to much cleaner code. Studies of development workflows indicate that error rates drop significantly when teams strictly follow RESTful conventions rather than making up their own custom endpoints.^[2] It is about speaking a common language. When you see a GET request, you know exactly what it is supposed to do. No surprises.

GET: The Read-Only Workhorse

The GET method is used to retrieve data from a server and is considered a safe and idempotent operation. It should never modify the state of the resource it is accessing; its only job is to fetch a representation of the data, such as a user profile or a list of products.

GET requests are the most frequent interactions on the internet. Typically, GET requests account for 45% of all API traffic in high-traffic applications. ^[3] They are designed to be cached, which significantly improves performance and reduces server load. I used to think of GET as the only method that mattered - mostly because it is the only one you can test by just typing a URL into a browser address bar.

POST: Creating New Resources

POST is used to send data to a server to create a new resource, such as submitting a registration form or adding a new comment to a thread. Unlike GET, POST is neither safe nor idempotent, meaning multiple identical requests will likely result in multiple new resources being created.

It is the builder. Because POST can carry a heavy payload in the request body, it is the standard for complex data submissions. In my early days, I was afraid of POST because it felt heavy compared to GET. But once I realized that 53% of modern web interactions involve some form of data submission through POST,^[4] I learned to embrace it. It is essential for anything that changes the server state from nothing to something.

PUT vs. PATCH: The Update Dilemma

PUT and PATCH are both used to update existing data, but they differ in how much data you must send. PUT is for full replacements - you send the entire resource back to the server - while PATCH is for partial updates where you only send the fields you want to change.

Here is the kicker: restful api methods explained often highlight how PATCH can reduce data transfer significantly compared to PUT, especially when dealing with large objects^[5] (and trust me, I have seen some messy databases). Remember that idempotency thing I mentioned? PUT is idempotent, meaning if you send the same full update twice, the result is the same. PATCH is technically not always idempotent, though many developers implement it that way for safety. You should use PUT - well, actually, PATCH is usually better for small updates to avoid unnecessary bandwidth waste.

DELETE: Removing Resources Safely

The DELETE method does exactly what it says: it removes a specific resource from the server. Like PUT and GET, it is idempotent, because once a resource is deleted, calling DELETE again will not change anything - the resource is already gone.

Wait for it - do not forget soft deletes. In production environments, many applications do not actually wipe data from the disk when a DELETE request arrives.^[6] Instead, they mark it as deleted in the database. This allows for data recovery while still providing a clean interface for the API consumer. I learned this the hard way after accidentally deleting a whole table of test data that I thought I could just 'undo'. Spoilers: I could not.

Quick Reference: HTTP Method Characteristics

GET

• Yes - multiple calls produce the same result
• Yes - does not modify server state
• Retrieve / Read data

POST

• No - multiple calls create multiple resources
• No - modifies server state
• Create new resource

PUT

• Yes - replacing with the same data results in the same state
• No - modifies server state
• Update / Replace entire resource

PATCH

• No (Usually) - can have side effects if not carefully handled
• No - modifies server state
• Partial update of resource

DELETE

• Yes - deleting twice results in the same outcome (gone)
• No - modifies server state
• Remove resource

The Duplicate Charge Nightmare

Alex, a junior dev at a fintech startup in New York, noticed that some users were being double-charged for subscriptions. The team was panicked as support tickets flooded in and the 'cancel' button was the only thing being clicked.

Alex realized the 'Pay' button was using a POST request without any unique transaction ID. When users on slow mobile connections double-tapped the button, the server created two separate transactions. Result: The database showed two payments for one user.

The breakthrough came when Alex suggested using an Idempotency Key in the header. Even if the POST request was sent twice, the server would recognize the key and only process the payment once. It was a classic case of understanding method limitations.

After implementing the fix, duplicate charges dropped to zero within 24 hours. Alex learned that POST requires extra care to prevent accidental duplication, saving the company $5,000 in refund processing fees that month.

Minh's Bandwidth Breakthrough

Minh, a developer in Ho Chi Minh City, was building a profile update page for a social app. Users complained that updating just their bio took forever on 3G networks. Minh was frustrated because the server logs showed massive data packets.

Minh was using PUT to update profiles, meaning the app sent the entire 500KB user object - including profile pictures and history - just to change one sentence of bio text. The first attempt to optimize only made the code more complex.

Minh switched the endpoint to use PATCH instead of PUT. Now, the app only sent the specific bio field, reducing the request payload size from 500KB to less than 1KB. The difference was night and day.

Profile update speeds improved by 90% for mobile users. Minh realized that PATCH is not just a 'nicer' way to code, but a vital tool for performance in regions with variable internet speeds.