Thousands of companies — from tech giants like Google, YouTube, and Twitter to startups — owe their business growth to application program interfaces or APIs. Acting as middlemen between machines, APIs make a variety of web products accessible to millions of customers across the World Wide Web.
Similar to waiters who take orders and bring drinks and food in a restaurant, APIs accept requests from apps and return desired data or functionality. More often than not, they do their job in REST style. This article outlines what REST is, why it is so widespread, and what makes an API truly RESTful.
What is REST API and how does it work
REST is short for Representational State Transfer, an architectural style for building web services that interact via an HTTP protocol. Its principles were formulated in 2000 by computer scientist Roy Fielding and gained popularity as a scalable and flexible alternative to older methods of machine-to-machine communication. It still remains the gold standard for public APIs.
A REST client can interact with each resource by sending an HTTP request
REST API concepts
The key elements of the REST API paradigm are
- a client or software that runs on a user’s computer or smartphone and initiates communication;
- a server that offers an API as a means of access to its data or features; and
- a resource, which is any piece of content that the server can provide to the client (for example, a video or a text file).
To get access to a resource, the client sends an HTTP request. In return, the server generates an HTTP response with encoded data on the resource. Both types of REST messages are self-descriptive, meaning they contain information on how to interpret and process them.
REST API methods and request structure
Any REST request includes four essential parts: an HTTP method, an endpoint, headers, and a body.
An HTTP method describes what is to be done with a resource. There are four basic methods also named CRUD operations:
- POST to Create a resource,
- GET to Retrieve a resource,
- PUT to Update a resource, and
- DELETE to Delete a resource.
An endpoint contains a Uniform Resource Identifier (URI) indicating where and how to find the resource on the Internet. The most common type of URI is a Unique Resource Location (URL), serving as a complete web address.
Headers store information relevant to both the client and server. Mainly, headers provide authentication data — such as an API key, the name or IP address of the computer where the server is installed, and the information about the response format.
A body is used to convey additional information to the server. For instance, it may be a piece of data you want to add or replace.
REST request for creating a new user where the response will return the ID of the created resource. Source: Tableau API
REST response structure
In response, the server sends not the sought-for resource itself, but its representation — a machine-readable description of its current state. The same resource can be represented in different formats, but the most popular ones are XML and JSON.
Whenever relevant, a server includes in the response hyperlinks or hypermedia that links to other related resources. This way, the server gives instructions on what the client can do next and what further requests it can make.
An example of a self-descriptive server response with hypermedia. Source: Lauren Long
REST best practices: what makes an API RESTful
REST isn’t linked to any particular technology or platform. Nor does it dictate exactly how to build an API. Instead, it introduces best practices known as constraints. They describe how the server processes requests and responds to them. Operating within these constraints, the system gains desirable properties.
Client-server autonomy
Properties gained: modifiability, better system reliability
In the REST API system, the client and server work independently, using different tech stacks. The client doesn’t need to know anything about business logic, while the server has no idea about the user interface. The separation of responsibilities means that API providers and API consumers can be modified and it won’t backfire on their communication.
Uniform interface
Properties gained: ease of use, shared understanding
A uniform interface is a key attribute that distinguishes REST APIS from non-REST APIs. It dictates a standardized way to communicate with a given server, no matter the client app or device that runs it. We already mentioned some fundamentals supporting this practice, which are
- a unique identifier (URI) assigned to each resource,
- self-descriptive messages explaining how to interpret them and what to do next,
- the ability to manipulate a resource through its representation in JSON or XML, and
- hypermedia linking to related resources.
The server uses the same interface, no matter the client
A uniform interface helps developers easily grasp the logic of an API. Todd Main, Director of Software Development at Envysion admits being relieved if a partner company has chosen a REST approach: “I know that I can just browse a list of objects, which I am usually already familiar with, and see what properties I can get or supply.” Todd adds that code implementation with a RESTful API is also easy: “The objects passed around translate directly into data structures in my programming language.”
Layered architecture
Properties gained: improved system scalability and security
The RESTful system has a layered structure in which each layer works independently and interacts only with the layers directly connected to it. When calling a server, a client doesn’t know whether there are any intermediaries along the way.
Due to the layered architecture, you can place a proxy or load balancer between the client and server and thus improve scalability. Adding security as a separate layer enhances system safety. Although these services are involved in producing the response, the client doesn’t have to worry about what’s behind the interface.
Clients interact with the API layer reaching the server via a proxy
Caching
Properties gained: low server latency, increase in app speed and responsiveness
REST APIs allow clients to store frequently accessed data on their side instead of requesting them again and again. As a result, the app makes fewer calls, which reduces the load on the server and its latency. In turn, the application becomes more responsive and reliable.
Stateless interactions
Properties gained: enhanced performance, app reliability
The word stateless indicates that an API doesn’t store any information related to the previous sessions, treating each request independently. All data on the current client’s state is contained in the request body.
Being stateless, REST APIs don’t have to deal with the server-side state synchronization logic. Another advantage of session independence is that any server can process requests. This improves the performance of the application and reduces the risk of going down.
“Going stateless means fewer side effects,”Pál Váradi Nagy, a developer at Hanna Instruments, argues. “In FTP for example, we have an ongoing session with commands that modify the state of the session. This state can and sometimes will be lost. So, for REST it was a decision to go as pure as possible. Meaning that it relies on PURE functions that always return the same output when given the same input, and doesn't affect anything else.”
Code on Demand (CoD)
Properties gained: feature customization, extended functionality
Instead of sending back JSON representations, the server may return a piece of executable code on the client’s demand. The CoD practice gives the client more control over the features and allows for extended functionality.
REST API principles: priority of business needs
Property gained: flexibility
Still, REST is about flexibility. Implementing REST architecture, developers can deviate from, extend, or cover only partially its standard set of constraints. Take so a fundamental constraint as stateless interactions. You may ignore it and keep your application stateful for those sessions that need to be stored server-side.
That’s why you can hear people say that practically no REST APIs actually follow Fielding’s work.
“For me, some of the constraints (stuff like client-server architecture, or statelessness) are just good but pretty standard application design, and others are stuff I'd avoid like the plague!” says Garry Taylor, a Senior Software Developer and technical consultant. In particular, Garry speaks of code on demand as a bad idea: “The security implications are awful, plus the server must make assumptions about the nature of the client and its ability to execute whatever code is passed.”
REST API examples
REST API concepts and principles may feel like something abstract — until you try working with them. Below, we give examples of real-life APIs that will help make sense of the RESTful approach and understand how to write API documentation.
Trello API
A widely-used project management tool provides a simple API that makes you quickly understand REST resources and HTTP methods applied to them.
The first thing Trello’s API introduction offers to do is make a GET request to their most fundamental resource — Boards.
GET a Board message using cURL — a client-side program to make an HTTP request for the given URL
This makes you better understand how to manipulate other basic resources — such as Lists, Cards, and Actions, using methods applicable to them. For example, there are two types of POST requests available for Cards:
POST /1/cards/[card id or shortlink]/actions/comments means “Add a comment to a Card
POST /1/cards/[card id or shortlink]/actions/idMembers means “Add a member to a Card”
The full list of resources contains 18 objects accessible via the API. Each comes with a detailed description that includes parameters for all request types and query examples.
Stripe API
One of the most popular online payment solutions boasts perhaps the best API documentation you can find on the Internet. Stripe has a dedicated team that writes exhaustive guides with code snippets and examples of API requests and responses for every single resource. “Our philosophy is to gear documentation towards how to use an API, rather than how it’s built,” Cristina Cordova, the ex-Head of Payments and Platform Partnerships at Stripe, explained.
A Stripe Rest API request and response for a balance transaction
To begin with, there is a step-by-step Development quickstart guide. Engineers who like to learn by example can take advantage of Stripe Samples enabling anybody to run some working code straight off the reel.
Twilio API
Twilio is an API-driven platform to integrate voice and video calls along with SMS, MMS, and other messages into web and mobile apps. To encourage developers of any level to create communication tools with Twilio, the company comes up with comprehensive REST API best practices. Moreover, before getting started, beginners may read a brief explanation on “What’s a REST API, anyway?”
Twilio provides a free trial account to try and test API integrations. To make things even more convenient, the step-by-step guides are supported with code snippets.
Text explanation on how to send SMS is illustrated with examples of an API request and JSON API response
Jira REST API
Jira is one of the most popular tools among project managers used by over 65,000 teams worldwide. Its REST API enables companies to interact with the instrument programmatically, integrating its functionality into enterprise software or other apps, building add-ons, or automating interactions with Jira. There is a comprehensive guideline on available resources and how to access them via the API.
A Jira REST API response for creating a new scrum board
Power BI REST API
According to Gartner, Microsoft Power BI has been leading the pack in analytics and business intelligence for five years in a row. This self-service platform is the number one choice for data analysts, BI developers, and decision-makers across all industries. The suite of Power BI REST APIs makes it possible for all types of clients to add interactive data visualizations, dashboards, and reports directly into their existing applications.
Before going any further, Microsoft enables customers to explore features available via APIs. It also provides a developer sandbox with a code editor and sample data. You can find the documentation on how to use the Power BI REST API here. And if you’re not sure whether this tool meets your requirements read our article on Power BI Pros and Cons.
REST compared to other API paradigms
A direct comparison among approaches to building APIs is debatable. That's why we chose we chose to review the key features that make REST stand out against command-oriented Remote Procedure Calls (RPC), standardized SOAP, and schema-based GraphQL.
Four major API paradigms compared
REST vs RPC
RPC has been around for a long time and can be fairly considered the core of REST. Pál Váradi Nagy sees REST as “a restricted subset semantics of what has already been going on at large — Remote Procedure Calls.”
The procedure part in RPC is performing a function on input and returning an output. So, RPC goes easy on the network resulting in high performance. That’s why it’s a preferred option for massive microservices systems to facilitate short and clear internal communication. RPC is also a good fit for IoT applications, especially low-powered ones.
The latest RPC version is gRPC. Using binary data instead of text, its communication is more compact and efficient than with REST. gRPC is also type-safe, meaning that it will send over only the expected data type.
However, gRPC requires setting up a client — incorporating gRPC-generated code into the client processes. It’s cumbersome for dynamic languages (e.g., JavaScript, Python) where the build process may be non-existent. REST doesn’t need that. API calls can be made even by simply typing URLs into a browser. That’s very convenient for testing an API, as its basic functionality can be tested using only a browser.
In addition, REST allows for better abstraction than RPC. Following RESTful constraints, you decouple the client and the server as much as possible. The RESTful connection doesn't rely on a preexisting state, while there is no such requirement in RPC. When REST says “Do this, and then let's forget about each other,” RPC may say “Do this, then do that,” which will depend on the output of the previous action.
Read our article on What is gRPC to learn more.
REST vs SOAP
According to Cloud Elements' 2017 State of API Integration report, APIs using REST number 83 percent versus 15 percent of those using SOAP. And that just proves that SOAP isn’t dead yet.
Rob James, who’s been in software development since the 80s, points out that despite its shortcomings, SOAP has some important advantages: “Encapsulation is easier than the more common REST/JSON solutions. Web Service Description Language (or WSDL for short, in which the SOAP API logic is written) gives up more information than a typical JSON object provides.”
Integrated with the WS-Security protocols, SOAP API transmits messages with a high level of privacy and integrity. That’s why it remains the best option for financial services, payment gateways (PayPal public API), CRM software, identity management, and telecommunication services.
Still, Rob James admits that his goto is REST because SOAP isn’t easily altered and can be almost impossible to work around: “I've come across instances where a WSDL cannot be resolved with generic tools because it was generated with a specific tool and vendor-specific tags.”
SOAP was largely based on the first version of RPC — XML. So, the biggest pro of REST over XML-bound SOAP is its multiple formats support.
Read our article on What is SOAP to learn more.
REST vs GraphQL
To get information for their request, REST API clients have to mix and match multiple endpoints. This snowballs into another problem — data over-fetching, which means that the response contains unnecessary information. This can slow the request processing.
GraphQL showed up in 2015 with a new philosophy of customizing endpoints. A GraphQL API starts with defining a schema that describes how data is structured on the server. Having this schema, a client understands how to formulate a single query and get a precise response.
Mobile devices are unreliable networks. So when a RESTful API must make multiple requests, the chances of failure are much higher. That’s why GraphQL’s efficient querying is very relevant for mobile APIs.
Read our article on GraphQL to learn more.
For a more consistent overview of the four major API paradigms, go to our dedicated article. You can also watch our video if you prefer more interactive content.
