REST API
Architectural style for web interfaces that uses standard HTTP methods (GET, POST, PUT, DELETE) to exchange data between systems.
REST APIs are the backbone of modern software architecture. Every time you open a weather app, place an order or log in with Google, REST APIs are at work. They let different systems exchange data and are the basis for microservices, mobile apps and single-page applications.
What is REST API?
REST (Representational State Transfer) is an architectural style for distributed systems defined by Roy Fielding in 2000. A REST API (RESTful API) uses HTTP as the transport and offers a standard way to access resources. Each resource (e.g. user, order, product) has a unique URL. HTTP methods define operations: GET (read), POST (create), PUT/PATCH (update), DELETE (delete). REST principles include statelessness (each request carries all needed information), client–server separation, cacheability and a uniform interface. Data is usually exchanged as JSON.
How does REST API work?
A client (browser, app, another service) sends an HTTP request to a server endpoint (e.g. GET /api/users/42). The server handles the request, accesses the database and returns an HTTP response with a status code (200 OK, 404 Not Found, 500 Internal Server Error) and data in JSON. Authentication uses API keys, OAuth 2.0 or JWT. Rate limiting protects the API from overload. API documentation (OpenAPI/Swagger) describes endpoints, parameters and response formats.
Practical Examples
E-commerce integration: A shop uses the Stripe REST API to process payments, create refunds and manage subscriptions. Each operation is an HTTP request to a defined endpoint.
Mobile app backend: A fitness app sends workout data via POST, fetches stats via GET and updates the profile via PUT.
Third-party integration: A CRM syncs customer data with ERP, accounting and email marketing via REST APIs.
Public API: A transport company offers a REST API for timetables so third-party apps can query and book.
Microservice communication: In a microservices architecture, services talk to each other via internal REST APIs.
Typical Use Cases
Backend for mobile apps: REST APIs supply data to iOS and Android apps
System integration: Connecting ERP, CRM, shop and accounting via APIs
Single-page applications: React and Vue frontends consume REST APIs for dynamic content
Public APIs: Exposing services and data to external developers and partners
Microservices: Communication between independently deployed services
Advantages and Disadvantages
Advantages
- Standard: HTTP and JSON are widely supported and easy to implement
- Platform-independent: Any language and device can use REST APIs
- Scalable: Statelessness allows horizontal scaling and load balancing
- Cacheable: HTTP caching reduces server load and improves response times
- Documentation: OpenAPI/Swagger enables automatic docs and code generation
Disadvantages
- Over- and under-fetching: Endpoints often return too much or too little data (GraphQL addresses this)
- No real time: REST is request–response; for real time you need WebSockets or SSE
- Versioning: API changes can break clients and need careful versioning
- Multiple requests: Complex queries often need several API calls, increasing latency
Frequently Asked Questions about REST API
REST or GraphQL – which is better?
How do you secure a REST API?
What is the difference between REST and SOAP?
Related Terms
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