API documentation for mobile apps

API documentation for mobile apps

Your mobile team shipped a feature. Backend engineers deployed new endpoints. A week later, you discover there's no documentation—or it's three sprints out of date. This is a familiar scenario. We've encountered it dozens of times. That's exactly where our turnkey API documentation service starts. Every request must be transparent; the contract between frontend and backend must not break.

How API documentation accelerates mobile app development?

Clear API documentation is more than a list of URLs. For a mobile developer, it means: no need to ping the backend engineer every time a question like "what happens if the user is not authenticated?" arises; no need to re-learn endpoints when switching sprints; the ability to generate a type-safe client and forget about runtime errors. According to our data, good documentation cuts onboarding time by 40%—a new developer starts committing faster. The savings in communication and bugs pay for the effort within 2–3 months. Over three years, we have documented APIs for more than 20 mobile apps—ranging from fitness trackers to banking services.

What exactly do we document?

API documentation is not just a list of URLs. For a mobile app, it is critical to describe:

• All endpoints with methods, headers, parameters, and example request/response bodies.
• Authorization schemes: Bearer token, OAuth 2.0, API Key—with header examples.
• Error codes and their meaning: 401 Unauthorized vs 403 Forbidden—the distinction matters on the client for correct handling.
• Pagination: cursor-based or offset, which meta fields are returned (total, nextCursor).
• Versioning: /v1/, /v2/—what changed, what is deprecated, changelog.

How we document APIs in practice

For most projects we use a stack: generate OpenAPI 3.x specification from code annotations (e.g., on Laravel—L5-Swagger, on NestJS—@ApiOperation decorators), then render via Stoplight Elements or Redoc as a static site or embedded in a dev portal.

If the API exists but documentation does not, we perform reverse engineering: intercept traffic via Charles Proxy or mitmproxy, collect real requests from the mobile app, and reconstruct the structure. For iOS projects on SwiftUI, we additionally document asynchronous calls with async/await; for Android, Flow and Retrofit.

For React Native, it is especially valuable to document types in TypeScript interfaces, which we then synchronize with the OpenAPI schema via openapi-typescript. This provides a type-safe client without manually writing types.

Example: Generating OpenAPI from Laravel

Install L5-Swagger in Laravel, configure annotations in controllers, automatically export the JSON specification on every deployment. On the CI pipeline, we check that the spec is up-to-date; if it isn't, the pipeline fails.

Tools: feature comparison

Typical documentation errors and how to avoid them

Why contract testing is essential for every mobile project

Contract testing verifies that the actual backend response matches the documentation. We automate it via the OpenAPI schema: jest-openapi or pact.io. Testers see all edge cases, QA writes automated tests that catch regressions before they reach a build. The result: fewer bugs in production and calm releases. According to our statistics, implementing contract testing reduces critical bugs by 25%.

Our process

1. Analysis — study the current API, create an endpoint mapping.
2. Specification design — build the OpenAPI schema, align with the backend team.
3. Implementation — render documentation, generate type-safe client (if needed).
4. Testing — contract tests, check completeness.
5. Deployment — publish on a dev portal or in the repository.

What is included

• Full OpenAPI 3.x specification (YAML/JSON)
• Rendered documentation (Redoc / Stoplight) with hosting
• Coverage checklist: all endpoints, schemas, errors, authorization, pagination
• TypeScript types for React Native (optional)
• Postman collection for manual testing
• Team training: one 30-minute webinar + knowledge base
• One month of support after delivery: revisions based on feedback

Timeline and estimation

The timeline depends on the API size and stability. Small project (20–40 endpoints): 3–5 days. Large service with complex schemas (100+ endpoints): up to 2–3 weeks with iterations. We guarantee the documentation will be up-to-date at delivery. We estimate your project in one hour—get in touch with us for a consultation.

Order API documentation for your mobile app—and your team will stop wasting time figuring out contracts. Get a free audit of your current API state.

How to Start Integrating API into a Mobile App?

The request goes out, the response doesn't come, timeout — 30 seconds. The user stares at the spinner. No network — mobile card in the subway. Or the network is there, but the server returns 200 with an HTML error page instead of JSON — and the app crashes on JSONDecoder.decode(). We see such cases on every second project. So integrating API into a mobile app is not just calling an endpoint, but designing a reliable network layer: error handling, caching, offline mode, certificate pinning. Order an audit of your current network layer — we will evaluate the project in 1 day. Our team guarantees a thorough analysis and provides a detailed roadmap.

Standard libraries like URLSession and OkHttp provide basic HTTP clients, but for production you need retries with exponential backoff, status code validation, typed deserialization, and network state monitoring. Without this, the app loses data and users. We have been doing mobile development for 5 years and implemented more than 30 projects with API integration on iOS, Android, and Flutter — from startups to enterprise solutions.

How to Choose a Protocol for API Integration?

REST remains the standard for most projects. But when a profile screen needs 5 fields out of 40, GraphQL eliminates over-fetching and reduces traffic by 30–60%. gRPC is justified for thousands of requests per minute (trading, IoT) — binary serialization is 3–5 times faster than JSON. WebSocket is the only choice for real-time without polling (messages, notifications).

Practical example: For a fintech app, we replaced REST (40 fields) with GraphQL — response size dropped from 12 KB to 2.5 KB, screen render time decreased by 70%. Traffic savings were significant. Our certified iOS and Android developers have deep experience with all these protocols — you can rely on proven solutions.

How to Ensure Reliable Connection and Offline-First?

Users lose network in the subway, elevator, tunnel. A mobile app must work without internet — at least in read-only mode. We implement the offline-first pattern:

1. On screen open, first show data from the local cache (Core Data / Room).
2. Simultaneously perform a network request, update UI after response.
3. If network is unavailable — show cached data and a 'no connection' label.
4. When network is restored, automatically synchronize changes.

For HTTP response caching we use URLCache (iOS) and OkHttp Cache (Android) with Cache-Control support. For structured data — SwiftData / Room. NWPathMonitor / ConnectivityManager.NetworkCallback monitor network state and trigger updates.

REST and Client Library Selection

Alamofire (iOS) — de facto standard for Swift projects. On top of URLSession it adds request chaining, response validation, automatic retry, certificate pinning via ServerTrustManager. AF.request() with .validate() returns an error for any status code outside 200–299. Without .validate(), Alamofire considers 404 and 500 as successful responses. With Swift Concurrency — async version via serializingDecodable.

Retrofit (Android) — annotation-based HTTP client on top of OkHttp. An interface with annotations compiles into implementation. @GET, @POST, @Path, @Query, @Body — declarative API description. OkHttp under the hood: connection pooling, transparent gzip, HTTP/2 multiplex. HttpLoggingInterceptor — logging in debug builds. Authenticator — automatic token refresh on 401.

Ktor (KMM/Flutter) — multiplatform HTTP client. On iOS it works via Darwin engine (URLSession), on Android — via OkHttp. Single code for both platforms with KMM architecture.

GraphQL: When REST Falls Short

REST returns a fixed structure. A profile screen needs name, avatar, email — the server sends 40 fields. Over-fetching. GraphQL solves this: the client requests exactly the needed fields. This is critical for mobile where traffic and parsing time are real constraints. Apollo iOS and Apollo Kotlin generate typed classes from schema: schema.graphql + query files → strict types at compile time. Subscriptions via WebSocket — real-time without polling. Limitation: GraphQL is harder to cache at the HTTP level. Apollo uses a normalized in-memory cache InMemoryNormalizedCache — requests with overlapping data update the cache without duplication.

WebSocket: Real-Time Without Extra Traffic

Polling (setInterval every 5 seconds) — battery and traffic waste. WebSocket is a persistent bidirectional connection. iOS: URLSessionWebSocketTask (native, iOS 13+). Android: OkHttp WebSocket. Mandatory reconnect handling: on onFailure — exponential backoff (1s → 2s → 4s → 8s → max 60s). Socket.IO is an overlay with automatic reconnect, but for new projects native WebSocket is preferable (fewer dependencies).

gRPC: For High-Load Services

gRPC with protobuf — binary serialization: smaller size, faster parsing. grpc-swift for iOS, grpc-kotlin for Android. The protobuf schema compiles to typed classes. Streaming (server-side, client-side, bidirectional) is a native feature. Application threshold: high request frequency (trading, IoT) or critical latency. For regular CRUD, REST is simpler to debug and monitor.

Certificate Pinning and Security

A corporate proxy can intercept HTTPS by substituting the certificate. Certificate pinning prevents this: the app accepts only a specific certificate or public key. Alamofire: ServerTrustManager with PinnedCertificatesTrustEvaluator. OkHttp: CertificatePinner with SHA-256 hash. Apple's App Transport Security documentation recommends pinning certificates for sensitive data. Operational complexity: on certificate rotation, older app versions stop working. Solution — pinning to the CA public key or support multiple pins with a grace period.

What Is Included in the Work

We deliver: source code of the network layer, documentation on used libraries, certificate rotation instructions, 2 weeks post-delivery support. Our experience guarantees that the solution will be stable and maintainable.

Timeline and Cost

Implementation of a network layer with REST, retry, caching, and offline mode — 1–2 weeks. Adding GraphQL or WebSocket — another 1–2 weeks. gRPC — 2–3 weeks, including code generation. The cost is calculated individually after analyzing the API and offline behavior requirements. We will evaluate the project in 1 day — contact us for a consultation. Get a reliable API integration with guaranteed quality.