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Zoho API IntegrationNestJS and Node.js backend development
APIs, integrations, webhooks and background jobs in TypeScript - documented, tested, and built for the day a third-party API stops answering.
REST APIs, webhooks and background jobs built in NestJS and TypeScript.
A backend is the part of your software that holds the rules: who may do what, where data is stored, and what happens when another system sends or asks for something. We build them in NestJS, a TypeScript framework for Node.js, with PostgreSQL underneath by default and MySQL or MongoDB when the data calls for them.
NestJS gives every project the same shape - modules, controllers, services, validation and generated API documentation - so the code is predictable for whoever maintains it next, including your own developers. We use it for APIs behind web and mobile apps, integration services between Zoho and the rest of your stack, webhook receivers, and the background jobs that keep data moving.
The difference between a backend that works in a demo and one that works in production is mostly in the unglamorous parts: input validation, retries that do not duplicate work, logs you can search, and alerts that reach a person when something fails. That is where we spend the time.
What's included
- REST APIs for web & mobile apps
- Integration services & middleware
- Verified webhook receivers
- Background jobs, queues & scheduled tasks
- OpenAPI (Swagger) documentation
- Authentication, roles & API keys
- PostgreSQL with Prisma, plus MySQL & MongoDB
- Express-to-NestJS refactoring & takeovers
What we build with NestJS and Node.js
Most backends we build do one of four jobs, and plenty do several at once.
APIs for your applications
REST endpoints - or GraphQL, where a front end genuinely benefits - behind web apps, mobile apps and customer portals, with authentication, validation and pagination handled the same way everywhere.
Integration middleware
A service between Zoho and your ERP, payment gateway, accounting or logistics platform, doing the mapping, volume and orchestration that is too heavy for scripts inside any one of them.
Webhook receivers
Endpoints that accept events from Zoho, Stripe, shipping providers and the like, verify that each one is genuine, acknowledge it quickly and do the real work in the background.
Background jobs and scheduled work
Imports, exports, nightly syncs, report generation and anything else too slow to run while a user waits, on a queue that retries failures instead of losing them.
Why NestJS over bare Express, and when less is enough
Express is a minimal web framework: routing and middleware, with every other decision left to you. That freedom is fine in a small service and costly in a large one, because every developer makes those decisions differently. NestJS runs on Express - or Fastify - and makes the decisions once.
One structure for every project
Modules, controllers and services sit in the same places every time, so a developer who knows NestJS can find their way around a codebase they have never seen.
Testable by design
Dependency injection lets a Zoho client or payment gateway be swapped for a fake in tests, so business rules are tested without calling real systems.
Validation and docs built in
Incoming data is checked against typed definitions before it reaches your logic, and the same definitions generate the OpenAPI documentation.
When less is enough
A single webhook or a small scheduled task does not need a framework. A serverless function or a few lines of Express is cheaper to build and run, and NestJS's longer start-up time can count against it there.
API design and OpenAPI documentation
An API is a promise to every client that uses it, so we design it before building it and document it from the code, not in a separate file that drifts out of date.
Contract first
Endpoints, request and response shapes and error cases are settled before implementation, so the front end is built against an agreed contract instead of a moving target.
Docs generated from the code
OpenAPI documentation comes from the same typed definitions the API validates against, with an interactive explorer your developers and partners can send test requests from. It stays in step because it is built from the code.
Typed clients
The same spec can generate a typed client for your front end, so a renamed field breaks the build instead of a customer's screen.
Consistent errors and versioning
Every endpoint reports errors in one format with a useful message, lists paginate the same way, and breaking changes go into a new version while existing clients keep working.
Reliable integrations: retries, idempotency and rate limits
Every third-party API fails sometimes - it times out, rate-limits you, or goes down for an hour. A reliable integration is designed around that, so a bad hour for someone else's system means a delay for you, not lost or duplicated data.
Retries with backoff
Timeouts and server errors are retried with growing gaps between attempts, so a struggling API is not hammered. Errors that will never succeed, such as invalid data, go to a person instead.
Idempotency
Webhooks can arrive more than once, and retries can repeat a request. Each event is recorded under a unique key, so a duplicate is recognized and skipped instead of creating a second invoice.
Dead-letter handling
Jobs that still fail after their retries move to a dead-letter queue with the payload and the error attached, raise an alert, and can be replayed once the cause is fixed.
Rate limits
Outgoing calls are throttled to stay inside each provider's limits - Zoho's included - and use bulk endpoints where they exist, so one busy day does not lock every other integration out of the account.
Security, testing and monitoring
These are the parts no demo shows and every production system needs.
Authentication and permissions
Users sign in with sessions or tokens from your identity provider; machine clients get scoped API keys that are stored hashed and can be revoked. Guards check roles on every route, and queries check that a record belongs to the caller.
Validation at the edge
Every request body, query and parameter is validated against a typed definition, with unknown fields stripped and per-client rate limits applied, so malformed or abusive traffic is rejected before it reaches your business logic.
Secrets kept out of code
Credentials live in environment variables or your cloud's secrets manager, never in the repository, with separate keys for staging and production and the narrowest OAuth scopes each integration needs.
Tests on every change
Unit tests for business rules and end-to-end tests against a real test database run automatically on every change, with third-party APIs replaced by fakes that can be told to fail.
Logs, health checks and alerts
Structured logs carry a request ID through every service and job, health endpoints tell your hosting when to restart a process, and alerts reach a person when errors or the dead-letter queue start to grow.
Taking over an existing Node.js codebase
Inherited backends are often in better shape than their owners fear, and occasionally worse. Either way, we start by finding out, not by rewriting.
An audit first
We run it locally, map its endpoints, jobs and data flows, and check its dependencies, Node.js version, secrets in the repository and how it is deployed. You get a written list of what is risky, what is slowing you down, and what is fine as it is.
Tests before changes
Before changing behavior we pin it down with tests around the parts that matter, so a refactor that alters what the system does is caught before deployment rather than by a customer.
Express to NestJS, one module at a time
NestJS can run on top of an existing Express app, so old routes keep serving traffic while we move them across in slices. JavaScript can become TypeScript the same way, file by file.
What you get out of it
Outcomes that matter to your business - not just features.
Predictable structure
Every module follows the same pattern, so a new developer can find their way around.
Documented from the code
OpenAPI docs are generated from the code itself, so they keep up as it changes.
Failures handled, not hidden
Retries, dead-letter queues and alerts instead of silently dropped data.
Runs where you choose
Your cloud account or servers and your credentials - in a container or on a plain VPS.
How we deliver this service
Map the flows
Every system involved, what each one sends and expects, and what must happen when one of them is down.
Agree the API contract
Endpoints, payloads and error responses written down first, so front-end and integration work can start in parallel.
Build with tests
Each module ships with tests for its business rules, and integration tests run against a real test database.
Harden for production
Retries, rate limits, structured logs, health checks and alerts - in place before launch, not after the first incident.
Deploy and hand over
Repeatable deployments into your cloud account, a runbook for common failures, and a walkthrough for your developers.
You might also need
NestJS & Node.js - FAQs
The questions we are asked most about NestJS & Node.js.
Ready to start? Let's scope it.
Book a free discovery call and we'll map out exactly how this can work for your business.