How do I build a real CRUD API using FastAPI — with validation and clean structure?
FastAPI has exploded in popularity because:
✔ It’s fast (built on Starlette + Pydantic)
✔ Auto-docs with Swagger
✔ Type-safe
✔ Perfect for microservices & modern APIs
Let’s build a Users API with full CRUD.
📦 Step 1 — Install FastAPI & Uvicorn
Run server later with:
🏗 Step 2 — Create main.py
Run it — open:
Yes — you already get Swagger UI for free.
🧩 Step 3 — Create a User Model (Validation Included)
FastAPI uses Pydantic models for validation.
We’ll use an in-memory list (like a fake DB first):
➕ Step 4 — Create User (POST)
Now when you send JSON:
FastAPI will:
✔ Validate email
✔ Validate types
✔ Auto-document everything
📖 Step 5 — Get All Users (GET)
🔍 Step 6 — Get User by ID
Clean, readable, predictable.
✏️ Step 7 — Update User (PUT)
❌ Step 8 — Delete User (DELETE)
You now have a complete CRUD API.
🔥 Bonus — Partial Update (PATCH)
Sometimes you only want to update one field.
🧠 Common Problems & Fixes
❌ Pydantic Validation Errors
Means your JSON doesn’t match the model.
Check keys & types.
❌ “Address already in use”
Stop previous server:
Or change port:
❌ CORS Error (Frontend Calling API)
Install:
Add:
🏗 Real-World Folder Structure (When App Grows)
Keeps things clean.
📌 Best Practices
✔ Use environment variables
✔ Validate all inputs
✔ Use async where possible
✔ Prefer schemas over raw dicts
✔ Add logging
🏁 Final Thoughts
FastAPI makes API development feel modern again:
👉 type-safe
👉 fast
👉 minimal boilerplate
👉 built-in docs
Once you grasp:
model → route → validation → response
…you can build production-grade APIs quickly and safely.