DevBentoGenerate Python Dataclasses from API Response
Generate Python dataclasses with type annotations from a typical REST API JSON response. Paste your JSON and get ready-to-use Python class definitions.
// Generated by DevBento — json-to-typescript
interface RootAddress {
street: string;
city: string;
zip: string;
}
interface RootPostsItem {
title: string;
likes?: number;
}
interface Root {
id: number;
name: string;
email: string;
isActive: boolean;
roles: string[];
address: RootAddress;
posts: RootPostsItem[];
}Generate Python Dataclasses from API Response
This example generates Python dataclasses with type annotations from a typical REST API response. The pre-filled JSON represents a user object with nested address, array of roles, and array of post objects. Switch to Python mode to see the generated dataclasses.
What You Get
The tool produces:
- A root
Rootdataclass with all top-level fields RootAddressdataclass for the nested address objectRootPostsItemdataclass for array items- snake_case field names from camelCase JSON keys
Optional[T] = Nonefor fields missing from some array items- Python type mappings:
str,int,float,bool,List[str],Dict[str, Any] - Proper imports from
dataclassesandtyping
How to Use
- The example loads with a sample API response and Python mode pre-selected
- Inspect the generated dataclasses and their type annotations
- Copy the code and paste it into your Python project
- Replace with your actual API response to generate dataclasses for your endpoints
Real-World Pattern
Python dataclasses with type annotations are the standard way to model structured data in modern Python. The generated code works with mypy for static type checking, pydantic for validation, and dataclass_json for serialization. Use Optional for fields that may not always be present in the response.
Nothing you paste leaves this tab. Every tool runs entirely in your browser — no upload, no server, no account.