A tiny React hook for conveniently using the Fetch API with built-in loading, error, and dependency tracking.
react-fetch-hook is a lightweight React hook that simplifies data fetching by wrapping the native Fetch API. It provides a declarative way to handle asynchronous requests, manage loading states, and handle errors directly within functional components. The hook accepts the same arguments as the standard fetch function and includes features like dependency-based fetching and custom response formatters.
React developers building applications that need to fetch data from APIs with minimal boilerplate and built-in state management. It's particularly useful for those who prefer hooks over class-based lifecycle methods or external data-fetching libraries.
Developers choose react-fetch-hook for its tiny size, simplicity, and seamless integration with React's hook ecosystem. It eliminates repetitive code for loading and error states while offering flexibility through custom formatters and dependency tracking, all without the overhead of larger libraries.
React hook for conveniently use Fetch API
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At only 556 bytes gzipped, it adds negligible overhead to your application bundle, as confirmed by size-limit in the README.
Built-in TypeScript and Flow type definitions provide robust type safety out of the box, reducing setup friction for typed projects.
Supports custom formatters beyond default JSON, allowing handling of text, XML, or other formats as shown in the custom formatter example.
The 'depends' array lets you conditionally execute requests based on truthy values, useful for scenarios like waiting for authentication tokens.
Lacks automatic caching, background refetching, or retry mechanisms, requiring manual implementation for common data synchronization needs.
The usePaginatedRequest is marked experimental with a warning that its API may change, posing risks for production use in pagination scenarios.
Error handling is limited to fetch exceptions; it doesn't cover advanced cases like network retries or error boundaries, relying on developer implementation.