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@whatwg-node/fetch

0.10.11-alpha-20250917174339-67f57efbaee4742a41159e425ac9a8f92e990de4
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  • License MIT

Cross Platform Smart Fetch Ponyfill

Package Exports

    This package does not declare an exports field, so the exports above have been automatically detected and optimized by JSPM instead. If any package subpath is missing, it is recommended to post an issue to the original package (@whatwg-node/fetch) to support the "exports" field. If that is not possible, create a JSPM override to customize the exports field for this package.

    Readme

    @whatwg-node/fetch

    A ponyfill package for the Fetch Standard. If your JavaScript environment doesn't implement this standard natively, this package automatically ponyfills the missing parts, and export them as a module; otherwise it exports the native ones without touching the environment's internals. It also exports some additional standard APIs that are required by the Fetch Standard.

    Installation

    npm install @whatwg-node/fetch

    Why Fetch API and why this ponyfill in general?

    If you are building a JavaScript library, and you want it to support all JavaScript environments not only Node.js. Fetch API is the best choice for you. Because it's a standard, and it's implemented by the most environments out there expect Node.js :). So you can use Fetch API in your library, and your users can use it in their browsers, Deno, Bun, Cloudflare Works, and in Node.js.

    This is how we support all JavaScript environments in GraphQL Yoga. In GraphQL Yoga, we don't care which JavaScript environment you prefer, we support all of them.

    Why we should still use these for Node.js even if it already implements them natively

    Even if newer Node.js already implements Fetch API and Data Text Encoding API natively, we still recommend to use this package, because this package implements them for Node.js in more efficient way.

    • See problems with the global fetch/undici in Node.js
      • We offer a patched version of node-fetch that doesn't use undici and Node.js streams internally, so it's more efficient than the native one.
    • See problems with text encoding API in Node.js
      • We use Buffer instead of the native one, because Buffer is faster than the native one unfortunately.
    • Body.formData() is not implemented by Node.js, so we implement it with busboy internally. So you can consume incoming multipart(file uploads) requests with .formData in Node.js.
    • fetch implementation of Node.js uses undici and it doesn't support HTTP 2, our implementation supports it natively thanks to node-libcurl.

    Faster HTTP Client in Node.js with HTTP/2 support

    If you install node-libcurl seperately, @whatwg-node/fetch will select libcurl instead of node:http which is faster.

    See benchmarks

    Handling file uploads with Fetch API

    import { Request } from '@whatwg-node/fetch'
    
    // See how you can handle file uploads with Fetch API
    http.createServer(async (req, res) => {
      const request = new Request(req)
      const formData = await request.formData()
      const file = formData.get('file')
      // ...
    })

    If you want to limit the size of the multipart form data, you can use createFetch. See the API section for more details.

    API

    The following are exported by this package:

    WHATWG Fetch Standard

    Web Streams API

    URL Standard

    Data Types

    Data Encoding/Decoding API

    Web Crypto API

    Create variations of the implementation

    • createFetch

    createFetch allows you to create an API with some specific flags that are not available in the actual API.

    Limit the multipart form data size

    This is useful if you parse the multipart request bodies with .formData().

    import { createFetch } from '@whatwg-node/fetch'
    
    const fetchAPI = createFetch({
      formDataLimits: {
        // Maximum allowed file size (in bytes)
        fileSize: 1000000,
        // Maximum allowed number of files
        files: 10,
        // Maximum allowed size of content (operations, variables etc...)
        fieldSize: 1000000,
        // Maximum allowed header size for form data
        headerSize: 1000000
      }
    })
    
    // See how you can handle file uploads with Fetch API
    http.createServer(async (req, res) => {
      const request = new Request(req)
      const formData = await request.formData()
      const file = formData.get('file')
      // ...
    })