> ## Documentation Index
> Fetch the complete documentation index at: https://langchain-5e9cc07a-preview-devupd-1765394015-eccef47.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# Google Cloud Storage

<Tip>
  **Compatibility**

  Only available on Node.js.
</Tip>

This covers how to load a Google Cloud Storage File into LangChain documents.

## Setup

To use this loader, you'll need to have Unstructured already set up and ready to use at an available URL endpoint. It can also be configured to run locally.

See the docs [here](/oss/javascript/integrations/document_loaders/file_loaders/unstructured) for information on how to do that.

You'll also need to install the official Google Cloud Storage SDK:

```bash npm theme={null}
npm install @langchain/community @langchain/core @google-cloud/storage
```

## Usage

Once Unstructured is configured, you can use the Google Cloud Storage loader to load files and then convert them into a Document.

In addition, you can optionally provide a `storageOptions` parameter to specify not only your storage options but also other authentication ways if you don't want Application Default Credentials(ADC) as default manner.

```typescript theme={null}
import { GoogleCloudStorageLoader } from "@langchain/community/document_loaders/web/google_cloud_storage";

const loader = new GoogleCloudStorageLoader({
  bucket: "my-bucket-123",
  file: "path/to/file.pdf",
  storageOptions: {
    keyFilename: "/path/to/keyfile.json",
  },
  unstructuredLoaderOptions: {
    apiUrl: "http://localhost:8000/general/v0/general",
    apiKey: "", // this will be soon required
  },
});

const docs = await loader.load();

console.log(docs);
```

***

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  [Edit the source of this page on GitHub.](https://github.com/langchain-ai/docs/edit/main/src/oss/javascript/integrations/document_loaders/web_loaders/google_cloud_storage.mdx)
</Callout>

<Tip icon="terminal" iconType="regular">
  [Connect these docs programmatically](/use-these-docs) to Claude, VSCode, and more via MCP for real-time answers.
</Tip>