> ## Documentation Index
> Fetch the complete documentation index at: https://langchain-5e9cc07a-preview-lsapi-1779323176-451247e.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# College confidential integration

> Integrate with the College confidential document loader using LangChain JavaScript.

This example goes over how to load data from the college confidential website, using Cheerio. One document will be created for each page.

## Setup

```bash npm theme={null}
npm install @langchain/community @langchain/core cheerio
```

## Usage

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

const loader = new CollegeConfidentialLoader(
  "https://www.collegeconfidential.com/colleges/brown-university/"
);

const docs = await loader.load();
```

***

<div className="source-links">
  <Callout icon="terminal-2">
    [Connect these docs](/use-these-docs) to Claude, VSCode, and more via MCP for real-time answers.
  </Callout>

  <Callout icon="edit">
    [Edit this page on GitHub](https://github.com/langchain-ai/docs/edit/main/src/oss/javascript/integrations/document_loaders/web_loaders/college_confidential.mdx) or [file an issue](https://github.com/langchain-ai/docs/issues/new/choose).
  </Callout>
</div>
