> ## Documentation Index
> Fetch the complete documentation index at: https://langchain-5e9cc07a-preview-srmult-1765395526-473a2ea.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# Hacker News

This example goes over how to load data from the hacker news 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 { HNLoader } from "@langchain/community/document_loaders/web/hn";

const loader = new HNLoader("https://news.ycombinator.com/item?id=34817881");

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

***

<Callout icon="pen-to-square" iconType="regular">
  [Edit the source of this page on GitHub.](https://github.com/langchain-ai/docs/edit/main/src/oss/javascript/integrations/document_loaders/web_loaders/hn.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>