> ## Documentation Index
> Fetch the complete documentation index at: https://langchain-5e9cc07a-preview-naomid-1770324835-64a7eea.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# Hacker News web loaders integration guide for LangChain (JavaScript)

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

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