> ## Documentation Index
> Fetch the complete documentation index at: https://nvd-54.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# IMSDb 集成

> 使用 LangChain JavaScript 集成 IMSDb document loader。

This example goes over how to load data from the internet movie script database website, using Cheerio. One document will be created for each page.

## 设置

```bash npm theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}}
npm install @langchain/community @langchain/core cheerio
```

## 用法

```typescript theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}}
import { IMSDBLoader } from "@langchain/community/document_loaders/web/imsdb";

const loader = new IMSDBLoader("https://imsdb.com/scripts/BlacKkKlansman.html");

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

***

<div className="source-links">
  <Callout icon="terminal-2">
    [将这些文档连接到](/use-these-docs) Claude、VSCode 等工具，通过 MCP 获取实时答案。
  </Callout>

  <Callout icon="edit">
    [在 GitHub 上编辑此页面](https://github.com/langchain-ai/docs/edit/main/src/oss/javascript/integrations/document_loaders/web_loaders/imsdb.mdx) 或 [提交 issue](https://github.com/langchain-ai/docs/issues/new/choose)。
  </Callout>
</div>
