# Documentation pages as clean Markdown for RAG

**Use case:** 

Three public documentation and reference pages, here MDN, Apify docs and a Wikipedia article, each converted to Markdown with headings, lists, code, tables, links and images kept and the menus cut. Replace the addresses with your own docs or help-center pages.

## Input

```json
{
  "urls": [
    "https://developer.mozilla.org/en-US/docs/Web/HTML/Element/article",
    "https://docs.apify.com/platform/actors/running",
    "https://en.wikipedia.org/wiki/Markdown"
  ],
  "fullPage": false,
  "includeLinks": true,
  "includeImages": true,
  "keepTables": true,
  "maxChars": 100000,
  "maxItems": 0,
  "maxConcurrency": 3,
  "onlyNew": false,
  "stateName": "default",
  "notifyWhenEmpty": false,
  "requestIntervalMs": 1000
}
```

## Output

```json
{
  "finalUrl": {
    "label": "Address that answered, after redirects",
    "format": "string"
  },
  "title": {
    "label": "Page title",
    "format": "string"
  },
  "markdown": {
    "label": "Main content as Markdown",
    "format": "string"
  }
}
```

## How it works

### 1. Sign up on Apify or log in

The Website to Markdown Extractor: Clean Text for LLMs and RAG Actor is ready to run with the inputs already set for "Documentation pages as clean Markdown for RAG". [Sign up or log in](https://console.apify.com/create-task-from-example/Q0qyTuTKukh0DFoMj) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Documentation pages as clean Markdown for RAG" task

The Website to Markdown Extractor: Clean Text for LLMs and RAG Actor will start running based on the input automatically. You can also change all the input fields, like page urls, whole page instead of main content, and more, to match your specific use case.

### 3. Receive the "Documentation pages as clean Markdown for RAG" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as address that answered, after redirects, page title, and main content as markdown.

### 4. Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also [run the "Documentation pages as clean Markdown for RAG" task via API](https://apify.com/rowcraft/website-markdown-extractor.md).

## About this Actor

This example demonstrates how to use [Website to Markdown Extractor: Clean Text for LLMs and RAG](https://apify.com/rowcraft/website-markdown-extractor.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/rowcraft/website-markdown-extractor.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

This Task's input is already configured above. Use it as-is rather than inventing a new one.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/rowcraft/website-markdown-extractor.md

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).