# Convert web pages to clean Markdown for LLM and RAG

**Use case:** 

Turn any public web page into clean Markdown with title, author and word count. Ready to paste into an LLM prompt or a RAG index. Replace the URL with your own pages.

## Input

```json
{
  "startUrls": [
    "https://en.wikipedia.org/wiki/Web_scraping"
  ],
  "maxPages": 1,
  "crawl": false,
  "maxDepth": 1,
  "includeLinks": false,
  "includeImages": false,
  "maxCharsPerPage": 0,
  "onlyNew": false,
  "monitorId": "default",
  "includeFailed": false,
  "timeoutSecs": 20,
  "datasetMaxItems": 1000
}
```

## Output

```json
{
  "url": {
    "label": "URL",
    "format": "link"
  },
  "title": {
    "label": "Title",
    "format": "text"
  },
  "description": {
    "label": "Description",
    "format": "text"
  },
  "language": {
    "label": "Language",
    "format": "text"
  },
  "author": {
    "label": "Author",
    "format": "text"
  },
  "publishedDate": {
    "label": "Published date",
    "format": "date"
  },
  "wordCount": {
    "label": "Word count",
    "format": "number"
  },
  "statusCode": {
    "label": "Status code",
    "format": "number"
  },
  "markdown": {
    "label": "Markdown",
    "format": "text"
  },
  "error": {
    "label": "Error",
    "format": "text"
  }
}
```

## How it works

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

The Web Fetch - URL to Markdown for LLM, RAG & AI Agents Actor is ready to run with the inputs already set for "Convert web pages to clean Markdown for LLM and RAG". [Sign up or log in](https://console.apify.com/create-task-from-example/2k8N2QhOAtjwGgsJB) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Convert web pages to clean Markdown for LLM and RAG" task

The Web Fetch - URL to Markdown for LLM, RAG & AI Agents Actor will start running based on the input automatically. You can also change all the input fields, like URLs, max pages, and more, to match your specific use case.

### 3. Receive the "Convert web pages to clean Markdown for LLM and 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 URL, title, description, and more.

### 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 "Convert web pages to clean Markdown for LLM and RAG" task via API](https://apify.com/martin10291/url-to-markdown-llm.md).

## FAQ

### How much does a run cost?

You pay per result: $0.001 per result on the Free plan (about $1.00 per 1,000). Paid Apify plans get lower tiered prices.

### What can I change in the input?

Edit startUrls, maxPages, includeLinks, includeImages and maxCharsPerPage.

### Can I run it on a schedule and get only new items?

Yes. Add this task to an Apify Schedule and use onlyNew: later runs return only what was not reported before. The first run returns everything. Keep the same Monitor ID for each watch list.

## About this Actor

This example demonstrates how to use [Web Fetch - URL to Markdown for LLM, RAG & AI Agents](https://apify.com/martin10291/url-to-markdown-llm.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/martin10291/url-to-markdown-llm.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/martin10291/url-to-markdown-llm.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`).