# Website to Markdown for LLMs and RAG (`rodrgds/website-to-markdown`) Actor

Convert webpages into clean markdown for LLMs, RAG pipelines, AI datasets, archives, and content extraction. Simple pay-per-page pricing.

- **URL**: https://apify.com/rodrgds/website-to-markdown.md
- **Developed by:** [Rodrigo Dias](https://apify.com/rodrgds) (community)
- **Categories:** AI, Developer tools
- **Stats:** 2 total users, 0 monthly users, 90.3% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $5.00 / 1,000 extracted pages

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## Website to Markdown for LLMs and RAG

Turn webpages into clean, LLM-ready markdown. Give the Actor one or more URLs and it extracts the main readable content while removing navigation, sidebars, cookie banners, ads, and layout noise.

Use it when raw HTML is too messy and a full website crawler is overkill.

### What you can use it for

- Build small RAG datasets from documentation pages, articles, blogs, and knowledge-base pages
- Feed clean webpage content into LLM prompts, agents, or summarization pipelines
- Archive articles as readable markdown instead of noisy HTML
- Collect text content for AI datasets without writing a custom scraper
- Convert pages to markdown from an API, scheduled run, webhook, or Apify integration

### What data do you get?

Each extracted page is saved to the default dataset with:

| Field | Description |
| --- | --- |
| `url` | Original webpage URL |
| `title` | Extracted page title |
| `content` | Main page content as clean markdown |
| `wordCount` | Approximate word count |
| `language` | Detected page language, when available |
| `publishDate` | Published timestamp, when available |

### Input

Add one or more URLs:

```json
{
  "urls": [
    "https://en.wikipedia.org/wiki/Web_scraping",
    "https://docs.apify.com/platform/actors"
  ]
}
```

### Example use cases

#### Extract documentation for a chatbot

Run the Actor on documentation URLs, export the markdown, then index it in your vector database or RAG pipeline.

#### Save articles as markdown

Use it as a lightweight readability/API layer for articles, blogs, and newsletters.

#### Clean pages before sending them to an LLM

Instead of spending tokens on menus, cookie banners, recommendations, and layout text, send only the useful content.

### Pricing

Pay per extracted page. No subscription, no monthly fee.

This Actor is intentionally simple: URL in, clean markdown out.

# Actor input Schema

## `urls` (type: `array`):

One or more webpage URLs to extract content from.

## Actor input object example

```json
{
  "urls": [
    "https://example.com/"
  ]
}
```

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "urls": [
        "https://example.com/"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("rodrgds/website-to-markdown").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = { "urls": ["https://example.com/"] }

# Run the Actor and wait for it to finish
run = client.actor("rodrgds/website-to-markdown").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "urls": [
    "https://example.com/"
  ]
}' |
apify call rodrgds/website-to-markdown --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=rodrgds/website-to-markdown",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/T2xeUgKe3ZEpxibHm/builds/6OwKGudRju80oFj9V/openapi.json