# Website to Markdown Scraper — Pages for AI / RAG (`practical_ai_lab_jp/pal-website-to-markdown-crawler`) Actor

Convert public website pages to clean Markdown, CSV and AI-ready chunks for RAG. Lightweight HTML crawler with robots.txt checks and success-based pricing.

- **URL**: https://apify.com/practical_ai_lab_jp/pal-website-to-markdown-crawler.md
- **Developed by:** [Practical AI Lab](https://apify.com/practical_ai_lab_jp) (community)
- **Categories:** Developer tools
- **Features:** Limited permissions
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$1.20 / 1,000 markdown page delivereds

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/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

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 examples already wired to this Actor's own input schema, see the [API](#api) section below.

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`).

# README

## Website to Markdown Scraper — Pages for AI / RAG

Extract **real text from publicly accessible HTML pages**. Export readable Markdown, CSV and deterministic AI search chunks. Designed for fast, inexpensive static websites without a heavy browser.

**Use cases:** RAG indexing, competitors' published page snapshots, documentation cleanup, AI-friendly knowledge base imports, and research archives.

### Quick start

Enter up to 10 HTTPS URLs, set up to 50 pages per run and internal crawl depth 0–2. Start with one page and depth 0 to minimize cost.

The Actor reads robots.txt before each page; it doesn't log in, follow redirects or scrape blocked pages. It skips private addresses and non-HTML pages. JavaScript-only sites, consent walls and blocked sites aren't supported, and no content is invented.

**Outputs:** per-page Markdown, word count, page title, verified original URL, same-domain public links, AI chunks; downloadable CSV.

**Search relevance:** website scraper, website to markdown, webpage to text, markdown web scraper, RAG web crawler, scrape website to CSV.

### Pricing

$0.0012 per successfully delivered result, billed by the `markdown-page` event. The event price includes platform run usage. No Actor monthly subscription or additional Actor-start/dataset-item event is configured. Failed or blocked requests do not trigger this successful-result event. Check the current Pricing tab before running, and set your run charge cap.

### Small input example

```json
{
  "startUrls": [
    "https://example.com/"
  ],
  "maxPages": 1,
  "maxDepth": 0
}
```

### Dataset fields

`url`, `title`, `markdown`, `wordCount`, `links`, `status`, `depth`, `aiChunks`.

The structured dataset and CSV download are available from the run output. Use only data you are entitled to process and respect source-site terms, privacy obligations and intellectual-property rights. Contact Practical AI Lab through the Actor issue/message interface for support.

# Actor input Schema

## `startUrls` (type: `array`):

Enter complete HTTPS website URLs you are authorized to fetch.

## `maxPages` (type: `integer`):

Maximum number of website pages to extract in a single run (1–50).

## `maxDepth` (type: `integer`):

Number of internal-link levels to follow after each starting page (0–2).

## Actor input object example

```json
{
  "startUrls": [
    "https://example.com/"
  ],
  "maxPages": 1,
  "maxDepth": 0
}
```

# Actor output Schema

## `results` (type: `string`):

No description

## `pagesCsv` (type: `string`):

No description

## `summary` (type: `string`):

No description

# 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 = {
    "startUrls": [
        "https://example.com/"
    ],
    "maxPages": 1,
    "maxDepth": 0
};

// Run the Actor and wait for it to finish
const run = await client.actor("practical_ai_lab_jp/pal-website-to-markdown-crawler").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 = {
    "startUrls": ["https://example.com/"],
    "maxPages": 1,
    "maxDepth": 0,
}

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

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

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

```

## CLI example

```bash
echo '{
  "startUrls": [
    "https://example.com/"
  ],
  "maxPages": 1,
  "maxDepth": 0
}' |
apify call practical_ai_lab_jp/pal-website-to-markdown-crawler --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,practical_ai_lab_jp/pal-website-to-markdown-crawler"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/Rt5d4uE9nEgwxIu1b/builds/q1Xtkqs56TjiEFkzf/openapi.json