# DeepCrawl AI — Universal Website to Markdown Crawler Pro (`meanusarcanus/deep-markdown-crawler-api`) Actor
Crawl entire websites, sitemaps, and documentation hubs into clean, LLM-ready Markdown with zero ads, cookie banners, navbars, or clutter. Built for RAG pipelines & AI agents!
- **URL**: https://apify.com/meanusarcanus/deep-markdown-crawler-api.md
- **Developed by:** [Meanus Arcanus](https://apify.com/meanusarcanus) (community)
- **Categories:**
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 1 bookmarks
- **User rating**: No ratings yet
## Pricing
from $2.49 / 1,000 results
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?
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
## 🤖 DeepCrawl AI — Universal Website to Markdown Crawler Pro (Model Context Protocol Server)
[](https://modelcontextprotocol.io/)
[](https://www.python.org/)
[](https://opensource.org/licenses/MIT)
[](https://glama.ai/mcp/servers)
A high-performance **Model Context Protocol (MCP) Server** and deep domain crawler that turns any website, documentation hub, or sitemap into clean, LLM-ready Markdown for **Claude Desktop, Cursor IDE, LangChain, RAG pipelines, and Autonomous AI Agents**.
***
### ⚡ Overview
**DeepCrawl AI** is a lightweight, high-speed alternative to Firecrawl and Crawl4AI. It recursively crawls documentation portals (e.g. Stripe, FastAPI, Supabase) and blogs, strips all web noise (ads, cookie banners, tracking scripts, navigation menus), and formats the core content into token-budgeted GitHub-Flavored Markdown.
- 🛡️ **Zero Noise HTML Cleaner**: Strips header/footer boilerplates, cookie banners, popups, and sidebar ads.
- 🌲 **BFS Deep Domain Crawler**: Recursively discovers internal links with strict domain boundary locking.
- 🗺️ **Fast Sitemap & URL Mapper**: Maps all available URLs across an entire domain in seconds.
- 🔌 **Zero-Config MCP Integration**: Plug-and-play with Claude Desktop, Cursor, and Antigravity agents.
***
### 🛠️ MCP Tools & Capabilities
The server exposes the following Model Context Protocol (MCP) tools:
| Tool Name | Parameters | Description |
| :--- | :--- | :--- |
| **`scrape_url_markdown`** | `url` *(string, required)* | Scrapes a single webpage, removes ads/cookie popups, and returns clean GitHub Flavored Markdown with token metrics. |
| **`crawl_domain_markdown`** | `start_url` *(string, required)*, `max_pages` *(int)*, `max_depth` *(int)* | Recursively crawls an entire documentation site or blog up to a depth limit, returning a unified Markdown bundle for RAG. |
| **`map_domain_urls`** | `start_url` *(string, required)*, `max_links` *(int)* | Fast discovery of all internal URLs and sitemap routes across a domain without downloading full page bodies. |
***
### 🔌 Quickstart: Connect to Claude Desktop & Cursor
#### 1. Claude Desktop Configuration
Add this server to your `claude_desktop_config.json`:
- **macOS**: `~/Library/Application Support/Claude/claude_desktop_config.json`
- **Windows**: `%APPDATA%\Claude\claude_desktop_config.json`
- **Linux**: `~/.config/Claude/claude_desktop_config.json`
```json
{
"mcpServers": {
"deep-markdown-crawler": {
"command": "python3",
"args": [
"/path/to/deep-markdown-crawler-api/mcp_server.py"
]
}
}
}
```
#### 2. Cursor IDE Configuration (`.cursor/mcp.json`)
```json
{
"mcpServers": {
"deep-markdown-crawler": {
"command": "python3",
"args": ["/path/to/deep-markdown-crawler-api/mcp_server.py"]
}
}
}
```
***
### 📦 Python SDK & CLI Usage
```bash
pip install deep-markdown-crawler
```
```python
from deep_markdown_crawler import scrape_url_to_markdown, crawl_domain_to_markdown
## 1. Scrape Single URL
doc = scrape_url_to_markdown("https://fastapi.tiangolo.com/tutorial/")
print(f"Title: {doc['title']} | Tokens: ~{doc['token_count']}")
print(doc['markdown'][:500])
## 2. Deep Crawl Entire Domain
crawl = crawl_domain_to_markdown(
start_url="https://fastapi.tiangolo.com/tutorial/",
max_pages=5,
max_depth=2
)
print(f"Crawled {crawl['total_pages_crawled']} pages ({crawl['total_tokens_estimated']} tokens).")
```
***
### 🌐 Serverless REST API Endpoints
| Method | Endpoint | Description |
| :--- | :--- | :--- |
| `POST` | `/api/v1/scrape` | Single URL to clean GitHub-Flavored Markdown. |
| `POST` | `/api/v1/crawl` | Recursive domain crawler for multi-page documentation hubs. |
| `POST` | `/api/v1/map` | Fast domain URL & sitemap mapper. |
| `GET` | `/api/v1/health` | Service health status and supported features. |
***
### 📄 License
MIT License. Created by Meanus Arcanus.
# Actor input Schema
## `start_urls` (type: `array`):
List of URLs or doc portal paths to crawl and convert into clean Markdown.
## `max_pages_per_domain` (type: `integer`):
Maximum number of pages to crawl per domain (1 to 50).
## `max_depth` (type: `integer`):
Link traversal depth (1 to 3).
## Actor input object example
```json
{
"start_urls": [
"https://fastapi.tiangolo.com/tutorial/"
],
"max_pages_per_domain": 10,
"max_depth": 2
}
```
# Actor output Schema
## `results` (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 '' with your token
const client = new ApifyClient({
token: '',
});
// Prepare Actor input
const input = {
"start_urls": [
"https://fastapi.tiangolo.com/tutorial/"
]
};
// Run the Actor and wait for it to finish
const run = await client.actor("meanusarcanus/deep-markdown-crawler-api").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 '' with your token.
client = ApifyClient("")
# Prepare the Actor input
run_input = { "start_urls": ["https://fastapi.tiangolo.com/tutorial/"] }
# Run the Actor and wait for it to finish
run = client.actor("meanusarcanus/deep-markdown-crawler-api").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 '{
"start_urls": [
"https://fastapi.tiangolo.com/tutorial/"
]
}' |
apify call meanusarcanus/deep-markdown-crawler-api --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"type": "http",
"url": "https://mcp.apify.com/?tools=fetch-actor-details,meanusarcanus/deep-markdown-crawler-api"
}
}
}
```
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 ` 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/HxaJRz1tPBa2HC5ZX/builds/M40RXHGdQdQ8eN4B0/openapi.json