# Dynamic Markdown Scraper (`louisdeconinck/dynamic-markdown-scraper`) Actor

Effortlessly feed LLM AIs with clean Markdown using our advanced web scraper. Seamlessly scrape dynamic, JavaScript-rendered websites while preserving original formatting. Ideal for AI training, documentation, and content migration.

- **URL**: https://apify.com/louisdeconinck/dynamic-markdown-scraper.md
- **Developed by:** [Louis Deconinck](https://apify.com/louisdeconinck) (community)
- **Categories:** AI, Developer tools, Automation
- **Stats:** 128 total users, 2 monthly users, 100.0% runs succeeded, 7 bookmarks
- **User rating**: 5.00 out of 5 stars

## Pricing

Pay per usage

This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have.

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

## 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

A powerful web scraper that converts difficult to scrape web pages into clean, well-formatted Markdown content. This scraper crawls websites and automatically transforms their HTML content into Markdown format while maintaining the original structure and formatting. It handles dynamic content and JavaScript-rendered pages with ease.

### Features

- Crawls websites and converts content to Markdown format
- Maintains proper heading structure, lists, and code blocks
- Handles dynamic content and JavaScript-rendered pages
- Handles images and links correctly
- Respects same-domain crawling
- Filters out unwanted content (navigation, footers, etc.)
- Configurable maximum crawl limits
- Smart content extraction focusing on main article content
- Built with TypeScript for better maintainability

### Use Cases

- Feed website content to LLM AI for further processing
- Extract content from websites for documentation, blog posts, or technical writing
- Scrape and convert web pages for use in static sites, blogs, or other projects
- Automate content migration from legacy systems to modern platforms

### Input Configuration

The scraper accepts the following input parameters:

- `startUrls`: Array of URLs where the crawler should begin (required)
- `maxRequestsPerCrawl`: Maximum number of pages to crawl (optional, defaults to unlimited)

Example input:

```json
{
    "startUrls": [
        { "url": "https://apify.com" }
    ],
    "maxRequestsPerCrawl": 100
}
```

### Output Format

The scraper saves the following data for each processed page:

- `url`: The URL of the scraped page
- `title`: Page title
- `markdown`: Converted Markdown content
- `capturedAt`: Timestamp of when the page was scraped

Example output:

```json
{
	"url": "https://apify.com/storage",
	"title": "Storage optimized for scraping · Apify",
	"markdown": "# Apify Storage\n\nScalable and reliable cloud data storage designed for web scraping and automation workloads.\n\n[View documentation](https://docs.apify.com/platform/storage)\n\nBenefits\n\n## Specialized storage from Apify[](https://apify.com/storage#specialized-storage-from-apify)\n\n![Enterprise_grade_reliability_performance_and_scalability_9890860f85.svg](https://cdn-cms.apify.com/Enterprise_grade_reliability_performance_and_scalability_9890860f85.svg)\n\n### Enterprise-grade reliability, performance, and scalability[](https://apify.com/storage#enterprise-grade-reliability-performance-and-scalability)\n\nStore a few records or a few hundred million, with the same low latency and high reliability. We use Amazon Web Services for the underlying data storage, giving you high availability and peace of mind.\n\n### Low-cost storage for web scraping and crawling[](https://apify.com/storage#low-cost-storage-for-web-scraping-and-crawling)\n\nApify provides low-cost storage carefully designed for the large workloads typical of web scraping and crawling operations.\n\n![Low_cost_storage_for_web_scraping_and_crawling_b313f7d95e.svg](https://cdn-cms.apify.com/Low_cost_storage_for_web_scraping_and_crawling_b313f7d95e.svg)\n\n![Easy_to_use_634e40ae76.svg](https://cdn-cms.apify.com/Easy_to_use_634e40ae76.svg)\n\n### Easy to use[](https://apify.com/storage#easy-to-use)\n\nData can be viewed on the web, giving you a quick way to review and share it with other people. The Apify [API](https://docs.apify.com/api/v2) and [SDK](https://docs.apify.com/sdk/js/) makes it easy to integrate our storage into your apps.\n\nFeatures\n\n## We’ve got you covered[](https://apify.com/storage#weve-got-you-covered)\n\n[![Dataset_78dfe4e3a4.svg](https://cdn-cms.apify.com/Dataset_78dfe4e3a4.svg)\n\n**Dataset**  \nStore results from your web scraping, crawling or data processing jobs into Apify datasets and export them to various formats like JSON, CSV, XML, RSS, Excel or HTML.\n\n\n\n\n\n](https://docs.apify.com/platform/storage/dataset)[![Request_queue_9e9602319e.svg](https://cdn-cms.apify.com/Request_queue_9e9602319e.svg)\n\n**Request queue**  \nMaintain a queue of URLs of web pages in order to recursively crawl websites, starting from initial URLs and adding new links as they are found while skipping duplicates.\n\n\n\n\n\n](https://docs.apify.com/platform/storage/request-queue)[![Key_value_store_bc65220b7d.svg](https://cdn-cms.apify.com/Key_value_store_bc65220b7d.svg)\n\n**Key-value store**  \nStore arbitrary data records along with their MIME content type. The records are accessible under a unique name and can be written and read at a rapid rate.\n\n\n\n\n\n](https://docs.apify.com/platform/storage/key-value-store)\n\n## Ready to build your first Actor?[](https://apify.com/storage#ready-to-build-your-first-actor)\n\n[Start developing](https://apify.com/templates)",
	"capturedAt": "2025-01-23T14:01:21.956Z"
}
```

# Actor input Schema

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

URLs to start with.

## `maxRequestsPerCrawl` (type: `integer`):

Maximum number of pages to crawl per run. Leave empty to crawl all pages.

## Actor input object example

```json
{
  "startUrls": [
    {
      "url": "https://apify.com"
    }
  ],
  "maxRequestsPerCrawl": 10
}
```

# 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": [
        {
            "url": "https://apify.com"
        }
    ],
    "maxRequestsPerCrawl": 10
};

// Run the Actor and wait for it to finish
const run = await client.actor("louisdeconinck/dynamic-markdown-scraper").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": [{ "url": "https://apify.com" }],
    "maxRequestsPerCrawl": 10,
}

# Run the Actor and wait for it to finish
run = client.actor("louisdeconinck/dynamic-markdown-scraper").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": [
    {
      "url": "https://apify.com"
    }
  ],
  "maxRequestsPerCrawl": 10
}' |
apify call louisdeconinck/dynamic-markdown-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,louisdeconinck/dynamic-markdown-scraper"
        }
    }
}
```

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/Zs6JIh8WtU9d0aj6L/builds/bGda3iJOdzdYVDfpl/openapi.json