Markdownify

​

Overview

Markdownify is our specialized service that transforms web content into clean, well-formatted markdown. It intelligently preserves the content’s structure while removing unnecessary elements, making it perfect for content migration, documentation creation, and knowledge base building.

​

Key Features

​

Use Cases

​

Content Migration

• Convert blog posts to markdown
• Transform documentation
• Migrate knowledge bases
• Archive web content

​

Documentation

• Create technical documentation
• Build wikis and guides
• Generate README files
• Maintain developer docs

​

Content Management

• Prepare content for CMS import
• Create portable content
• Build learning resources
• Format articles

​

Getting Started

​

Quick Start

from scrapegraph_py import Client

client = Client(api_key="your-api-key")

response = client.markdownify(
    website_url="https://example.com/article"
)

{
  "request_id": "sg-req-md456",
  "status": "completed",
  "website_url": "https://example.com/article",
  "result": "# Understanding AI-Powered Web Scraping\n\nWeb scraping has evolved significantly with the advent of AI technologies...\n\n## Key Benefits\n\n- Improved accuracy\n- Intelligent extraction\n- Structured output\n\n![AI Scraping Process](https://example.com/images/ai-scraping.png)\n\n> AI-powered scraping represents the future of web data extraction.\n\n### Getting Started\n\n1. Choose your target website\n2. Define extraction goals\n3. Select appropriate tools\n",
  "error": ""
}

​

Async Support

For applications requiring asynchronous execution, Markdownify provides async support through the AsyncClient:

from scrapegraph_py import AsyncClient
import asyncio

async def main():
    async with AsyncClient(api_key="your-api-key") as client:
        response = await client.markdownify(
            website_url="https://example.com/article"
        )
        print(response)

# Run the async function
asyncio.run(main())

​

Integration Options

​

Official SDKs

• Python SDK - Perfect for automation and content processing
• JavaScript SDK - Ideal for web applications and content tools

​

AI Framework Integrations

• LangChain Integration - Use Markdownify in your content pipelines
• LlamaIndex Integration - Create searchable knowledge bases

​

Best Practices

​

Content Optimization

1. Verify source content quality
2. Check image and link preservation
3. Review markdown formatting
4. Validate output structure

​

Processing Tips

• Handle large content in chunks
• Preserve important metadata
• Maintain content hierarchy
• Check for formatting consistency

​

Example Projects

Check out our cookbook for real-world examples:

• Blog migration tools
• Documentation generators
• Content archival systems
• Knowledge base builders

​

API Reference

For detailed API documentation, see:

• Start Conversion Job
• Get Job Status

​

Support & Resources