medium-scraper 0.1.1

High-scale Medium scraper: request abstraction and HTML->Markdown parser

Medium Scraper

A high-scale, async Medium scraper with request abstraction and HTML-to-Markdown parser. Quickly discover and convert Medium articles to clean Markdown with our intuitive web interface.

🌐 Web Interface (Recommended)

The easiest way to use Medium Scraper is through our web interface:

# Install web dependencies  
pip install medium-scraper[web]

# Run web server
cd web && python app.py

Then open your browser to http://localhost:8000

Docker Deployment (Easiest Setup)

cd web && docker build -t medium-scraper-web . && docker run -p 8000:8000 medium-scraper-web

Features

• Intuitive GUI for scraping Medium articles
• Real-time progress tracking via WebSocket
• Download results as ZIP files
• Job history and persistent storage
• Multiple request modes:
  • Decodo API: Smart managed scraping (requires Decodo API key)
  • Custom Proxies: Bring your own proxy list
  • Proxyless: Direct requests with your IP

🔧 Core Features

All components share these powerful features:

• Async/await support for high-performance operations
• Multiple request backends: Direct requests, custom proxies, or Decodo Scraper API
• Intelligent caching with configurable backends
• Progress tracking with callbacks
• Concurrent processing with rate limiting
• Robust error handling and retries

Web Interface

• Intuitive GUI for scraping Medium articles
• Real-time progress tracking via WebSocket
• Download results as ZIP files
• Job history and persistent storage
• Multiple request modes:
  • Decodo API: Smart managed scraping (requires Decodo API key)
  • Custom Proxies: Bring your own proxy list
  • Proxyless: Direct requests with your IP

CLI Tool

• Interactive prompts with rich formatting
• Progress bars and detailed statistics
• Multiple output formats (JSON, Markdown files)
• Proxy support and custom configurations
• Tag pagination and article filtering

Core Library

These features are also available when using the library programmatically. See our Library Documentation for details.

🛠️ Installation Options

Basic Installation

pip install medium-scraper

📚 Request Senders

The library supports multiple request backends:

1. RequestsRequestSender: Standard requests library (works with custom proxies or proxyless)
2. DecodoScraperRequestSender: Advanced scraping with Decodo API (requires API key)
3. CachedRequestSender: Adds caching to any sender

Choose the appropriate sender based on your needs:

from medium_scraper import RequestsRequestSender, DecodoScraperRequestSender

# For simple use cases (proxyless or with custom proxies)
sender = RequestsRequestSender()

# For advanced scraping with Decodo (requires API key from https://decodo.com)
sender = DecodoScraperRequestSender(api_key="your-decodo-api-key")

🔄 Async Usage

The library is designed to be fully async:

import asyncio
from medium_scraper import MediumExplorer

async def main():
    explorer = MediumExplorer()
    articles = await explorer.get_tag_articles("python", limit=5)
    
    for article in articles:
        print(f"Title: {article.title}")
        print(f"URL: {article.url}")

asyncio.run(main())

📚 Library Usage

For programmatic usage of the core library, please refer to our Library Documentation which provides detailed examples.

🖥️ CLI Tool

The command-line interface offers powerful scraping capabilities. See our CLI Documentation for comprehensive usage instructions.

📖 Documentation

For more detailed information about each component, please see the documentation in the docs folder:

• Library Documentation
• CLI Documentation
• Web Interface Documentation

🔗 Links

• PyPI Package
• GitHub Repository
• Issue Tracker