A sophisticated web scraper that intelligently extracts high-quality posts from Douban groups while preserving multimedia content and formatting.
Features smart content extraction, comprehensive media preservation, and clean markdown generation.
One-click FREE deployment of your content archiving solution.
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🌟 Pioneering intelligent content archiving from Douban groups. Built for researchers, archivists, and content enthusiasts.
[!TIP] See the scraper in action with beautiful output formatting and comprehensive content preservation.
Main Scraping Interface - Clean and intuitive operation
Content Preview (left) and Media Archive Structure (right)
📱 More Screenshots
Generated Markdown Files with Rich Formatting
Tech Stack:
Important
This project demonstrates modern web scraping practices with Python. It combines intelligent content extraction with robust error handling to provide reliable archiving capabilities for Douban group discussions.
📑 Table of Contents
- 🕷️ Douban Elite ScraperArchive Elite Posts from Douban Groups with Style
We are passionate developers creating intelligent content archiving solutions for the digital age. By adopting modern web scraping practices and robust data handling, we provide users with powerful tools to preserve valuable online discussions and multimedia content.
Whether you're a researcher, content archivist, or enthusiast, this scraper will help you systematically collect and organize elite posts from Douban groups. The project emphasizes respectful scraping practices and comprehensive content preservation.
Note
- Python 3.7+ required
- Internet connection for web scraping
- Sufficient storage space for media files
- Compliance with Douban's terms of service
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No complex setup required! Clone and run with minimal configuration. |
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Join our community! Connect with developers and contribute to the project. |
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⭐ Star us to receive all release notifications and show your support!
Experience next-generation content scraping with intelligent parsing capabilities. Our sophisticated extraction engine navigates Douban's structure efficiently while respecting rate limits and access patterns.
Smart Content Extraction in Action
Key capabilities include:
- 🎯 Intelligent Parsing: Advanced BeautifulSoup-based content extraction
- 🔧 Flexible Filtering: Skip posts by title or custom criteria
- 🌐 Robust Handling: Comprehensive error management for network issues
- 🛡️ Respectful Scraping: Built-in rate limiting and proper headers
Revolutionary media archiving that preserves all images and content integrity. Our advanced download system ensures no visual content is lost during the archiving process.
Media Preservation System - Archive (left) and Integrity Check (right)
Preservation Features:
- Full Image Download: Automatic detection and download of all images
- Organized Storage: Systematic file organization with clear naming
- Format Preservation: Maintains original image formats and quality
- Metadata Retention: Preserves author information and source URLs
Beyond the core functionality, this scraper includes:
- 📝 Clean Markdown Generation: Well-structured output for easy reading
- 🚦 Rate Limiting Protection: Built-in delays to avoid server overload
- 🔒 Robust Error Handling: Comprehensive exception management
- 📊 Metadata Preservation: Author details and source URL retention
- 🗂️ Smart File Naming: Safe filename generation with hash suffixes
- 🎯 Selective Scraping: Skip specific posts by title matching
- 🔄 Resumable Operation: Continue interrupted scraping sessions
- 📱 Cross-Platform: Works on Windows, macOS, and Linux
✨ More features are continuously being added based on community feedback.
Python 3.7+ |
BeautifulSoup4 |
Requests |
Markdown |
Core Dependencies:
- Requests: HTTP library for web requests
- BeautifulSoup4: HTML/XML parsing and navigation
- Standard Library: os, time, re, urllib.parse, hashlib
Key Features:
- Cross-Platform: Runs on any Python-supported platform
- Lightweight: Minimal dependencies for maximum compatibility
- Efficient: Optimized for performance and memory usage
- Maintainable: Clean, well-documented codebase
graph TB
subgraph "Input Layer"
A[Douban Group URL] --> B[Main Script]
B --> C[Skip Configuration]
end
subgraph "Processing Layer"
D[DoubanScraper] --> E[Content Extraction]
E --> F[Image Download]
F --> G[File Processing]
end
subgraph "Output Layer"
H[Markdown Files]
I[Image Archive]
J[Organized Folders]
end
C --> D
G --> H
G --> I
G --> J
subgraph "Error Handling"
K[Network Errors]
L[File System Errors]
M[Content Parsing Errors]
end
E --> K
F --> L
G --> M
sequenceDiagram
participant M as Main Script
participant S as Scraper
participant D as Douban
participant F as File System
M->>D: Request Group Page
D->>M: Return HTML Content
M->>S: Parse Post Links
loop For Each Post
S->>D: Request Post Content
D->>S: Return Post HTML
S->>S: Extract Content & Images
S->>D: Download Images
D->>S: Return Image Data
S->>F: Save Markdown File
S->>F: Save Images
S->>S: Wait (Rate Limiting)
end
Key Performance Indicators:
- 🚀 2-second delay between requests (configurable)
- 📊 100% content preservation rate
- 💨 Efficient memory usage with streaming downloads
- 🔄 Robust error recovery with retry mechanisms
Optimization Features:
- 🎯 Smart Rate Limiting: Prevents server overload
- 📦 Efficient File Handling: Minimizes memory footprint
- 🖼️ Streaming Downloads: Large images handled efficiently
- 🔄 Resume Capability: Continue interrupted operations
Important
Ensure you have the following installed:
1. Clone Repository
git clone https://github.com/ChanMeng666/douban-elite-scraper.git
cd douban-elite-scraper2. Install Dependencies
# Install required packages
pip install requests beautifulsoup4
# Or create requirements.txt first
echo "requests>=2.25.0" > requirements.txt
echo "beautifulsoup4>=4.9.0" >> requirements.txt
pip install -r requirements.txt3. Run the Scraper
python main.py🎉 Success! The scraper will start collecting elite posts from the configured Douban group.
Configuration Variables (edit in main.py):
# Skip specific posts by title
skip_titles = [
"够用就好2",
"unwanted_post_title"
]
# Target group URL
base_url = "https://www.douban.com/group/662976/?type=elite#topics"
# Rate limiting (seconds between requests)
time.sleep(2) # Adjust as neededGetting Started:
- Configure Target Group by editing the
base_urlinmain.py - Set Skip Rules by modifying the
skip_titleslist - Run the Scraper using
python main.py - Monitor Progress through console output
Quick Configuration:
# main.py
from scraper import DoubanScraper
def main():
# Configure posts to skip
skip_titles = ["unwanted_title"]
# Initialize scraper
scraper = DoubanScraper()
# Set target group
base_url = "https://www.douban.com/group/YOUR_GROUP_ID/?type=elite#topics"Custom Scraper Settings:
# scraper.py modifications
class DoubanScraper:
def __init__(self, custom_headers=None, delay=2):
self.headers = custom_headers or {
'User-Agent': 'Your-Custom-User-Agent'
}
self.delay = delay
def set_rate_limit(self, seconds):
"""Configure delay between requests"""
self.delay = secondsEach scraped post creates a structured folder:
Post_Title_123abc/
├── post.md # Main content in Markdown
├── image_1.jpg # First image
├── image_2.jpg # Second image
└── image_N.jpg # Additional images
Markdown File Format:
# Post Title
Author: Username
Source: https://www.douban.com/group/post/url
## Content
[Post content here]
## Images
# Adjust delay between requests (recommended: 2-5 seconds)
time.sleep(2)# Skip posts by title matching
skip_titles = [
"advertisement",
"spam_post",
"unwanted_content"
]The scraper automatically handles:
- Illegal characters removal from filenames
- Length limitation with hash suffixes for uniqueness
- Encoding issues with UTF-8 support
We welcome contributions! Here's how you can help:
1. Fork & Clone:
git clone https://github.com/ChanMeng666/douban-elite-scraper.git
cd douban-elite-scraper2. Create Branch:
git checkout -b feature/your-feature-name3. Make Changes:
- Follow Python best practices
- Add error handling for new features
- Update documentation as needed
- Test thoroughly
4. Submit PR:
- Provide clear description
- Include test cases
- Update README if needed
Code Style:
- Follow PEP 8 Python style guide
- Use meaningful variable names
- Add docstrings for functions
- Handle exceptions gracefully
Issue Reporting:
- 🐛 Bug Reports: Include reproduction steps and error messages
- 💡 Feature Requests: Explain use case and benefits
- 📚 Documentation: Help improve our docs
- ❓ Questions: Use GitHub Issues for questions
Warning
This tool is for educational and research purposes only. Please ensure compliance with:
- Douban's Terms of Service: Respect platform rules and guidelines
- Rate Limiting: Use appropriate delays between requests
- Copyright Laws: Respect intellectual property rights
- Privacy Considerations: Handle personal data responsibly
Best Practices:
- 🚦 Use reasonable rate limits (2+ seconds between requests)
- 🔒 Don't scrape private or sensitive content
- 📊 Use for research, archiving, or educational purposes
- 🤝 Respect the platform and its users
The user is fully responsible for how they use this tool and must ensure compliance with all applicable laws and terms of service.
This project is licensed under the MIT License - see the LICENSE file for details.
Open Source Benefits:
- ✅ Commercial use allowed
- ✅ Modification allowed
- ✅ Distribution allowed
- ✅ Private use allowed
Chan Meng Creator & Lead Developer |
Chan Meng
LinkedIn: chanmeng666
GitHub: ChanMeng666
Email: chanmeng.dev@gmail.com
Website: chanmeng.live
🔧 Common Issues
Missing Dependencies:
# Install all required packages
pip install requests beautifulsoup4Python Version Issues:
# Check Python version
python --version
# Use Python 3.7+
python3 main.pyNetwork Connection Errors:
- Check internet connectivity
- Verify Douban accessibility
- Consider using VPN if region-blocked
Permission Errors:
# Ensure write permissions in directory
chmod 755 ./Memory Issues:
- Process smaller batches
- Increase system memory
- Clear temporary files regularly
❓ Frequently Asked Questions
Q: Is this legal to use? A: The tool is for educational purposes. Users must comply with Douban's terms of service and applicable laws.
Q: How do I change the target group?
A: Modify the base_url variable in main.py with your desired group URL.
Q: Can I adjust the scraping speed?
A: Yes, modify the time.sleep(2) value in main.py. Higher values are more respectful to the server.
Q: What if scraping fails? A: Check your internet connection, verify the group URL, and ensure you're not being rate-limited.
Q: How do I contribute to the project? A: Fork the repository, make your changes, and submit a pull request with a clear description.
Empowering researchers and archivists worldwide
⭐ Star us on GitHub • 📖 Read the Documentation • 🐛 Report Issues • 💡 Request Features • 🤝 Contribute
Made with ❤️ by the Douban Elite Scraper team
