README.md

---
title: AI Powered Web Scraper
emoji: 🏃
colorFrom: yellow
colorTo: pink
sdk: gradio
sdk_version: 5.35.0
app_file: app.py
pinned: true
license: mit
short_description: 'ai powered web scrapping tool '
thumbnail: >-
  https://cdn-uploads.huggingface.co/production/uploads/6508b189ac5108b93a5f111b/MV3haSrhEtdlc5prx9rVO.png
---

title: AI-Powered Web Scraper
emoji: 🤖
colorFrom: blue
colorTo: purple
sdk: gradio
sdk_version: 4.44.0
app_file: app.py
pinned: false
license: apache-2.0
python_version: 3.10
suggested_hardware: t4-small
suggested_storage: small
short_description: Professional web content extraction and AI summarization tool for journalists, analysts, and researchers
tags:

web-scraping
content-extraction
ai-summarization
journalism
research
analysis
nlp
bart
content-analysis
models:
facebook/bart-large-cnn
sshleifer/distilbart-cnn-12-6


🤖 AI-Powered Web Scraper
Professional-grade web content extraction and AI summarization tool designed for journalists, analysts, and researchers.
🚀 Features
🛡️ Security & Compliance

Built-in URL validation and security checks
Robots.txt compliance checking
Protection against internal network access
Input sanitization and validation

🤖 AI-Powered Analysis

Advanced content summarization using BART models
Intelligent keyword extraction
Content quality assessment
Reading time estimation

📊 Rich Metadata Extraction

Article titles and authors
Publication dates
Meta descriptions
Word count and reading metrics
Social media metadata (Open Graph)

💾 Export & Data Management

CSV and JSON export formats
Batch processing capabilities
Session data management
Professional report generation

🔧 Technical Excellence

Modular, maintainable code architecture
Comprehensive error handling
Async processing capabilities
Fallback mechanisms for reliability

🎯 Target Users

Journalists: Quick article summarization and fact-checking
Research Analysts: Content analysis and data extraction
Academic Researchers: Literature review and content analysis
Content Strategists: Competitive analysis and trend research

📖 How to Use

Enter URL: Paste the URL of the content you want to analyze
Configure Settings: Adjust summary length and other parameters
Extract & Analyze: Click the extract button to process content
Review Results: Examine the AI summary, metadata, and keywords
Export Data: Save results in your preferred format

⚙️ Technical Specifications
AI Models

Primary: Facebook BART-Large-CNN for summarization
Fallback: DistilBART-CNN for faster processing
Keyword Extraction: Custom frequency-based algorithm

Content Processing

Parser: BeautifulSoup4 with multiple extraction strategies
Security: Multi-layer validation and sanitization
Compliance: Automatic robots.txt checking
Formats: HTML, XHTML, XML content support

Performance

Processing Time: ~5-15 seconds per article
Content Length: Supports articles up to 50,000 words
Concurrent Requests: Optimized for batch processing
Memory Usage: Efficient model loading and caching

🛠️ Development
Architecture
├── ContentExtractor     # Web scraping and content extraction
├── AISummarizer        # AI-powered summarization
├── SecurityValidator   # URL and content validation
├── RobotsTxtChecker   # Compliance verification
└── WebScraperApp      # Main application orchestrator
Security Features

URL scheme validation (HTTP/HTTPS only)
Internal network protection
Robots.txt compliance
Rate limiting and throttling
Input sanitization

Error Handling

Graceful degradation for failed requests
Fallback summarization methods
Comprehensive logging
User-friendly error messages

📋 Supported Content Types
✅ Fully Supported

News articles and blog posts
Academic papers and research
Documentation and tutorials
Magazine articles and features
Press releases and announcements

⚠️ Limited Support

Dynamic JavaScript-heavy sites
Single-page applications (SPAs)
Password-protected content
Sites with aggressive anti-bot measures

❌ Not Supported

PDF documents (direct upload)
Video/audio content
Images and multimedia
Social media posts (API required)

🔐 Privacy & Ethics

No Data Storage: Content is processed in memory only
Respect for robots.txt: Automatic compliance checking
Rate Limiting: Respectful crawling practices
User Privacy: No tracking or analytics
Content Rights: Users responsible for usage rights

🚨 Troubleshooting
Common Issues & Solutions
Issue: ModuleNotFoundError: No module named 'bs4'
bash# Solution 1: Use minimal requirements
pip install gradio requests beautifulsoup4 pandas

# Solution 2: Run the fix script
python quick_fix.py

# Solution 3: Manual installation
pip install beautifulsoup4
Issue: AI models not loading

✅ App still works: Uses extractive summarization as fallback
🔧 To enable AI: Ensure GPU is available or wait for model download
⚠️ First run: Models download automatically (2-3 minutes)

Issue: Slow performance

💡 Upgrade hardware: Use T4 Small GPU for 5-10x speedup
🔧 Optimize settings: Reduce summary length for faster processing
⚡ Batch processing: More efficient for multiple URLs

Deployment Troubleshooting

Check Space logs: Look for specific error messages
Verify requirements.txt: Ensure all packages are listed
Hardware requirements: Upgrade if memory issues occur
Restart Space: Factory reboot clears all caches

Fallback Features
The app includes robust fallback mechanisms:

No AI models: Uses extractive summarization
No NLTK: Uses basic text processing
Network issues: Graceful error handling
Invalid URLs: Security validation with clear messages

📈 Performance Tips

Batch Processing: Process multiple URLs for efficiency
Summary Length: Shorter summaries process faster
Content Quality: Clean, well-structured content works best
Network: Stable internet connection recommended

🤝 Contributing
Contributions welcome! Areas for improvement:

Additional content extractors
Enhanced keyword algorithms
Support for more file formats
Advanced AI models
Performance optimizations

📄 License
Apache 2.0 License - See LICENSE file for details
⚡ Quick Start Examples
Basic Usage
URL: https://example.com/article
Summary Length: 200 words
→ Extract & Summarize
Batch Analysis
1. Process first URL
2. Review and export
3. Process next URL
4. Combine results
5. Final export

Built with ❤️ for the research and journalism community
This tool respects content creators' rights and website policies. Please use responsibly and in accordance with applicable laws and terms of service.