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
- Process first URL
- Review and export
- Process next URL
- Combine results
- 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.