| --- |
| 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. |
