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--- |
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title: AI Powered Web Scraper |
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emoji: π |
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colorFrom: yellow |
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colorTo: pink |
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sdk: gradio |
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sdk_version: 5.35.0 |
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app_file: app.py |
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pinned: true |
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license: mit |
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short_description: 'ai powered web scrapping tool ' |
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thumbnail: >- |
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https://cdn-uploads.huggingface.co/production/uploads/6508b189ac5108b93a5f111b/MV3haSrhEtdlc5prx9rVO.png |
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--- |
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title: AI-Powered Web Scraper |
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emoji: π€ |
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colorFrom: blue |
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colorTo: purple |
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sdk: gradio |
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sdk_version: 4.44.0 |
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app_file: app.py |
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pinned: false |
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license: apache-2.0 |
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python_version: 3.10 |
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suggested_hardware: t4-small |
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suggested_storage: small |
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short_description: Professional web content extraction and AI summarization tool for journalists, analysts, and researchers |
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tags: |
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web-scraping |
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content-extraction |
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ai-summarization |
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journalism |
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research |
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analysis |
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nlp |
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bart |
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content-analysis |
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models: |
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facebook/bart-large-cnn |
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sshleifer/distilbart-cnn-12-6 |
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π€ AI-Powered Web Scraper |
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Professional-grade web content extraction and AI summarization tool designed for journalists, analysts, and researchers. |
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π Features |
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π‘οΈ Security & Compliance |
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Built-in URL validation and security checks |
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Robots.txt compliance checking |
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Protection against internal network access |
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Input sanitization and validation |
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π€ AI-Powered Analysis |
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Advanced content summarization using BART models |
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Intelligent keyword extraction |
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Content quality assessment |
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Reading time estimation |
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π Rich Metadata Extraction |
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Article titles and authors |
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Publication dates |
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Meta descriptions |
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Word count and reading metrics |
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Social media metadata (Open Graph) |
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πΎ Export & Data Management |
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CSV and JSON export formats |
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Batch processing capabilities |
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Session data management |
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Professional report generation |
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π§ Technical Excellence |
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Modular, maintainable code architecture |
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Comprehensive error handling |
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Async processing capabilities |
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Fallback mechanisms for reliability |
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π― Target Users |
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Journalists: Quick article summarization and fact-checking |
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Research Analysts: Content analysis and data extraction |
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Academic Researchers: Literature review and content analysis |
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Content Strategists: Competitive analysis and trend research |
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π How to Use |
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Enter URL: Paste the URL of the content you want to analyze |
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Configure Settings: Adjust summary length and other parameters |
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Extract & Analyze: Click the extract button to process content |
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Review Results: Examine the AI summary, metadata, and keywords |
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Export Data: Save results in your preferred format |
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βοΈ Technical Specifications |
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AI Models |
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Primary: Facebook BART-Large-CNN for summarization |
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Fallback: DistilBART-CNN for faster processing |
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Keyword Extraction: Custom frequency-based algorithm |
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Content Processing |
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Parser: BeautifulSoup4 with multiple extraction strategies |
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Security: Multi-layer validation and sanitization |
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Compliance: Automatic robots.txt checking |
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Formats: HTML, XHTML, XML content support |
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Performance |
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Processing Time: ~5-15 seconds per article |
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Content Length: Supports articles up to 50,000 words |
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Concurrent Requests: Optimized for batch processing |
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Memory Usage: Efficient model loading and caching |
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π οΈ Development |
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Architecture |
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βββ ContentExtractor # Web scraping and content extraction |
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βββ AISummarizer # AI-powered summarization |
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βββ SecurityValidator # URL and content validation |
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βββ RobotsTxtChecker # Compliance verification |
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βββ WebScraperApp # Main application orchestrator |
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Security Features |
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URL scheme validation (HTTP/HTTPS only) |
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Internal network protection |
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Robots.txt compliance |
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Rate limiting and throttling |
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Input sanitization |
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Error Handling |
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Graceful degradation for failed requests |
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Fallback summarization methods |
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Comprehensive logging |
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User-friendly error messages |
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π Supported Content Types |
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Fully Supported |
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News articles and blog posts |
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Academic papers and research |
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Documentation and tutorials |
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Magazine articles and features |
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Press releases and announcements |
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β οΈ Limited Support |
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Dynamic JavaScript-heavy sites |
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Single-page applications (SPAs) |
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Password-protected content |
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Sites with aggressive anti-bot measures |
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β Not Supported |
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PDF documents (direct upload) |
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Video/audio content |
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Images and multimedia |
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Social media posts (API required) |
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π Privacy & Ethics |
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No Data Storage: Content is processed in memory only |
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Respect for robots.txt: Automatic compliance checking |
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Rate Limiting: Respectful crawling practices |
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User Privacy: No tracking or analytics |
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Content Rights: Users responsible for usage rights |
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π¨ Troubleshooting |
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Common Issues & Solutions |
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Issue: ModuleNotFoundError: No module named 'bs4' |
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bash# Solution 1: Use minimal requirements |
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pip install gradio requests beautifulsoup4 pandas |
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# Solution 2: Run the fix script |
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python quick_fix.py |
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# Solution 3: Manual installation |
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pip install beautifulsoup4 |
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Issue: AI models not loading |
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App still works: Uses extractive summarization as fallback |
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π§ To enable AI: Ensure GPU is available or wait for model download |
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β οΈ First run: Models download automatically (2-3 minutes) |
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Issue: Slow performance |
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π‘ Upgrade hardware: Use T4 Small GPU for 5-10x speedup |
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π§ Optimize settings: Reduce summary length for faster processing |
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β‘ Batch processing: More efficient for multiple URLs |
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Deployment Troubleshooting |
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Check Space logs: Look for specific error messages |
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Verify requirements.txt: Ensure all packages are listed |
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Hardware requirements: Upgrade if memory issues occur |
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Restart Space: Factory reboot clears all caches |
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Fallback Features |
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The app includes robust fallback mechanisms: |
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No AI models: Uses extractive summarization |
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No NLTK: Uses basic text processing |
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Network issues: Graceful error handling |
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Invalid URLs: Security validation with clear messages |
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π Performance Tips |
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Batch Processing: Process multiple URLs for efficiency |
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Summary Length: Shorter summaries process faster |
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Content Quality: Clean, well-structured content works best |
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Network: Stable internet connection recommended |
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π€ Contributing |
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Contributions welcome! Areas for improvement: |
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Additional content extractors |
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Enhanced keyword algorithms |
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Support for more file formats |
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Advanced AI models |
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Performance optimizations |
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π License |
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Apache 2.0 License - See LICENSE file for details |
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β‘ Quick Start Examples |
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Basic Usage |
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URL: https://example.com/article |
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Summary Length: 200 words |
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β Extract & Summarize |
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Batch Analysis |
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1. Process first URL |
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2. Review and export |
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3. Process next URL |
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4. Combine results |
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5. Final export |
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Built with β€οΈ for the research and journalism community |
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This tool respects content creators' rights and website policies. Please use responsibly and in accordance with applicable laws and terms of service. |