feat(scraping): add smart table extraction and analysis capabilities

Add comprehensive table detection and extraction functionality to the web scraping system:
- Implement intelligent table detection algorithm with scoring system
- Add table extraction with support for headers, rows, captions
- Update models to include tables in Media class
- Add table_score_threshold configuration option
- Add documentation and examples for table extraction
- Include crypto analysis example demonstrating table usage

This change enables users to extract structured data from HTML tables while intelligently filtering out layout tables.

crawl4ai/models.py

@@ -326,6 +326,7 @@ class Media(BaseModel):
     audios: List[
         MediaItem
     ] = []  # Using MediaItem model for now, can be extended with Audio model if needed
+    tables: List[Dict] = []  # Table data extracted from HTML tables
 
 
 class Links(BaseModel):