feat(docs): enhance table data access example with a real url

docs/md_v2/core/crawler-result.md

@@ -221,9 +221,13 @@ Tables that score above the threshold (default: 7) are extracted and stored in r
 
 ### Accessing Table data:
 ```python
+import asyncio
+from crawl4ai import AsyncWebCrawler, CrawlerRunConfig
+
+async def main():
     async with AsyncWebCrawler() as crawler:
         result = await crawler.arun(
-        url="https://example.com/",
+            url="https://www.w3schools.com/html/html_tables.asp",
             config=CrawlerRunConfig(
                 table_score_threshold=7  # Minimum score for table detection
             )
@@ -241,6 +245,10 @@ async with AsyncWebCrawler() as crawler:
                 # Print first few rows as example
                 for j, row in enumerate(table['rows'][:3]):
                     print(f"  Row {j+1}: {row}")
+
+if __name__ == "__main__":
+    asyncio.run(main())
+
 ```
 
 ### Configuring Table Extraction: