how to remove duplicates and inconsistencies in scraped data
In today\'s data-driven economy, businesses rely heavily on scraped data to power analytics, pricing strategies, and competitive intelligence. However, raw scraped data is often messy, unstructured, and filled with duplicates or inconsistencies. This is why understanding how to remove duplicates and inconsistencies in scraped data is critical for ensuring accurate insights and reliable decision-making.