best techniques for dealing with missing values in scraped data
In the world of Web Scraping Services , data quality is everything. Businesses rely on scraped datasets for insights into pricing, competition, customer behavior, and product trends. However, one of the biggest challenges faced during data collection is incomplete or missing information. This is where the best techniques for dealing with missing values in scraped data become essential. Missing values can occur due to broken HTML elements, inconsistent website structures, API limitations, or access restrictions.