Consider a market researcher who spends hours manually gathering pricing information from various eCommerce websites, analyzing this data, and building competitive pricing strategies based on the derived insights. Instead of relying on traditional scraping tools and practices, he could have saved ample time with the use of automated tools. This would also let him focus on other core tasks like analyzing market trends, identifying customer preferences, and refining pricing strategies to stay competitive.
In essence, automation offers numerous advantages for businesses, saving time and resources while enhancing accuracy and consistency in data collection and analysis. The scenario mentioned above was an example of just one obstacle that businesses often face during web data extraction. Below, we will explore a few other major challenges that firms encounter in web scraping and how to overcome them using automated solutions.
Common Web Scraping Challenges and How to Address them with Automation