What is the process of 'Data Scraping' in RPA?

The process of 'Data Scraping' in RPA primarily involves extracting data from websites or applications. This technique is essential because it allows automated systems to gather and manipulate necessary information that is not readily available in a structured format. Data scraping can be used to collect details from web pages, such as product information, pricing, and other relevant content, which can then be utilized for analytics, reporting, or further processing.

This approach is particularly valuable for organizations that need to monitor competitors, aggregate data for market research, or compile extensive datasets for machine learning projects. By automating the extraction phase, businesses can significantly reduce the time and effort spent on manual data collection, leading to increased efficiency and accuracy in their workflows.