In the modern landscape of web scraping, a delicate balance exists between the necessity of data for business growth and the need to safeguard against aggressive AI companies that exploit this data. Businesses benefit from freely accessible data to enhance their offerings, but they must also implement defenses to protect their valuable information. The reality is that many companies are engaged in a similar data-gathering process, which can blur the lines between ethical data usage and scraping. The ongoing challenge involves not only acquiring the necessary data through public APIs and RSS feeds but also reconsidering relationships with potential data intruders, who may offer opportunities as paying customers. As the dynamics of web scraping and AI evolve, companies must continuously adapt their strategies to navigate this complex environment effectively.