[Nilam Hubertus]

Storing the scraped data in a structured format is critical for efficient analysis. Instead of printing the data, consider saving it to a CSV file or a database. Libraries like csv or pandas in Python make it easy to write data to files, while databases like SQLite or MongoDB allow for more advanced querying and analysis. This approach is especially useful when tracking trends over time or analyzing large datasets. It also ensures that your data is organized and easily retrievable.

[Nilam Hubertus]

Fingerprinting is hard to bypass. I’ve used Selenium with browser extensions to mimic real user behavior, but it’s time-consuming and not always foolproof.