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Web scraping is an automated method of collecting data from websites and storing it in a structured format. We explain popular tools for getting that data and what you can do with it.

Beyond CSV files, Python in Excel supports connections to databases and APIs, expanding its applications for diverse data challenges and decision-making.

It is a handy tool for keeping a record of data explorations, creating charts, styling text and sharing the results of that work. For data analysis, the cornerstone package in Python is “Pandas”.

When done right, web scraping is a powerful tool that can give businesses a competitive edge in today’s data-driven world.

Data scraping does not quite look like a data breach. But in cases of "mass web scraping," the amount of users' data leaked may trigger breach reporting notification obligations in some jurisdictions.

The advent of web scraping tools has revolutionized the gathering of trustworthy information, ensuring rapid and high-quality data collection.