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Flipping a coin, going with your gut, closing your eyes and begging the universe for guidance on how to proceed — these all have their place, sure. But using data to make decisions is a far more reliable approach in business.

Obtaining access to high-quality and reliable content through news and article scraping is essential to keep up with today’s quickly evolving marketplace.

Staring at the Statement of Work opened on your laptop screen, your thoughts must be wandering in all directions - where do you start?

We live in a data-demanding era and are all affected by it in one way or the other, especially when it comes to business operations, strategy and growth opportunities.

One common misconception about scraping personal data is that public personal data does not fall under the GDPR.

Visual web scraping tools are great. They allow people with little to no technical know-how to extract data from websites with only a couple of hours of upskilling, making them great for simple lead generation, market intelligence, and competitor monitoring projects.

I was recently invited to speak at the IAPP Europe Data Protection Congress in Brussels about web scraping and GDPR.

It got very easy to do Machine Learning: you install an ML library like scikit-learn or xgboost, choose an estimator, feed it some training data, and get a model that can be used for predictions.

This is a tale of trial, tribulation, and triumph. It is the story of how I overcame obstacles including an inconveniently placed grove of eucalyptus trees, armed with little more than a broom and a pair of borrowed binoculars, to establish a stable internet connection.