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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.

In this third post in our solution architecture series, we will share with you our step-by-step process for conducting a legal review of every web scraping project we work on.

When it comes to using web data as alternative data for investment decision making, one topic rules them all: compliance.

Proxy management is the thorn in the side of most web scrapers. Without a robust and fully featured proxy infrastructure, you will often experience constant reliability issues and hours spent putting out proxy fires - a situation no web scraping professional wants to deal with.

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

When it comes to web scraping, one key element is often overlooked until it becomes a big problem.

Google Summer of Code (GSoC) was such a great experience for students like me. I learned so much about open source communities as well as contributing to their complex projects.

Unless you’ve been living under a rock for the past few months you know that the EU’s General Data Protection Regulation (GDPR) is upon us.

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.