Lately we've had a few clients who were in need of extra data before being able to start the data analyses or automation phase. They knew there was more data available online, but manually copy pasting to an Excel file was no option due to the volume. In such cases web scrapers are very useful tools to overcome repetitive look-up of data and to generate a larger dataset. In the past months we have built a few web scrapers for among others UV Smart and Bedden.nl.
Last week we have been able to build a custom web scraper for one of our other clients to kickstart their competitor analysis. Together we were able to find out their potential position in the market and boost their pitch to investors.
Sometimes the first step to data analyses, machine learning and AI is data generation. For example, when building machine learning algorithms it is often necessary to increase a dataset to enhance the algorithm performance. In such situations web scrapers allow you to leverage the full potential of the publicly accessible.