I’m heavily into web scraping, I know, but this time it’s something a bit different. It’s not your typical web scraping; it’s a small example of how to extract information about your own data. You can get some very interesting insights from the data we generate daily. For instance, in my case, I use Spotify daily to listen to music. I never leave home without headphones, and I even wear them in the bathroom, so I generate a certain amount of data while using Spotify.

I am looking for a flat. Looking for a flat is a shitty process. There is a strangely small number of flats in my city and the ones that are available disappear quickly. I’m too lazy to spend all my time looking for a flat. It’s not really that complicated, but sometimes I’m busy and I forget to look that day, or I’m out and it’s more hassle with my phone.

Instagram is the social network to showing off. It’s probably the social network I use the most. I’m too young to actively use Facebook and too old to even consider creating TikTok (if you see it happening, I give you permission to kill me). I also use twitter, but more as a “news” provider, but I don’t post anything on that one. So all my posts tend to go to Instagram.