I have been working on learning Python lately. One of the best ways to learn is to pick small goals and achieve them.
The laundry room of my apartment building uses a service called Laundryview.com to let people see the status of the washer and dryer units including time remaining. I have my raspberrypi handy. So I set out to put together a python script to scrape the machine status every fifteen minutes and push the data into splunkstorm.com. This is so I can actually trend the machine usage to determine what days of the week and times are most available. Plus I wanted to see if I could do something new. Below is a sample graph from splunkstorm showing the in use pattern for the washing machines.
If you want to see the python script just click more. Warning it is down and dirty. I could have made things more elegant but it works and I have not had time to polish it up. You will see I use lxml to parse the mobile version of the site for the machine status from a table.





