For example:
4.7723.487 10/11/2018 777.290 24 32.387,08
4.6946.197 17/10/2018 1.186.160 31 38.263,23
4.5760.037 16/09/2018 1.408.738 27 52.175,48
4.4351.299 20/08/2018 1.770.230 30 59.007,67
4.2581.069 21/07/2018
Note: I couldn’t retrieve the data for the same day of each month, so I got then at the nearest interval possible to 30 days, but calculated the average per day based on the number of days between on date and the previous month’s reading.