Data acquisition (DAQ) is a complex and costly process. Creating DAQ systems for analyzing a system requires expensive electronics and a dedicated team of engineers for support, posing a challenge for users who readily need data. This project is a proof of concept to create a temporary or one-off DAQ system using equipment commonly available to every team. We aim to automate the data acquisition process from the Rohde \& Schwarz RTO 1044 oscilloscope, convert the acquired binary data into floating point values, and store the results in a CSV file format. By developing a Python program to handle these tasks, we seek to reduce the manual effort involved in data collection, significantly increasing efficiency.