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Automate Excel Data Refresh Using Python Scripting

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Excel spreadsheets can contain large amounts of important data that needs to be constantly updated. Unfortunately, manually refreshing the data can become quite tedious and time-consuming. That’s where Python scripting comes in! Using Python, you can automate the process of refreshing your Excel data with just a few lines of code.

By utilizing the powerful capabilities of Python, you will be able to automate almost every step involved in refreshing your data. This includes everything from logging into your data source, downloading the latest data, updating your Excel spreadsheet, and even sending email notifications once the update is complete.

If you are tired of manually refreshing your data, and are interested in learning how to automate the entire process using Python, then this article is for you. We will guide you through the entire process, from start to finish, and provide you with all the tips and tricks you need to get started. So buckle up and get ready to learn how to streamline your data update process for good!

So, what are you waiting for? The power of Python scripting is at your fingertips, and we’re here to help you harness that power for your benefit. By the end of this article, you’ll be a pro at automating your Excel data refresh, saving yourself time and effort in the long run. Don’t miss out on this opportunity – read on and discover the world of automated data updates!

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“Refresh Excel External Data With Python” ~ bbaz


Excel is one of the most widely used tools for data analysis and management. However, as the amount of data grows, it becomes increasingly difficult to manually refresh and update the data. This is where Python scripting comes in – by automating data refreshes, we can save time and improve accuracy.

Automating Excel Data Refresh With VBA

Traditionally, automating data refresh in Excel was done using Visual Basic for Applications (VBA). While this is a powerful tool, it has several downsides. Firstly, VBA can be quite difficult to learn and use effectively. Secondly, VBA is specific to Microsoft products, meaning that the scripts cannot be easily ported to other platforms.

The Benefits of Using Python

Python, on the other hand, is a free, open-source language with a simple syntax that is easy to learn. It can be used across multiple operating systems and is not limited to Microsoft products. Additionally, Python has a massive community of users and developers, meaning that there are plenty of resources available for those looking to learn.

How Python Can Be Used For Excel Automation

In order to use Python to automate Excel data refresh, we need to use a package called openpyxl. This package allows us to manipulate Excel files, including refreshing data. Once we have imported the package, we can use the load_workbook function to load an existing Excel file.

Loading an Excel File

Once we have loaded our Excel file, we can then use the data_only flag to ensure that only the current values of any formulas are displayed – this ensures that we don’t inadvertently change any formulas in our spreadsheet.

Refreshing Excel Data

Refreshing Excel data is done using the refresh_all method. This method refreshes all of the connections in our workbook, pulling in any updated data from external sources.

Benefits of Automating Excel Data Refresh

Automating Excel data refresh has several benefits. Firstly, it saves time – we no longer need to manually update our data. Secondly, it improves accuracy – by automating the process, we reduce the risk of manual errors. Finally, it allows us to focus on analysis rather than data management.

Comparison With Other Tools

While VBA is still widely used for Excel automation, Python’s versatility and simplicity make it a strong contender. Additionally, there are other tools available for automating Excel data refresh, such as Power Query and Power Pivot. These tools have their own benefits and drawbacks and may be better suited to different use cases.


Automating Excel data refresh using Python can save time, improve accuracy, and allow us to focus on analysis rather than data management. While there are other tools available for Excel automation, Python’s simplicity and versatility make it a strong choice for those looking to streamline their workflow.

Tool Benefits Drawbacks
VBA Powerful, specific to Microsoft products Difficult to learn, limited to Microsoft products
Python Free, open-source, simple syntax, multi-platform Less powerful than VBA in some areas
Power Query Easy to use, intuitive interface Can be slow with large datasets
Power Pivot Good for complex data models Requires some understanding of database concepts


Overall, I believe that Python is one of the best tools for automating Excel data refresh. Its simplicity and versatility make it easy to learn and use across multiple platforms. While there are other tools available, they may be better suited to specific use cases. Ultimately, the choice of tool will depend on the user’s needs and experience.

Thank you for taking the time to read our blog about Automating Excel Data Refresh Using Python Scripting. We hope that you gained valuable insights and learned how to streamline your data refresh processes by integrating Python scripts into your workflow.

Remember, automating tasks can help you save time and increase efficiency, especially when dealing with large datasets. By leveraging technology and combining tasks into one streamlined process, you can reduce errors and increase accuracy in your data analysis.

We hope that this article has encouraged you to take a closer look at how you’re currently refreshing your Excel data and explore ways to integrate Python scripting to streamline your workflow. Thank you again for reading and for your commitment to improving your data analytics skills. Keep practicing and exploring new tools and technologies to stay ahead of the curve!

People also ask about Automate Excel Data Refresh Using Python Scripting:

  1. What is Python scripting?
  2. Python scripting is the process of writing codes in Python programming language to automate tasks, perform data analysis or manipulation, and create applications.

  3. Why use Python for automating Excel data refresh?
  4. Python offers powerful libraries to interact with Excel files and automate data refresh. This helps to save time and effort compared to manual refreshes.

  5. How do I install Python on my computer?
  6. You can download and install Python from the official website: Choose the appropriate version for your operating system.

  7. What libraries do I need to automate Excel data refresh using Python?
  8. You will need to install the following libraries: pandas, openpyxl, and pywin32.

  9. How do I write a Python script to automate Excel data refresh?
  10. You can use the pandas library to read the Excel file and perform data manipulation. Then, use openpyxl to save the updated data back to the Excel file. Finally, use pywin32 to refresh the data connections in the Excel file.

  11. Can I schedule the Python script to run automatically?
  12. Yes, you can use Windows Task Scheduler or similar tools to schedule the Python script to run at specific times or intervals.