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Скачать или смотреть How to Efficiently Merge Data from Multiple Excel Files Using VBA

  • vlogize
  • 2025-09-22
  • 1
How to Efficiently Merge Data from Multiple Excel Files Using VBA
Excel VBA - Trying to add multiple columns from multiple files in to one master fileexcelvba
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Описание к видео How to Efficiently Merge Data from Multiple Excel Files Using VBA

Discover how to combine specific columns from multiple Excel files into one master spreadsheet using VBA, streamlining your data management process.
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This video is based on the question https://stackoverflow.com/q/62885943/ asked by the user 'Joshanky' ( https://stackoverflow.com/u/13925651/ ) and on the answer https://stackoverflow.com/a/62924450/ provided by the user 'Joshanky' ( https://stackoverflow.com/u/13925651/ ) at 'Stack Overflow' website. Thanks to these great users and Stackexchange community for their contributions.

Visit these links for original content and any more details, such as alternate solutions, latest updates/developments on topic, comments, revision history etc. For example, the original title of the Question was: Excel VBA - Trying to add multiple columns from multiple files in to one master file

Also, Content (except music) licensed under CC BY-SA https://meta.stackexchange.com/help/l...
The original Question post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license, and the original Answer post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license.

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How to Efficiently Merge Data from Multiple Excel Files Using VBA

If you have multiple Excel files scattered in a folder, each containing valuable data spread across various worksheets, it can become quite tedious to manually gather all that information. Thankfully, with a little bit of VBA (Visual Basic for Applications), you can automate this process and efficiently merge specific columns from all those files into one master spreadsheet. In this guide, we'll walk you through a step-by-step explanation of how to do just that.

The Problem

Imagine you have a folder filled with dozens of Excel files—each one with two to three worksheets—that you need to consolidate into a single master spreadsheet. Your goal is to extract specific columns (A, D, F, and Q) from any worksheet containing the word "Capture" in its name. You want to ensure that when you add data from these files, it doesn't overwrite any existing information but rather appends it appropriately. This task can be overwhelming when done manually, especially if this will be a recurring task as more files may be added to the folder over time.

The Solution

To tackle this problem, we can create a VBA script that performs the following tasks:

Open Each File in the Folder: Iterate through all files in the specified directory.

Check Each Worksheet: For files containing worksheets with "Capture" in their name, extract the desired columns.

Append Data: Add the extracted data to the master spreadsheet in such a way that it keeps growing without overwriting old data.

Step-by-Step Breakdown of the VBA Script

We'll provide a revised version of the original code shared, optimizing it for clarity and functionality.

[[See Video to Reveal this Text or Code Snippet]]

Key Points in the Script

Selecting the Folder: The script uses a folder picker to select the directory containing your Excel files.

Dynamic File Handling: It iterates over every file and checks if it's an Excel file.

Worksheet and Data Extraction: The code specifically looks for any worksheet with "Capture" in its name and extracts the defined columns (A, D, F, Q).

Appending Data: Each time new data is added, it's placed in the next available row, ensuring that there's no data overwrite.

Efficient Usage of Resources: The script closes each workbook after extracting the needed data, freeing up memory.

Conclusion

Using this VBA script, you can save yourself a considerable amount of time and effort when managing data from multiple Excel files. With just a few clicks, you can consolidate essential information without risking data loss. As a minor optimization, consider tailoring the file and data selection criteria to match your specific needs. Happy coding!

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