How to Combine 20 CSV Files Without Writing a Python Script

siba jana — Wed, 11 Mar 2026 11:00:58 +0000

If you work with data, you have almost certainly encountered this problem: you export a massive dataset from a database or an analytics tool, and it splits your download into 20 separate .csv files.

Your task is to consolidate all of them into a single master sheet.

As developers, our first instinct is usually to crack open a terminal, spin up a Python environment, import pandas, and write a script to concatenate the files. But honestly, sometimes you just want the task done now without managing dependencies or debugging path issues.

Here are three ways to combine multiple CSV files, ranging from native OS tricks to a free browser tool that requires zero code.

1. The Command Line Trick (Windows)

If you are on a Windows machine, you can stitch text files together using a native Command Prompt command. Because CSVs are just text files under the hood, this works perfectly.

How to do it:
Place all your CSV files into a single, empty folder.

Open the folder in File Explorer.

Click the address bar at the top, type cmd, and press Enter.

In the terminal, run the following command:

bash
copy *.csv merged_output.csv
The Catch
This is a "dumb" text merge. The command line doesn't understand CSV headers. If all 20 of your files have a header row (like id, name, email), that exact header row will be repeated 20 times throughout your new merged_output.csv file. You will still have to open the file and manually delete the duplicate headers.

2. The Power Query Route (Excel)

If you already have Microsoft Excel installed, you can use Power Query to automate the merge. This is much cleaner than the command line method, though it requires a few more clicks.

How to do it:
Put all your CSV files in one folder.

Open a blank Excel workbook.

Navigate to Data > Get Data > From File > From Folder.

Select your folder and click Combine & Load.

The Catch
Power Query is incredibly strict. If your CSV files have slightly mismatched headers (e.g., file one has phone_number and file two has phone), the query will often fail or create misaligned columns that you have to fix manually.

3. The Drag-and-Drop Web Tool (The Fastest Way)

If you want to skip the terminal and avoid Excel's strict data modeling, the absolute fastest way is to use a dedicated browser utility.

I highly recommend Merge Excel Files. It is a free, lightweight web app built specifically for combining spreadsheets.

Why it's better than writing a script:

Zero Configuration: You just drag and drop your .csv, .xls, or .xlsx files into the browser. It instantly stacks them and outputs a clean master file.

Smart Header Matching: Unlike the Windows command line trick, it actually parses the data. It merges similar columns and won't duplicate your header rows.

Local Processing: As a developer, uploading sensitive client data to random online converters is a massive security red flag. This tool was built with client-side parsers (like SheetJS), meaning all the processing happens locally in your browser. Your data never touches an external server.

Wrapping Up
Writing a Python script to merge CSVs is a great exercise for a beginner, but for daily productivity, it is often overkill. Next time you are staring down a folder full of scattered data files, try the command line trick or drop them into Merge Excel Files to get your master sheet in seconds.

How do you currently handle scattered CSV files in your workflow? Let me know in the comments!

DEV Community: siba jana

How to Combine 20 CSV Files Without Writing a Python Script

1. The Command Line Trick (Windows)

2. The Power Query Route (Excel)

3. The Drag-and-Drop Web Tool (The Fastest Way)

Why it's better than writing a script: