Cat On A Spreadsheet
Parsing plain text files—especially complex ones like server logs, CSVs with inconsistent formats, or exported data from legacy systems—is one of the most practical (and often overlooked) use cases for Excel VBA. In this post, we'll walk through a realistic scenario: extracting useful data from a messy application log file using VBA. You'll learn:
How to open and read text files line by line
How to use Split, Instr, and Mid for parsing
How to clean and structure the extracted data
How to handle edge cases and missing values
Let’s say we have an AppLog.txt file with lines like these:
We want to extract and organize this into a table in Excel with:
Timestamp
Log level (INFO, ERROR, etc.)
Message
🪓 Step 2: Parse Each Line into Pieces
You might want to add headers for clarity:
You can call this sub before running ParseLogFile.
⚠️ Bonus: Handling Irregular Lines
Some logs may have missing or malformed entries. Use error handling:
While tools like Python are more common for text processing, VBA offers:
Native integration with Excel
Immediate visualization and manipulation of parsed data
A great option for non-developers working in Excel-driven environments
VBA is more than just forms and macros—it’s a lightweight data processing engine built right into Excel. With a bit of string manipulation and file handling, you can turn chaotic log files into structured, actionable data in minutes.
Want to go further? Try:
Parsing multi-line log entries
Highlighting rows with ERROR or WARN
Exporting results as a CSV or Excel table
Cat On A Spreadsheet