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Regex Extraction
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Supported formats: .csv,.xlsx,.xls,.xlsm,.xlsb,.tsv
AboutRegex Extraction
Use Regular Expressions to extract complex patterns.Category: Transformation & LogicExtracting an invoice number and date from a single free-text "description" field using one patternPulling a product SKU embedded inside a longer URL or file path stringSplitting a combined "Name (ID)" field into separate Name and ID columns via capture groups
The Regex Extraction tool is compatible with:.Use Text Features first if you just need counts or simple pattern flags; reach for Regex Transform when you need to actually pull structured substrings out, and follow up with Cleaning to trim or standardize the extracted values.You supply a standard regular expression with one or more capture groups, and the tool applies it to every row of a chosen column, writing each capture group into its own output column. This handles structured extraction that simple find-and-replace can't, such as pulling an order number, a date, and a status code out of a single freeform log line in one pass.
Frequently Asked Questions:
Do I need to know regex syntax?
Yes, this tool is built around standard regular expressions, so you write the pattern you want matched or extracted.
Can it extract multiple capture groups at once?
Yes, it's designed for extracting complex patterns, including multi-part matches.
The tool of choice for developers who need precise, pattern-based extraction that goes beyond simple string matching.