Regex Extraction
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Supported formats: .csv,.xlsx,.xls,.xlsm,.xlsb,.tsv
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About Regex Extraction
Use Regular Expressions to extract complex patterns.
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.
Category: Transformation & LogicCommon Use Cases
- Extracting an invoice number and date from a single free-text "description" field using one pattern
- Pulling a product SKU embedded inside a longer URL or file path string
- Splitting a combined "Name (ID)" field into separate Name and ID columns via capture groups
Key Features
- Full regular expression syntax with capture groups
- Applies the pattern across an entire column at once
- Each capture group is written to its own output column
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.
Frequently Asked Questions
Yes, this tool is built around standard regular expressions, so you write the pattern you want matched or extracted.
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.
Read the related guide →