An at-sign A domain name, which is a string of letters, numbers, or characters like underscore, period, or dash, followed by a period, followed by another string of letters, numbers, or characters like underscore, period or dash. REGEX\_MATCH(, regex handles basic validation for email addresses: Starts with a username that is composed of letters, numbers, or characters like underscore, period or dash. Similar to the other example above, you can use REGEX_MATCH() to validate a list of email addresses as well. However, the REGEX functions that follow provide a way to search the information in your tables as well as the ability to work with that information in powerful ways. Additionally, we offer the FIND() and SEARCH() functions as well as other relevant text extraction functions in the Text operators and functions section of the formula field reference. In Airtable, we offer the find bar ( Ctrl F or Ctrl G ) as well as the Search extension to find certain literal instances of certain strings or patterns. The result is something similar to a search engine. You may be wondering what a regular expression is you can think of a regular expression as an arrangement of symbols and characters conveying a string or pattern to be searched for within a larger body of text. There are many outside resources that provide great deep dives into REGEX and pattern matching (like regex101, or the MDN Regex cheatsheet) that we recommend checking out for more detail. Note that in this article we will not be covering all of the Regular Expression patterns in-depth. Each of these functions has advantages and disadvantages depending on the formula output you are expecting to be produced in your formula field. Currently, Airtable supports three functions: REGEX_MATCH(), REGEX_EXTRACT(), and REGEX_REPLACE(). In our formula field reference, you'll find the basic overview for the REGEX() functions that Airtable currently supports.
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