Extraction Operator	Description	Note
Keep Field	Keep this field in the extracted data.	–
Equal (==)	Delete row if field value equals `comparison value`.	Works for strings, integers, and dates¹.
Not Equal (!=)	Delete row if field value does not equal `comparison value`.	Works for strings, integers, and dates¹.
Greater than (>)	Delete row if field value is greater than `comparison value`.	Works for integers and dates¹. Strings are skipped and row is kept in the data.
Smaller than (<)	Delete row if field value is smaller than `comparison value`.	Works for integers and dates¹. Strings are skipped and row is kept in the data.
Greater than or equal (>=)	Delete row if field value is greater than or equal to `comparison value`.	Works for integers and dates¹. Strings are skipped and row is kept in the data.
Smaller than or equal (<=)	Delete row if field value is smaller than or equal to `comparison value`.	Works for integers and dates¹. Strings are skipped and row is kept in the data.
Delete match (regex)	Remove the part of the field value that matches the regex. Example: regex `^Watched` transforms "Watched video XY" → "video XY"	Values are converted to strings before regex matching.
Replace match (regex)	Replace the matching part of the field value with `replacement value`. Example: regex `[\w\-\.]+@([\w\-]+\.)+[\w\-]{2,4}` with replacement `_anonymized_` transforms "some text email@address.com" → "some text _anonymized_"	Values are converted to strings before regex matching.
Delete row when match (regex)	Delete the entire row if the field value matches the regex. Example: regex `^Watched` deletes any row where the field starts with "Watched "	Values are converted to strings before regex matching.

¹Dates are detected if formatted as ISO, RFC2822, or HTTP, and only if both values use the same format. Otherwise, treated as strings.