comment on

I strongly recommend getting a database. It will make life a lot easier in the end, otherwise any hack you have for this wil be broken.

However if the data is very uniform, you can just wildcard the name and rely on everything else to lock down the position. Like this untested RE: /^(\d+)\s+(.*?)\s+(\d+.*?)\s+(\w\w)\s+(\d{3}-\d{3}-\S+)\s*(.*)/ The first capture will be the customer code, then the name, then street address, state, then telephone number (with allowance for extensions, as in 223-456-1234x56), then comment.

Looking at that again, a database would be far preferable. (If you don't do that, then add some validation checks. Because the data WILL entered badly, and that will be a constant battle to face.)

In reply to Re: Parse mailing addresses with a regex by tilly
in thread Parse mailing addresses with a regex by data67

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