Hello!
There are some solutions out here already, but I can't quite get mine to do exactly as needed.
I am trying to extract an email, and on occasion there is more than one, but also another email address I don't want. Data would look something like this:
Email Address: sjefferson@gmail.com
(1) Beneficiary Name: John Smith
(1) Beneficiary Street Address: 123 Main St
(1) Beneficiary Street City: Anytown
(1) Beneficiary Email: jsmith@gmail.com
(2) Beneficiary Email: ljones@aol.com
Results I need are jsmith@gmail.com and ljones@aol.com But, NOT the sjefferson@gmail.com
I tried: Beneficiary email:(.+@\w+[\.\w?]+)
But that would only pull 1 email and if the one labeled Email Address was listed first, it pulled that one.
Thank you in advance,
Kim
Solved! Go to Solution.
Sorry, I misread the question. I believe @CarliE 's updated expression should work now. I'm wondering if a better approach would be to parse the field names and values for all rows first. Then it would be pretty easy to extract the beneficiary email addresses as well as any other fields you may need in the future.
@kas No problem! Happy to help out :)
Thank you...yours is very close to what the final solution was - only missing piece was isolating just the ones with "Beneficiary" before email.
Thanks so much!
No worries @kas glad we could help 😄
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