marketingFWi
New Member
- Joined
- May 28, 2014
- Messages
- 3
We have a list that includes all information in different rows. We need to extract email addresses and the corresponding name into 2 separate columns. For example, this is the data in A1-A19:
[TABLE="width: 159"]
<colgroup><col></colgroup><tbody>[TR]
[TD]Brett Abarbanel[/TD]
[/TR]
[TR]
[TD]University of California, Los Angeles[/TD]
[/TR]
[TR]
[TD]760 Westwood Plz[/TD]
[/TR]
[TR]
[TD]Los Angeles, CA 90095-8353[/TD]
[/TR]
[TR]
[TD]UNITED STATES (310)206-9942[/TD]
[/TR]
[TR]
[TD]Gregory Abbott[/TD]
[/TR]
[TR]
[TD]SVP Travel & Hospitality[/TD]
[/TR]
[TR]
[TD]DataArt[/TD]
[/TR]
[TR]
[TD]475 Park Ave S Fl 15[/TD]
[/TR]
[TR]
[TD]New York, NY 10016-6901[/TD]
[/TR]
[TR]
[TD]UNITED STATES (757)478-3184[/TD]
[/TR]
[TR]
[TD]gabbott@dataart.com[/TD]
[/TR]
[TR]
[TD]Mark Abraham[/TD]
[/TR]
[TR]
[TD]VP of Revenue Services[/TD]
[/TR]
[TR]
[TD]Luxe Hotels[/TD]
[/TR]
[TR]
[TD]11491 W Sunset Blvd[/TD]
[/TR]
[TR]
[TD]Los Angeles, CA 90049-2031[/TD]
[/TR]
[TR]
[TD]UNITED STATES (310)691-7712[/TD]
[/TR]
[TR]
[TD]mark@luxehotels.com
[/TD]
[/TR]
</tbody>[/TABLE]
I need to do one of two things:
1) break out each type of data into columns (Name, Title, Address, City/State, Zip, Country, Phone, Phone Number) so I can then work with the data
2) extract the email address and corresponding names. So pull out gabbott@dataart.com and indicate that it is related to the name Gregory Abbott. If it is not possible to correspond the email address to the name, just extracting all of the email addresses will suffice.
Thank you,
Emily
[TABLE="width: 159"]
<colgroup><col></colgroup><tbody>[TR]
[TD]Brett Abarbanel[/TD]
[/TR]
[TR]
[TD]University of California, Los Angeles[/TD]
[/TR]
[TR]
[TD]760 Westwood Plz[/TD]
[/TR]
[TR]
[TD]Los Angeles, CA 90095-8353[/TD]
[/TR]
[TR]
[TD]UNITED STATES (310)206-9942[/TD]
[/TR]
[TR]
[TD]Gregory Abbott[/TD]
[/TR]
[TR]
[TD]SVP Travel & Hospitality[/TD]
[/TR]
[TR]
[TD]DataArt[/TD]
[/TR]
[TR]
[TD]475 Park Ave S Fl 15[/TD]
[/TR]
[TR]
[TD]New York, NY 10016-6901[/TD]
[/TR]
[TR]
[TD]UNITED STATES (757)478-3184[/TD]
[/TR]
[TR]
[TD]gabbott@dataart.com[/TD]
[/TR]
[TR]
[TD]Mark Abraham[/TD]
[/TR]
[TR]
[TD]VP of Revenue Services[/TD]
[/TR]
[TR]
[TD]Luxe Hotels[/TD]
[/TR]
[TR]
[TD]11491 W Sunset Blvd[/TD]
[/TR]
[TR]
[TD]Los Angeles, CA 90049-2031[/TD]
[/TR]
[TR]
[TD]UNITED STATES (310)691-7712[/TD]
[/TR]
[TR]
[TD]mark@luxehotels.com
[/TD]
[/TR]
</tbody>[/TABLE]
I need to do one of two things:
1) break out each type of data into columns (Name, Title, Address, City/State, Zip, Country, Phone, Phone Number) so I can then work with the data
2) extract the email address and corresponding names. So pull out gabbott@dataart.com and indicate that it is related to the name Gregory Abbott. If it is not possible to correspond the email address to the name, just extracting all of the email addresses will suffice.
Thank you,
Emily