How to Extract Clean Email Addresses from Multiple Columns

if i have 4 columns from which i need valid emails but in any of the column the format of email can be good or not....From among those 4 columns i need clean emails without extra characters or words... is it possible?

6 comments

Channeled
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You can clean and validate emails from your columns using a two-step process: 1. First, use the "Extract URLs and Emails from Text" action to isolate email addresses from your text columns. This will help remove extra characters and words, extracting only the email addresses. 2. Then, use the "Validate Email with Debounce" action to verify the extracted emails. This will help you get only valid email addresses. You can configure the validation with options like: • Enable "Only Safe to Send Emails" to get higher quality results • Exclude free email domains if needed • Add specific emails to excludeBy default, our system uses ZeroBounce for validation, which helps ensure you're working with high-quality, deliverable email addresses. Sources: Extract URLs and Emails from Text with Clay Validate Email with Debounce Enrich People (Waterfalls) [Clay 101] - Clay University
Rashi A.
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will it cost clay credits?
Channeled
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Looks like you're still looking for help. We're escalating this over to our support team and someone should be in touch soon. In the meantime, feel free to include any other information that may be helpful in solving your issue!
Rashi A.
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260-804-4829walkerelectricllc@gmail.com7898 how to remove unwanted text from the email
Stefano
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Hey, thanks for reaching out! I replied in the other thread, so I’ll close this one. 😊 P.S. Next time, please try to keep your request in one message. Thanks!
Channeled
APP
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Hi Rashi A.! This thread was recently closed by our Support team. If you have a moment, please share your feedback:

How to Extract Clean Email Addresses from Multiple Columns | Clay