How to Separate Business Emails into Columns Effectively

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hi, as extract business emails, i wonder how i could turn these emails into each separate column ? thx

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Channeled
APP
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To split extracted business emails into separate columns, you can follow these steps: 1. Use the "Extract Data From Values" function to process your email data. 2. You can extract various components of the emails into separate columns, including: • Username • Domain • Email Provider • Email Type (personal vs. company) • And other relevant information 3. When setting up the extraction, use the forward slash (/) command to add the specific columns you want to create.If you're working with comma-separated email data, you can use a custom extraction Regex pattern: [^,"]+"?[^,"]+ to split the values into a list. Sources: Write to table integration overview | Documentation | Clay University Identify Email Type and Extract Company Domain from Email with Clay
Channeled
APP
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Hi alex! This thread was recently closed by our Support team. If you have a moment, please share your feedback:

Channeled
APP
·
·
To split extracted business emails into separate columns, you can follow these steps: 1. Use the "Extract Data From Values" function to process your email data. 2. You can extract various components of the emails into separate columns, including: • Username • Domain • Email Provider • Email Type (personal vs. company) • And other relevant information 3. When setting up the extraction, use the forward slash (/) command to add the specific columns you want to create.If you're working with comma-separated email data, you can use a custom extraction Regex pattern: [^,"]+"?[^,"]+ to split the values into a list. Sources: Write to table integration overview | Documentation | Clay University Identify Email Type and Extract Company Domain from Email with Clay
Channeled
APP
·
·
Hi alex! This thread was recently closed by our Support team. If you have a moment, please share your feedback: