10 Ready-to-Use Prompts for Data Extraction

Extract all email addresses from the following text. Return only the email addresses, one per line. If no emails found, return "No emails found".

Text: {{input}}

Emails:

Extract all phone numbers from the following text. Normalize them to the format (XXX) XXX-XXXX. Return one per line.

Text: {{input}}

Phone Numbers:

Extract all physical addresses from the following text. Format each address as: Street, City, State ZIP. Return one address per line.

Text: {{input}}

Addresses:

Extract all dates from the following text. Convert them to YYYY-MM-DD format. Return one per line.

Text: {{input}}

Dates:

Extract all URLs from the following text. Include both http/https links and plain domain names. Return one per line.

Text: {{input}}

URLs:

Extract all person names from the following text. Return in format: First Last. Return one name per line.

Text: {{input}}

Names:

Extract all company/organization names from the following text. Return one per line.

Text: {{input}}

Companies:

Extract all monetary amounts from the following text. Normalize to format: $X.XX. Return one per line.

Text: {{input}}

Amounts:

Extract all hashtags from the following text. Include the # symbol. Return one per line.

Text: {{input}}

Hashtags:

Extract the following information from the text and return as JSON with these fields: name, email, phone, company. If a field is not found, use null.

Text: {{input}}

JSON: