Data Extractor
Extract emails, URLs, IP addresses, phone numbers, dates, and other patterns from text
Extraction Patterns
Common Patterns
Date & Time
Numbers & Codes
Social Media
Custom
0 chars, 0 words, 1 lines
No pattern selected
About Data Extractor
This tool helps you extract specific types of data from your text. Select one of the predefined extraction patterns or create your own custom pattern with regular expressions.
Common Patterns
- Emails: Extract email addresses (e.g., user@example.com)
- URLs: Extract web addresses (e.g., https://example.com)
- IP Addresses: Extract IPv4 addresses (e.g., 192.168.1.1)
- Phone Numbers: Extract various phone number formats
Date & Time
- Dates: Extract dates in common formats
- Times: Extract time values (12 or 24-hour format)
Numbers & Codes
- Numbers: Extract numeric values
- Credit Card Numbers: Extract potential credit card patterns
- Postal/ZIP Codes: Extract postal code formats
Social Media
- Hashtags: Extract hashtags (e.g., #example)
- Mentions: Extract username mentions (e.g., @username)
Custom Patterns
- Custom Regex: Create your own pattern using regular expressions
- Select appropriate flags (global, case-insensitive, multiline)
- Test and refine your pattern for specific data extraction needs
Output Options
- List: Simple one-per-line output format
- CSV: Comma-separated values for spreadsheets
- JSON: Structured data for programming
- HTML: Formatted HTML list for web use
Privacy Note:
All processing happens in your browser. Your text is not sent to any server, ensuring complete privacy. The tool works entirely client-side using JavaScript.