Extract Data with Regex Patterns
Pull emails, phone numbers, prices, and custom patterns from any text. Powerful regular expressions made simple in your spreadsheet.
| A | B | C | |
|---|---|---|---|
| 1 | Text | Formula | Extracted |
| 2 | Call: (555) 123-4567 | | — |
| 3 | Email: john@example.com | =SCRAPE_BY_REGEX(A3, "[\w.-]+@[\w.-]+") | john@example.com |
| 4 | Price: $1,299.99 USD | =SCRAPE_BY_REGEX(A4, "\$[\d,.]+") | $1,299.99 |
Pattern matching made powerful
Extract structured data from unstructured text with regex patterns.
Powerful Patterns
Full regex support for complex pattern matching.
Extract Anything
Emails, phones, URLs, prices — any pattern you can define.
Precise Matching
Get exactly what you need with capture groups.
Multiple Matches
Extract all occurrences, not just the first match.
Capture Groups
Use named groups to extract specific parts of matches.
Bulk Processing
Apply regex patterns across thousands of cells.
Regex patterns in action
Common patterns for extracting structured data from text.
\(?\d{3}\)?[-.\s]?\d{3}[-.\s]?\d{4}[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\.[a-zA-Z]{2,}\$[\d,]+\.?\d*https?://[^\s]+\d{4}-\d{2}-\d{2}SKU-\d{6}Frequently Asked Questions
Regex (regular expression) scraping uses text patterns to extract specific data like emails, phone numbers, URLs, prices, or any text that follows a pattern.
Basic regex knowledge helps, but we provide common patterns for emails, phones, URLs, and more. You can also ask AI to generate regex patterns.
Extracting email addresses, phone numbers, dates, prices, URLs, tracking codes, product IDs, or any consistently formatted data from text.
Yes! The function returns all matches as an array. Perfect for finding all emails or phone numbers on a contact page.
Test your pattern on regex101.com first. Common issues include escaping special characters, greedy vs lazy matching, and group captures.
Ready to extract data with regex?
Pull structured data from any text with patterns.
Emails, numbers, custom formats — all in your spreadsheet.
No credit card required • Full regex support • Bulk processing
