An elegant client-side unstructured text scraper. Write regular expressions with named capturing groups to extract neat data tables, filter metrics greedily, and export spreadsheet CSVs in milliseconds.
// Regex named groups:
/^(?<ip>\S+) - - \[(?<time>[^\]]+)\]/gm
// Raw logs:
192.168.1.10 - - [22/Jun/2026:20:50:00]
10.0.0.45 - - [22/Jun/2026:20:51:15]| ip | time |
|---|---|
| 192.168.1.10 | 22/Jun/2026:20:50:00 |
| 10.0.0.45 | 22/Jun/2026:20:51:15 |
Everything you need to scan logs, match patterns, filter records, and export formats client-side.
Capture matching values into custom columns using (?<name>pattern) syntax. The workspace compiles them directly as spreadsheet headers.
Control boundary quantifiers, match text line-by-line, and apply live greedy filtering criteria to search matching rows across columns on the fly.
Export your scraped tables to standard CSV format with a UTF-8 BOM byte header so Excel and Numbers open the spreadsheet seamlessly without glitched text.
Pasting proprietary server access records, database connection lists, or bulk contact details? RegexExtract operates 100% locally. No text is ever uploaded or cached on a server.
Validate regular expressions, parse named capture blocks, and compile clean datasets directly in your browser.