Advanced Data Extractor
Scrape, filter, and export specific data points from bulk text using intelligent regex
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Pull every match out of a wall of text
Sometimes you do not want to edit text; you only want the pieces that match a pattern, such as every email address in a pasted document or every order number in a log dump. The Regex Extractor runs your regular expression across the source text, collects each match into a numbered table, and lets you download the list. Copying matches by hand from a long export is slow and easy to get wrong, and this reduces it to one pattern and one click.
Extracting step by step
- Enter a regular expression in Extraction Pattern. It arrives pre-filled with an email pattern you can keep or overwrite.
- Under Extraction Settings, leave Unique Only ticked to remove repeated values, and tick Case Sensitive if capitalisation matters. When unticked, matching ignores case.
- Paste your material into Source Text. The Paste button reads from your clipboard, Sample loads an example containing several email addresses, and Clear empties the box.
- Press Start Extraction Process.
- Review the table of numbered values, copy a single one with the button on its row, or export the whole list with Text, JSON or CSV.
Reading the results
Above the table, three badges show total matches found, how many are distinct, and whether the unique filter was applied. The CSV export has two columns, an ID and the Value, with quotes escaped correctly. JSON export gives a simple array of strings. Text export gives one match per line.
Typical uses
- Collecting all email addresses from a contact list pasted out of a document.
- Isolating IP addresses or URLs from server logs before further analysis.
- Listing product codes or invoice numbers embedded in messy supplier emails.
- Grabbing hex colour codes from a stylesheet to build a palette.
Limits and edge cases
The extractor always searches globally, so every occurrence is found. It returns the full text of each match, not individual capture groups, so wrap your pattern so that the entire wanted value is the match. If the pattern is invalid, an error message appears inside the results table instead of a list. Uniqueness compares exact strings, meaning two addresses that differ only in capitalisation count as different unless Case Sensitive is off and you normalise them yourself. Very broad patterns such as a lone dot can return an enormous list, so test on a small sample first. Processing happens in your browser using JavaScript, and a pattern that backtracks heavily on large text may slow the page.
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