Extract URLs from any text
Pull every URL from prose, HTML, or markdown. Filter by protocol, group by domain, dedupe or sort.
https://example.com http://blog.example.org ftp://files.example.net/data.zip www.acme.co.uk https://api.example.com/v1?query=1
How to extract URLs
Regex-based extraction handling http/https/ftp and bare www. URLs. Trailing punctuation (periods, commas, parens) is stripped automatically.
- 01
Paste text
Email body, HTML, Markdown — anything.
Tokenisation is Unicode-aware via
\p{L}\p{N}property classes — so accented letters, ideographs, and emoji code points all count correctly.anyUTF-8Unicodecode pointsliveinput · textraw · UTF-8Visit https://example.com
loaded · UTF-8UTF-8 · ready - 02
Filter protocol
Pick a single protocol or all. Default 'all' includes bare www. patterns.
httphttpsftpprotocolhttpshttps://example.com
filtered - 03
Sort or group
'By domain' groups all URLs from the same host together — useful for site-wide link inventory.
Output preserves the original line endings (
\nvs\r\n) and trailing whitespace is reported separately so you can spot diff-only changes.sortgroupline endingswhitespacediff-cleanorder · counteddomain · readyexample.com first
counted · livecounted - 04
Copy or download
Text or CSV with header.
Copy writes via the Async Clipboard API; downloads ship as
text/plain; charset=utf-8— nothing leaves your tab.copycsvclipboardtext/plainblobexport · copiedready · done✓ Copied
shipped · ready to shipsuccess
Text-processing fundamentals worth knowing
Tokenise with Unicode classes
Use \p{L}\p{N} with the u flag so accents, ideographs, and emoji count properly.
Normalise line endings
Convert \r\n to \n before diffing or hashing — Windows-vs-Unix endings produce phantom changes.
Mind invisible characters
Zero-width joiners, BOMs, and non-breaking spaces look identical to ASCII space. Strip them before comparison or storage.
Stream don’t slurp
For multi-megabyte text, iterate line-by-line rather than loading everything to memory — keeps the tab responsive.
Choose collation deliberately
Default JS sort is code-point order, not human alphabetical. Use Intl.Collator for locale-aware sorting.
Re-run after normalisation
NFC vs NFD changes byte length but not visible glyphs. String.prototype.normalize() before counts and comparisons.
When to extract URLs
Anywhere link inventory matters.
Audit page links
Find all outbound URLs from copied page source. Tokenisation uses Unicode property classes (\p{L}, \p{N}) with the u flag so accents, ideographs, and emoji code points all count correctly. Surrogate-pair-aware counts mean 🚀 weighs 1, not 2.
Unicode-correctMarkdown link review
Confirm all URLs in a doc before publishing. Result updates as you type — paste and watch totals settle in milliseconds even on multi-megabyte inputs. Heavy work runs through a memoised reducer so the editor never janks.
diff-cleanLog scraping
Pull URLs from log lines for tracing. Output normalises line endings to LF for clean diffs across platforms. Windows-vs-Unix CRLF mismatches disappear, which keeps git blame honest and review comments focused on real changes.
instant countsBookmark imports
Extract URLs from a notes export for browser import. Code-point counts are stable across NFC/NFD normalisation. Pair with the Reading Time Calculator to layer scan-time on top of raw counts, useful for editorial budgets and SEO meta-description limits.
platform-awareRSS lists
Build OPML imports from a feed list copy. All processing runs client-side — paste sensitive or pre-publish copy without it leaving the tab. The clipboard API writes UTF-8 text/plain so it survives transit to any editor or CMS.
code-point-accurateSecurity review
Spot suspicious URLs in copied email content. Same input plus same options always produces identical output, so the tool is safe to embed in CI scripts or doc-generation pipelines without race conditions.
losslessFrequently asked questions
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