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What is Extract URLs?
Extract URLs scans a block of text and pulls out every URL it finds — HTTP, HTTPS, FTP, and other protocols. It detects full URLs even when embedded in paragraphs, HTML, JSON, or messy unformatted text.
How to use Extract URLs
- Paste any text containing URLs — emails, HTML source, documents, logs, or raw data.
- Click 'Extract URLs' to scan the entire text for valid URLs.
- View the deduplicated list of extracted URLs.
- Copy all URLs or download them as a list for further processing.
Why use this tool?
Manually picking out URLs from a long email thread, HTML page, or log file is time-consuming and error-prone. This URL extractor finds every link in your text automatically, producing a clean list you can audit, visit, or import into a tool.
FAQ
- What URL formats does it detect?
- It detects URLs starting with http://, https://, ftp://, and other standard protocols. URLs with query strings, fragments, and paths are fully captured.
- Does it remove duplicate URLs?
- Yes, duplicate URLs are automatically removed so you get a unique list of links.
- Can it extract URLs from HTML source code?
- Yes, it extracts URLs from href attributes, src attributes, and any other place a URL appears in the HTML text.
- Does it validate whether the URLs are live?
- No, the tool extracts URLs from text but does not check whether they are reachable. It focuses on finding and listing them.
- Is my pasted text kept private?
- Yes, all processing happens for your request online. Your text is never sent to any server.
Extract URLs — In-Depth Guide
URL extraction automatically pulls all hyperlinks from a block of text, HTML source code, document content, or any other text input for organized review and analysis. SEO specialists and digital marketers extract URLs from competitor pages to thoroughly analyze backlink profiles, content linking strategies, and overall site structure. Marketing teams pull links from draft email campaigns and newsletters to carefully verify that all destination URLs are correct and properly tagged with tracking parameters before sending.
Academic researchers and students extract URLs from published papers, journal articles, and reference lists to efficiently build comprehensive, organized link collections for further study, citation management, and analysis. Rather than manually clicking through and individually copying each link one at a time from lengthy documents, automated bulk extraction saves considerable time and effort while reducing the chance of missed links. Review all extracted URLs for duplicates and broken links before adding them to your research database.
Web developers and site migration specialists extract URLs from HTML source code during website migrations, platform transitions, or domain changes to systematically verify that all internal links correctly point to the proper new destination addresses. Missing or broken links after a site migration negatively impact both user experience and search engine rankings and can take months to recover from. Building a complete URL inventory from the source code makes comprehensive migration testing systematic and thorough.
Content auditors, compliance officers, and editorial teams extract all URLs from a document, webpage, or email template to methodically check for outdated references, expired domains, affiliate link compliance issues, or potential policy violations. Having a clean, consolidated, and deduplicated list of every URL contained in the source content makes it straightforward to verify each destination individually and systematically without having to read through the entire source text manually searching for embedded links.
The problem with finding links by hand
URLs hide in text in maddening ways. They sit buried in the middle of paragraphs, wrapped in HTML tags, embedded in JSON, scattered through a long email thread, or repeated dozens of times across a log file. Picking them out by eye is slow, and worse, it is unreliable — you skim past one, you copy half of another, you miss the three identical links and the one subtly different one that actually mattered. Automatically scanning the whole text and pulling out every URL removes both the tedium and the human error, producing a clean list you can audit, visit, or feed into the next tool.
How URL detection works — and why it is harder than it looks
Recognising a URL programmatically means matching a pattern: a scheme (http://, https://, ftp://), a domain, an optional path, query string, and fragment. That sounds tidy until you meet real URLs, which are gloriously messy. They contain percent-encoded characters, query parameters with ampersands and equals signs, port numbers, internationalised domains, and trailing punctuation that may or may not be part of the link. The eternal ambiguity is the sentence-ending period: in visit https://example.com. is that final dot part of the URL or the end of the sentence? Good extraction makes sensible judgements about these boundaries, but the inherent fuzziness is why you should always glance at the extracted list rather than trusting it blindly.
Deduplication: the quiet time-saver
In most real text the same URL appears many times — a navigation link repeated on every line of scraped HTML, a tracking link pasted throughout an email chain. Returning a deduplicated list, rather than every raw occurrence, is what makes the output actually useful: forty mentions of five distinct links collapse to the five you care about. Keep one subtlety in mind, though — URLs that differ only in their query parameters or trailing slash are technically distinct strings even when they point to the same page, so a deduplicated list can still contain near-duplicates that a human would consider the same. If you need canonical uniqueness, a quick manual scan of the result catches those.
Real uses across very different jobs
The same extraction serves wildly different people. A security analyst pulls every URL out of a suspicious email or log to check them against threat intelligence before anyone clicks. A content auditor extracts all the links from a page's HTML source to verify none are broken or pointing somewhere unintended. A researcher harvests citation links from a long document. A marketer pulls every tracking URL from a campaign export to audit the parameters. Because the input can be anything containing text — HTML, JSON, plain prose, raw logs — the tool adapts to all of these without you having to clean the input first.
What to do with the extracted list
An extracted URL list is usually a starting point. You might check the links for reachability, sort them by domain to see where a document points, or import them into another process. A safety note matters here: extracting a URL is not the same as visiting it, and that separation is the point — pulling links out of a suspicious message lets you inspect them without clicking, which is exactly what you want when the source is untrusted. Read the domains before you open anything. If you need to further process the list, splitting, sorting, and deduplicating with our other text tools turns the raw extraction into precisely the dataset your next step needs.
Getting complete results
A few habits improve completeness. Paste the full source, not a trimmed excerpt — links love to hide near the end of a document or inside a signature block. If you are extracting from HTML, paste the raw source rather than the rendered page text, because the actual link targets live in href attributes that the rendered view hides behind anchor text. And after extraction, scan the list for anything that looks truncated or oddly joined to neighbouring text — the boundary-detection ambiguities mentioned earlier occasionally clip a long URL or glue a trailing word onto one. A quick visual check turns a fast-but-fuzzy automatic pass into a list you can actually rely on.
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