What is a URL Extractor?
A URL extractor is a tool that scans text or file content and pulls out every web address (URL) it finds. Whether you're working with a massive document, a scraped web page, a CSV export, or a PDF report, this tool identifies all HTTP and HTTPS links and presents them in a clean, organized list.
Instead of manually scanning through hundreds or thousands of lines of text looking for links, the URL extractor does the work in milliseconds. It catches URLs with query parameters, fragments, subdomains, and complex paths that are easy to miss when reading manually.
This tool is invaluable for SEO professionals auditing backlinks, developers debugging API responses, researchers collecting references, content managers verifying links in documents, and anyone who needs to quickly harvest URLs from unstructured text.
Why Use a URL Extractor in 2026?
Modern workflows generate enormous amounts of text containing embedded links. Marketing teams receive reports with dozens of campaign URLs. Developers work with log files containing API endpoints. Researchers download papers with hundreds of citations and references. Manually copying each URL is tedious, error-prone, and wastes valuable time.
A URL extractor automates this process completely. Paste your text, upload your file, and get every link extracted, deduplicated, and ready to copy or download in seconds. The domain breakdown feature gives you instant insight into which websites appear most frequently in your content.
For SEO professionals, extracting URLs from competitor content, backlink reports, or crawl data is a daily task. This tool handles it without requiring any software installation, account creation, or data uploads to third-party servers. Everything processes locally in your browser for maximum speed and privacy.
Supported File Types
PDF Files
PDF documents are parsed client-side using pdf.js. The tool extracts all readable text from every page, then scans for URLs within that text. This works for text-based PDFs—scanned image PDFs require OCR which is not supported in this tool.
Text Files (TXT, MD, LOG)
Plain text files, Markdown documents, and log files are read directly. Every URL in the file content is extracted regardless of formatting or structure.
Structured Data (HTML, XML, JSON, CSV)
HTML pages, XML documents, JSON files, and CSV exports are read as text and scanned for URL patterns. This catches both URLs in content and URLs in markup attributes like href and src.
How to Use This Tool
- Paste text directly into the input area. URLs are extracted automatically as you type or paste.
- Or upload a file by clicking the upload area. Supported formats include PDF, TXT, MD, HTML, CSV, JSON, XML, LOG, and more.
- Toggle "Deduplicate" to remove duplicate URLs from the results. This is enabled by default.
- Toggle "Sort A-Z" to alphabetically sort the extracted URLs for easier scanning.
- Copy individual URLs by hovering over any result and clicking the copy button, or click "Copy all URLs" to grab the entire list.
- Download as .txt to save the extracted URLs as a text file for further processing or record-keeping.
Common Use Cases
- SEO link auditing: Extract all outbound and inbound links from HTML source code or crawl reports to audit your link profile.
- Backlink analysis: Pull URLs from competitor backlink reports exported as CSV or PDF to identify link-building opportunities.
- Content migration: Extract all internal links from old website content to ensure nothing breaks during a site redesign or CMS migration.
- Research and citations: Pull reference URLs from academic papers, reports, or documentation PDFs for bibliography building.
- Log file analysis: Extract API endpoints and request URLs from server logs for debugging and monitoring.
- Social media monitoring: Extract shared links from exported social media data or chat logs.
Tips for Better Results
- Use deduplicate for clean lists. When extracting from large documents, the same URL often appears multiple times. Deduplication gives you a clean, unique list.
- Check the domain breakdown. The top domains section quickly shows you which websites are most referenced in your content.
- For PDFs with images of text, use an OCR tool first to convert the image text to selectable text, then paste the result here.
- Combine with other extractors. Use the Email Extractor and Phone Number Extractor alongside this tool to pull all contact information and links from a single document.
- Download for bulk processing. Export the URL list as a .txt file and import it into spreadsheets, link checkers, or SEO tools for further analysis.
Frequently Asked Questions
What types of URLs does this tool extract?
This tool extracts all HTTP and HTTPS URLs from your text, including URLs with query parameters, fragments, and complex paths. It uses a comprehensive regex pattern to catch standard web URLs.
What file formats are supported?
You can upload TXT, MD, CSV, HTML, XML, JSON, LOG, RTF, TEX, and PDF files. PDF files are parsed using a client-side PDF reader to extract text content, then URLs are found within that text.
Can I extract URLs from a PDF?
Yes. Upload any PDF file and the tool will extract all text content from every page, then find all URLs within that text. Note that URLs embedded as hyperlinks (not visible in text) may not be captured if the PDF doesn't include the URL as readable text.
Is my data sent to a server?
No. All processing happens entirely in your browser. Your text and files never leave your device. PDF parsing is done client-side using pdf.js.
Can I remove duplicate URLs?
Yes. The 'Deduplicate' toggle is enabled by default and removes all duplicate URLs from the results, giving you a clean unique list.
Privacy and Performance
All URL extraction happens entirely in your web browser using JavaScript. Your text and uploaded files never leave your device or get sent to our servers. PDF parsing is handled client-side using the pdf.js library, ensuring your documents remain completely private.
The tool processes text instantly as you type, and file uploads are parsed in milliseconds for most formats. Large PDFs may take a few seconds depending on page count and complexity. Whether you're on desktop, mobile, or tablet, you'll experience fast, accurate URL extraction every time.