The HTML Tag Extractor scans raw HTML source code and produces a clean inventory of every unique tag name it contains, along with a count of how many times each one appears. Instead of scrolling through hundreds of lines of markup, you get a compact table that shows exactly which elements build the page and how heavily each is used.
It is designed for front-end developers, accessibility auditors, SEO specialists, and students learning how documents are structured. Understanding the mix of tags on a page helps you spot bloated markup, confirm that semantic elements like header, main, nav, and footer are present, and catch deprecated or unexpected tags that may have slipped in from a copy-paste or a legacy template.
Everything runs locally in your browser using JavaScript, with no upload, no account, and no server round trip. Paste your markup or upload an HTML file, choose whether to include closing tags and how to sort the results, and the tool builds the table instantly. Because nothing leaves your device, you can safely inspect confidential internal templates and private page source.
Features
- Detects every distinct tag name in the markup, from common elements like div and span to rare or custom ones.
- Counts how many times each tag appears so you can see which elements dominate the document structure.
- Offers an option to include closing tags separately when you want a raw occurrence view of every angle bracket.
- Sorts the results by frequency to surface the heaviest elements first, or alphabetically for quick lookup.
- Ignores commented-out markup so tags hidden inside HTML comments never inflate your counts.
- Reports summary statistics for unique tag count and total tag occurrences across the whole document.
- Exports the finished table to CSV or XLSX, or copies it to your clipboard for pasting into a report.
How to use HTML Tag Extractor
- Paste your HTML source into the input box, or upload an .html, .htm, or .txt file from your device.
- Decide whether closing tags should be counted separately using the include closing tags checkbox.
- Pick a sort order, choosing frequency to rank the busiest elements or name for an alphabetical list.
- Read the generated table to see each unique tag alongside the number of times it occurs.
- Check the stats panel for the total number of unique tags and the total tag occurrences found.
- Export the table to CSV or XLSX, or copy it to your clipboard for documentation or an audit.
Benefits
- Developers quickly audit the structure of a page and identify overused wrappers or redundant nesting.
- Accessibility reviewers confirm that semantic landmark elements are present rather than generic divs.
- SEO specialists check that heading tags and structural elements exist in the expected proportions.
- Educators and learners see a plain summary of which elements a real-world page is actually made from.
- Teams migrating templates verify that deprecated or non-standard tags are not lingering in the markup.
- Anyone reviewing untrusted snippets can inventory the tags safely without loading them into a browser.
A tag inventory is one of the fastest ways to understand an unfamiliar page. If a document shows dozens of div and span entries but almost no semantic elements, that is a strong hint the markup is presentation-driven rather than structured for accessibility and search engines. Conversely, a healthy count of header, nav, main, section, article, and footer tags suggests a well-organised document that assistive technology and crawlers can navigate.
The optional closing-tag view is useful when you want the literal count of every element open and close, for example when estimating how balanced the markup is. For most audits you can leave it off and read only the opening tags, which map one-to-one to the elements actually rendered. Comments are stripped before counting, so template scaffolding or disabled blocks left inside comment markers never distort your numbers.
All parsing happens in your browser with a lightweight regular-expression scanner, so nothing you paste is uploaded, logged, or stored. Because it is pattern based rather than a full browser parser, extremely malformed markup may occasionally miscount, but for real-world pages and templates the inventory is accurate and instant. Pair it with the CSS Class Extractor and HTML ID Extractor for a fuller picture of a document.