converters · September 4, 2026
Extracting Data From HTML — Meta Tags and Tables to CSV or Excel
HTML pages carry two kinds of data that are useful outside the browser but painful to pull out by hand: metadata in the `<head>` that controls how a page looks when shared, and tabular data buried inside `<table>` markup.
Why meta tags matter
Title tags, meta descriptions, canonical URLs, and Open Graph tags determine how a page appears in search results and social media previews — but they're scattered across a page's `<head>` in a format that's tedious to scan by eye, especially across dozens of pages during an SEO audit. The HTML Meta Tag Extractor parses pasted HTML source and pulls out the title, meta description, canonical link, and all Open Graph and Twitter Card tags into a clear, readable list — useful for auditing whether a page's social preview is actually configured correctly before it ships.
Pulling tables out of HTML
Tables inside HTML — scraped from a webpage, exported from a reporting tool, or copied out of an email — are common but awkward to work with directly. Copy-pasting a rendered table often loses its structure, and the raw markup isn't something you can filter or sort. The HTML Table to CSV and HTML Table to Excel tools take the raw `<table>` HTML and convert it into properly structured rows and columns, ready to open in a spreadsheet or import into another tool.
Where this comes up in practice
- An SEO audit checking that every page on a site has a unique title and meta description before a migration.
- Verifying Open Graph tags are set correctly so a shared link previews properly on social platforms.
- Pulling a pricing or comparison table out of a competitor's website, or your own CMS export, into Excel for analysis.
- Extracting a table from an HTML email report into CSV for further processing in a script.
Choosing CSV or Excel
If the table data is headed straight into another tool or script, CSV is usually the simpler choice. If a person needs to review, format, or share the result, Excel keeps column widths and works better for manual review — both tools do the same table-parsing, just with a different output format, so the choice comes down to who or what consumes the file next.
Why this beats copy-pasting by hand
Selecting and copying a rendered HTML table directly out of a browser often loses its row and column structure entirely, dumping everything into a single unformatted block of text once it's pasted into a spreadsheet. Working from the raw HTML source instead — View Source, or a saved .html file — keeps the original table structure intact, which is what lets these tools rebuild proper rows and columns instead of guessing at where one cell ends and the next begins.
Runs entirely client-side
Pasting HTML source — sometimes from an internal or unpublished page — never leaves your browser. Both the meta tag extraction and table conversion happen locally, with nothing uploaded to a server.
Try them
Audit a page's metadata with the HTML Meta Tag Extractor, or pull table data out with HTML Table to CSV or HTML Table to Excel.