Paste any HTML containing <table> elements
Ready to extract
Paste HTML with <table> tags and click Extract CSV// extract tabular data from html tables into csv
Convert HTML table elements to CSV instantly. Paste any HTML with table tags and extract clean, downloadable CSV data — free, browser-based, no upload needed.
Ready to extract
Paste HTML with <table> tags and click Extract CSVPaste any HTML snippet or full page source containing <table> elements.
Toggle header inclusion, whitespace trimming, and delimiter style.
Click Extract CSV — each table appears with a preview and download button.
This tool parses HTML markup and extracts every <table> element it finds, converting each row into a comma-separated line. It handles complex tables including those with colspan and rowspan attributes, and outputs clean, Excel-compatible CSV files.
Yes. The tool finds every <table> element in your pasted HTML and converts each one to a separate CSV block with its own download button.
Yes. The extractor expands colspan cells by repeating the value across columns, and handles rowspan by carrying values forward across rows — producing a flat, accurate CSV representation.
No. Everything is processed entirely in your browser using JavaScript. Your HTML content never leaves your device — there are no server requests for the conversion.
Absolutely. Paste the entire page source — the tool will scan through the markup and extract only the <table> elements, ignoring everything else.
By default, the tool uses a comma (,) as the delimiter. You can toggle to semicolon (;) using the option above the convert button — useful for European locale spreadsheets.
Yes. Any cell value that contains a comma, quote, or newline is automatically wrapped in double quotes and internal quotes are escaped — following standard RFC 4180 CSV formatting.
When "Include header row" is checked, <th> cells and the first row inside <thead> are placed at the top of the CSV. You can uncheck this to export data rows only.
Files are named table-1.csv, table-2.csv, etc. based on the order they appear in your HTML. If the table has a data-title or an immediately preceding <caption>, that name is used instead.
An HTML Table to CSV converter is a tool that reads raw HTML markup containing <table> elements and transforms each table's rows and cells into the CSV (Comma-Separated Values) format. CSV files are plain text, universally understood by spreadsheet applications like Microsoft Excel, Google Sheets, and LibreOffice Calc, making this conversion an essential step when you need to work with web-sourced tabular data.
This tool performs the extraction entirely in your browser — no file uploads, no server processing. Simply paste HTML source code (a snippet or an entire web page), configure a few options, and download clean CSV files ready for import.
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Under the hood, the tool uses the browser's native DOM parser to parse your HTML string into a document tree — the same engine that powers web rendering. It then queries every <table> element and iterates over its rows (<tr>), collecting cell values from <td> and <th> elements.
For tables with merged cells using colspan, the tool repeats the cell's value across the appropriate number of columns to preserve alignment. For rowspan cells, it tracks which cells span multiple rows and carries the value down into subsequent rows — ensuring your CSV rows always have the correct column count.
Finally, each cell value is checked for characters that require quoting in CSV — commas, double-quotes, and newlines — and wrapped accordingly, compliant with the RFC 4180 standard that Excel and most parsers expect.
Web scraping and data collection: When you copy-paste or view-source a web page containing price tables, product comparisons, or statistics, the raw HTML comes with all its markup intact. Rather than manually copying values cell by cell, paste the full source here and download structured CSV in seconds.
CMS and platform migrations: Content management systems often store tables as raw HTML in their database. When migrating content to a new platform, you may need the data in CSV format. This tool bridges that gap without requiring custom scripts.
Report generation and analysis: Financial reports, sports statistics, and research tables published on the web as HTML can be extracted, cleaned, and imported directly into spreadsheet tools for further calculation, charting, or pivot analysis.
Documentation and archiving: Technical documentation sometimes embeds large reference tables — keyboard shortcuts, API parameters, configuration options. Extracting these as CSV makes them easier to search, filter, and reference programmatically.
A well-formed HTML table uses a predictable hierarchy: the <table> element contains optional <thead>, <tbody>, and <tfoot> sections, each of which holds <tr> row elements. Within rows, <th> marks header cells and <td> marks data cells.
Real-world tables in the wild are often messier — missing semantic sections, inconsistent use of <th>, or deeply nested inside <div> wrappers. This tool handles all of these cases by looking for any element matching the table tag, regardless of its surrounding context.
The generated CSV follows RFC 4180 conventions: fields are separated by commas (or semicolons when selected), records are separated by CRLF line endings, and fields containing special characters are enclosed in double quotes. This ensures compatibility with:
pd.read_csv() with default settingsread.csv()If a table renders incorrectly, check the HTML for tables-within-tables (nested tables). The tool processes the outermost <table> elements and their direct descendants — nested tables are treated as separate tables in the output.
Tables using CSS display properties to fake table layouts (e.g., display: grid or display: flex on <div> elements) will not be detected — the tool only processes actual <table> HTML tags. For those cases, the HTML Stripper or a regex-based approach may be more suitable.
When pasting from "View Source" on a web page, look for the <table> opening tag and paste from there to include only the relevant portion. This reduces parse time and avoids unrelated content cluttering the output label.