URL to Excel
Every table on a page, as a spreadsheet.
Free · No sign-up · Files deleted in 1 hour
How to URL → Excel
- Paste the URLGive it the address of a page that contains the tables you want.
- ConvertEvery table on the page is detected and read, with the first row treated as the header.
- Open in ExcelDownload an XLSX with one worksheet per table and numbers typed as numbers, not text.
Pull Every Table from a Webpage into a Spreadsheet
Point it at a page full of data and it finds every table on it, reads each one, and hands you a workbook with a worksheet per table. The first row is treated as the header, and numbers arrive as numbers — currency and percentages keep their type instead of landing as text you have to clean up.
It suits the pages people otherwise copy by hand: reference tables, statistics pages, price lists, fixtures and results. Each worksheet is named after the table it came from, so a page with several is still navigable once it is open.
Only the tables are extracted; the surrounding article is ignored. It is free to use from a desktop or phone browser with no sign-up, and fair use allows up to 20 extractions every 15 minutes. Nothing is retained: the page and the workbook are deleted an hour after the conversion.
- Finds every table on the page automatically, no selectors to write
- One worksheet per table, named after its source
- First row detected as the header row
- Numeric, currency and percentage values keep their type
- No scraping setup, no browser extension, no code
Frequently asked questions
What if the page has more than one table?
Each becomes its own worksheet in the same workbook, named after the table it came from, so you can move between them in Excel without them being merged into one sheet.
Do numbers come through as numbers?
Yes. Values that read as numeric — including currency amounts and percentages — are written with a numeric type, so you can sum and sort them immediately rather than converting a column of text first.
Will it work on a page where the table is drawn with divs?
Usually not. Detection looks for real table markup, which is what most data pages and reference sites use; a layout assembled from styled divs has no table for it to find.
Can I use this instead of writing a scraper?
For a one-off extraction, yes — there is nothing to install and no selectors to maintain. For a table you need on a schedule, a purpose-built scraper is still the better tool.