Data TableClean and export your data
Every scrape lands in the Data Table — a spreadsheet in your own browser that fills while the run is still going, and lets you clean the result before exporting it.
Works in Chrome, Edge & Brave · No account needed
100,000+ users
4.6 on the Chrome Web Store
You never have to open it deliberately
It opens on its own for a list preview and from every tool’s progress overlay, and the DATA button in the side panel takes you back to it.
It fills up live
While an extraction runs, the open table refreshes every few seconds with a marker showing what’s new. You can pause that if the movement is distracting.
Fix it in place
Edit any cell, rename a column, change what kind of data it holds, drag it somewhere else, or join several columns into one — street, city and postcode into a single address.
Take it somewhere
Download it as a spreadsheet, an Excel file or JSON, or send it to Google Sheets. A search is applied before the export, so you can export only the rows that matched.
The cleanup nobody wants to do by hand
A raw scrape always has three empty columns, two duplicates and a column that is blank on nine rows in ten. Clearing that in a spreadsheet is twenty minutes; here it is a few clicks, and the rules are plain rules rather than a guess.
One-click cleanup
Remove empty rows and columns, drop duplicated and repeating columns, hide the mostly-blank ones. These are fixed rules, not AI guessing at your data.
Ten column types
Text, number, price, date, link, image, email, phone, address and metadata — set automatically and changeable, which is what makes sorting and exports behave.
Merge columns
Join two or more columns into a new one with whatever separator you want, without touching the originals.
Search and sort
Search across every column at once, sort on any header, and get back to the original order whenever you want.
Images you can actually see
Image columns render as thumbnails with a lightbox, and the bulk download saves all of them — or just one column’s worth — named after any column you choose.
The columns it hid
Some extractions capture more than they show. The raw data behind a scrape is kept losslessly and hidden by default; switch on debug columns to see exactly what a page published.
Where the data lives
This is the part worth reading twice, because it is the thing most scraping tools do differently.
On your computer, not ours
Rows are stored in your own browser. Nothing is uploaded unless you export to Google Sheets yourself, or choose to run the scrape in the cloud.
500 tables, no row limit
The newest 500 tables are kept by default — adjustable to 100 or 1,000 — and there is no cap on the rows inside any of them.
Which also means it’s deletable
Because it lives in your browser, uninstalling the extension or clearing your browsing data deletes it. Export anything you want to keep.
Bring your own data in
Import a spreadsheet as a new table and use the same editing, cleanup and export tools on data that never came from a scrape.
What people use it for
Every tool in the extension ends here, so this is where most of the work after a scrape happens.
Turning a raw scrape into a deliverable
Drop the junk columns, merge the address parts, rename the headers to what your team calls them, and export something nobody has to apologise for.
Getting data into another system
Spreadsheet, Excel, JSON or straight into Google Sheets — and a Shopify table also exports a file another store will import directly.
Bulk-saving images from a scrape
A scrape that captured image columns can save every one of them, named after the product or any other column you pick.
Exporting only what matched
Search narrows the table, and the export follows the search — so “only the rows mentioning London” is one box and one click.
Two minutes to your
first spreadsheet.
Nothing to configure, and no account needed to start.
Works in Chrome, Edge & Brave · No account needed
Not in Chrome right now? Several of these jobs also run as browser tools with nothing to install.
Questions about the Data Table
In your own browser, on your own computer. Nothing is uploaded to us unless you export to Google Sheets yourself or choose to run the extraction in the cloud. The flip side is that clearing your browsing data or uninstalling the extension deletes it, so export anything you want to keep.
There's no row cap on a table. The newest 500 tables are kept by default, which you can set to 100 or 1,000 in settings.
CSV, Excel, JSON and Google Sheets. A table produced by the Shopify Extractor also offers a file in Shopify's own import format. Any search you've applied is honoured by the export, so you can export just the matching rows.
Yes. Edit any cell, rename columns, change a column's type, reorder or delete columns, and merge several columns into one — for example street, city and postcode into a single address. One-click cleanup handles empty rows, duplicate columns and mostly-blank ones.
No — two tables can't be merged into one. Merging works within a single table, joining columns together. If you need one table, run the extraction as one job.
Not in the extension — the cleanup here is rule-based and predictable. Asking an AI assistant to rename, retype, merge or delete columns works on cloud tables, through our AI connection.