Compare products without copying rows by hand
Turn a product listing, specification sheet or search results page into a clean, comparable table: prices, specs and options lined up in columns.
Three steps.
- 01Open the product listing or comparison page
- 02Click Extract Page
- 03Export to Excel, CSV or JSON
Compare products from a listing page, in a table that sorts
Pulse recognizes repeated, comparable items on a page (products, specifications, options) and turns them into a genuine table instead of a wall of text, with a plain language summary (like the lowest price) leading the result when the data supports one.
The difference between a table and a screenshot of a table is whether the values are still numbers. A price extracted as text sorts alphabetically, which puts 1,299 below 199 and quietly ruins the comparison you opened the page to make. Pulse keeps prices, quantities and measurements as typed values, so the Excel and CSV exports sort and filter the way a spreadsheet expects, and a formula written against the column returns something meaningful.
Comparison work is rarely one page, and Pulse is deliberate about that. It reads the page you are actively viewing, when you click, one page at a time: there is no crawler working through a list of URLs in the background. In practice you extract each listing you are already comparing and combine the exports, which keeps you inside the terms of the sites you are using and leaves you with a single workbook rather than fourteen open tabs.
What counts as comparable on a page?
Repeated items that share attributes: products in a listing, variants in a specification table, options in a set of results. Each becomes its own row with real, typed fields rather than a wall of text.
Does it summarize as well as tabulate?
Where the data supports a plain statement, such as the lowest price on the page, the result leads with it. Where it doesn't, you get the table without an invented headline.
Which export suits a comparison best?
Excel or CSV, because the values stay typed and sortable. JSON is there when you want to hand the result to something else.
Why do prices sort correctly in the export?
Because they are extracted as numbers rather than as the text that happened to be on the page. A price held as text sorts alphabetically, which is how 1,299 ends up below 199 and a comparison stops meaning anything.
What about a listing spread over several pages?
Pulse works on the page you are viewing, when you click, so you extract each page you are already looking at and combine the exports. There is no background crawler queueing URLs on your behalf.
What happens when the items on the page are not really comparable?
You get what the page actually supports rather than a forced grid. Pulse looks for repeated items that share attributes; where a page has none, it returns the page's key fields as one clean record instead of inventing rows.
Can I compare specifications rather than prices?
Yes. A specification sheet is the same shape of problem: repeated attributes across variants. Those become columns, so two models can be read side by side instead of by scrolling between two tabs.
Explore more.
Step by step: How to extract data from a website to Excel · How to extract tables from websites
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Turn this page into a structured result.
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