Paginated data, collected deterministically.
Most collection is one query and many pages. Reasoning about every page is slow and expensive when page two looks exactly like page one.
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Why pagination is where cost hides
- Every page re-reasoned is a model call you didn't need.
- Naive collection stops early and nobody notices.
- Merging pages wrongly silently loses rows.
- "Did it get everything?" is usually unanswerable.
How Browza collects
One reasoning pass, then repetition
Once page one is understood, later pages are read with the same proven structure at zero model cost.
Accumulated, not overwritten
Rows are combined by content across pages, so a later page cannot silently replace an earlier one.
Stops are named
Limit reached, no next page, left the host, page not readable — you always know why it ended.
Bounded
A page cap prevents a runaway walk through an infinite list.
How you'd call it
A goal and a schema over HTTP — no selectors to maintain and no browser fleet to run.
“Ask for an exhaustive list or a specific count, and the run pages until the limit is met or a named stop condition fires.”
Questions people ask
How do I know it got everything?
The run reports the stop reason and the page count. "No next page" and "hit the cap" are different answers, and you get the right one.
Does it cost more per page?
Not meaningfully — that's the point. Extra pages are read deterministically with the structure page one proved.
What about infinite scroll?
Handled as its own reading pattern, with the same accumulate-don't-overwrite rule.
Related use cases
What will you hand over?
Start with one task. Watch it run, take the wheel whenever you want, and keep the ones that earn their place.