Point at a Node
Hand AllyHub a CSV or Excel file — up to 50MB — and tell it, in plain words, what you're trying to learn.
Point AllyHub at a messy spreadsheet and get answers back — cleaned, computed in code, and charted, without touching a formula.
One category link becomes a full-tree product dataset in three steps.
Hand AllyHub a CSV or Excel file — up to 50MB — and tell it, in plain words, what you're trying to learn.
It tidies the data, writes and runs the code to work out your answer, checks the result, and builds the charts — all without you touching a formula.
Read the findings and charts, ask a follow-up, or export the report. Save the analysis as a Recipe so the same questions run on next month's file.
Below, in order: how deep the crawl goes, what shape it returns in, how you narrow it, which stores it works on, what you can do with the file, and what a second sweep adds.
Drop in a CSV or Excel file up to 50MB and ask what you want to know in plain English — no formulas, no SQL, no pivot tables to wire up first.
When a question needs real computation, AllyHub writes and runs the code to get the answer, so a number is calculated from your rows, not guessed by reading them.
Duplicates, blank cells, mismatched date formats, stray outliers — AllyHub flags and fixes the usual spreadsheet mess before it analyzes, so the answer isn't built on dirty data.
It turns the findings into charts — trends, breakdowns, comparisons — rendered in an HTML report you can read at a glance instead of squinting at a table.
You get the conclusion written out — what's up, what's down, what correlates — not an empty BI canvas waiting for you to drag fields around and work it out yourself.
Go past averages into correlations, segments, and regressions; and where you ask about what's next, AllyHub is clear that a projection is an estimate from your data, not a certainty.
Analysts, launch teams, buyers, and sourcing scouts who need the category whole, not sampled.
The pain: someone asks how big this category is and you have an impression, not a number you trust. Work from the full node instead and the answer is countable — how many products, at what price tiers, with what review depth behind them.
The pain: you are about to commit a first order into a category you have only browsed. Size the field before the money moves, and read what it actually takes to get seen here rather than discovering it from a listing nobody finds.
The pain: assortment shifts every quarter and your evidence is last quarter's screenshot. Keep dated sweeps of the same node and shelf movement becomes something you can show a supplier, not something you argue about from memory.
The pain: the gaps you find are the ones you happened to scroll past, which means the best one is probably still sitting there unseen. Read the whole node and the thin spots surface because you covered everything, not because you got lucky.
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Questions that come up when a browse node turns out bigger than it looked.
A browse node is Amazon's own filing system for products. A category scraper returns what is filed under one as structured data, instead of the handful of listings a browse page puts on screen — so the output is something you can group and measure, not something you scroll.
Yes. Smaller nodes cost nothing on the free plan. Deep sweeps across a large tree, scheduled snapshots, and crawls that feed another system sit on the paid plans.
Complete, and size is not the variable. A bigger node takes longer and uses more credits, but it does not come back with less in it — the row count that lands is the node's own, not a tool's ceiling.
Yes, and the filter applies before the crawl rather than after it. Name a price band, a rating floor, or Prime-only when you start, and AllyHub simply doesn't collect what falls outside it — so the file that lands is already the slice you wanted.
Other category scrapers start every sweep from zero and charge the same for it. AllyHub keeps the map it built, so a repeat sweep is a re-run rather than a re-discovery. It builds on what it already knows, and repeat coverage gets cheaper as the history grows.