Down the Whole Tree
Pull the current Best Sellers Rank for each ASIN that carries one, beside its price and rating — one row per product. Anything Amazon doesn't rank comes back without a number, not a guess.
See whether your product is climbing or sliding in its category — build the rank history on your own file, run to run.
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.
Pull the current Best Sellers Rank for each ASIN that carries one, beside its price and rating — one row per product. Anything Amazon doesn't rank comes back without a number, not a guess.
AllyHub doesn't keep your history on its server. Point each run at your own spreadsheet and it appends today's rank, so the time series is a file you hold, not a subscription you rent.
Ask it to compare with your last run and it marks which ASINs climbed, slipped, or newly entered the ranking — the change, not just today's snapshot.
Follow a set of ASINs together — your own and your rivals' side by side, up to about 20 in one run — the whole race in a single file, not page by page.
Because Best Sellers Rank is public on the product page, AllyHub reads it for any ASIN — a competitor's as easily as your own — without an Amazon seller account.
Every run writes back as CSV or into your spreadsheet, the same columns each time, with no Amazon API and no code — ready to chart or diff however you like.
One category link becomes a full-tree product dataset in three steps.
Give AllyHub the ASINs you want to follow — your own, competitors', or both — and the file you want the history kept in.
For every ASIN it captures the current Best Sellers Rank, category, price, and rating, appends the row to your file with today's date, and notes any that Amazon doesn't rank.
Re-run it whenever you want the next data point — or save it as a Playbook to trigger again — and ask it to flag what changed since last time.
Where competing category scrapers stop, and what stopping there costs you.
Every other tracker stores your rank history in its own database — cancel, and it's gone. AllyHub writes to a file you keep, so the record outlives your subscription and moves wherever you do.
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Seller-Central tools only show the ASINs you own. Because AllyHub reads the public rank off any product page, you can follow a competitor's trajectory as closely as your own — no access to their account, nothing they'd notice.
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Price-history sites bury sales rank as one faint line on a dense chart, often behind an upgrade. AllyHub gives you a plain rank-and-change column you generate on demand — the number you came for, in a file you can sort, not a graph you scroll.
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Save the run as a Playbook and each repeat skips setup and goes straight to the ranks. Because your AllyHub never starts from scratch again, keeping a weekly history costs less every time you run it.
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Analysts, launch teams, buyers, and sourcing scouts who need the category whole, not sampled.
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.
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.
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 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.
Best Sellers Rank is the number Amazon puts on a product to show how well it sells in its category — lower means faster-moving. A sales rank tracker records that number over time, so you can see a product trending up or down, not just where it sits today.
Yes — a single rank check is free. Following a set of ASINs, re-running to build a history, and writing back to a file are covered by paid plans.
It doesn't hold it for you — each run appends to a spreadsheet you own. That's deliberate: your history isn't locked inside someone's account, so it survives whether or not you keep paying.
No — AllyHub doesn't watch in the background or push notifications. You trigger each run, and it flags what changed since the last one in your file. You decide when it checks.
Amazon refreshes Best Sellers Rank roughly hourly from recent and historical sales in a category, so a single reading swings a lot day to day. That's exactly why a trend across several runs tells you more than any one number.
Keepa archives years of price and rank for you to scroll; a sales estimator turns one BSR into a guessed unit count. AllyHub does neither — it builds a focused rank history on your own file and, kept as a Playbook, gets faster every time you run it.