Name the List
Paste the URL of the ranking page you want, or just say the category in plain language. That is the whole setup.
A ranking page shows you where every product stands today, then resets the moment you close the tab. Take the ranking with you instead.
From one ranking page to a sortable bestseller dataset in three steps.
Paste the URL of the ranking page you want, or just say the category in plain language. That is the whole setup.
It walks the list end to end, capturing each entry's position, title, ASIN, price, rating, review count, and thumbnail — one uniform row per product.
Chart the review spread, cut it down to one price band, or hand it straight to your product research. Save it as a Playbook and it re-runs on your schedule.
Amazon publishes the order and nothing that lets you work with it. Below, in order: what the list becomes, which lists you can point at and what each one carries, where it runs, how it leaves AllyHub, and what happens when you come back next week.
Every entry arrives as its own row with its rank position kept intact, so a list you could only scroll from top to bottom can be sorted, filtered, and cut by anything in it.
Demand shows up on Amazon's newer ranking lists well before it reaches the one everybody reads. Point AllyHub at whichever of the five carries the signal you need.
On Movers & Shakers, the percentage Amazon prints beside each product — the change it has already calculated — comes through in the same row as the rank, not lost in the layout.
Run it on amazon.com, .co.uk, .de, .co.jp, or any other Amazon domain. Same input, same output shape, no per-locale setup and nothing to reconfigure between stores.
Take it out as JSON or CSV, or pull it straight from the API. The field structure holds steady between runs, and nothing here needs code or Amazon API credentials.
Save the pull and schedule it. Tell it to compare against the previous run and you get the climbers, the fallers, and the names that weren't on the list before.
Sellers, dropshippers, analysts, and affiliate publishers who need the ranking as data, not as a page.
The pain: by the time a product is visibly a bestseller, the window has closed and someone else got there at half the ad cost. Read the earlier lists instead and weigh candidates against each other on one screen — while the category still has room for another entrant.
The pain: your trend research is you, refreshing the same tabs each morning, working from yesterday's list. Hand the refreshing to a schedule and spend your time on what to actually list, not on re-reading a page that changed while you slept.
The pain: you can describe how a category shifted, but the evidence is a screenshot you cannot cite. Keep dated, structured rankings instead, and the shift becomes something you can chart, defend in a deck, and hand to someone else to verify.
The pain: every "best X" roundup rots, and re-checking every entry by hand is why yours is four months stale. Pull the current ranking with what each product now costs and how well it is reviewed, and refreshing a post becomes a task you finish before lunch.
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What sellers ask before pointing AllyHub at a ranking page.
It collects the products Amazon ranks in a given category and returns them as structured rows instead of a page you scroll. AllyHub keeps each entry's placement intact alongside the details the list shows, so the ranking arrives ready to sort, filter, and hand to whatever you use next.
Yes. Pulling a single ranking list costs nothing on the free plan. Scheduled tracking, larger recurring pulls, and pipelines that feed another tool are covered by paid plans.
Best Sellers, New Releases, Movers & Shakers, Most Wished For, and Most Gifted. Each is a ranking page with its own signal — New Releases and Most Wished For lean toward demand that is still forming, while Best Sellers reflects what already sells.
As many as Amazon publishes on that list. The ceiling belongs to Amazon, not to the scraper — no tool can hand back an entry the site never shows. What changes is the form: the whole ranking arrives as clean rows instead of several pages of clicking.
Most tools work out the page layout again on every run and bill the same amount each time. AllyHub keeps your pull as a Playbook: once it has learned this ranking page, the next Monday's pull is extraction only. It builds on what it already knows and delivers better results over time.