Hand Over the Titles
Give AllyHub a book URL, ISBN, ASIN, or list — or name a Books subcategory when you want the whole shelf rather than a handful of titles.
Know which edition you're actually looking at, and where it really ranks, before you price or buy.
Three steps from a title, ISBN, or shelf to a structured bibliographic record.
Give AllyHub a book URL, ISBN, ASIN, or list — or name a Books subcategory when you want the whole shelf rather than a handful of titles.
For each title AllyHub captures author, publisher, publication date, page count, language, the three identifiers, and every format the listing offers with its own price, rating, reviews, and rank.
Export the rows as JSON or CSV, or save the run as a Playbook that repeats on a schedule.
A book is three identifiers, several editions, and two ranks that rarely agree, scattered across a page that shows one edition at a time. Below: what identifies it, what it costs, where it ranks, and how far one run reaches.
ISBN-10, ISBN-13, and ASIN each land in their own field, already distinct — three separate columns in every row you export.
Where a listing offers a format switcher, Kindle, paperback, hardcover, and audiobook come back as separate rows — each carrying its own price and its own Books rank.
You get the overall Books rank next to the subcategory positions, with rating and review count alongside, so a title's standing in the niche it actually sells in shows up.
Hand over a title, a product URL, an ASIN, or an ISBN — one book or a bulk list, with no per-source setup for either.
Your rows export to JSON, CSV, or the API in an identical structure, whether the title came from the US, UK, German, or Japanese catalog.
When one title isn't enough, point AllyHub at a Books subcategory and the ranked list comes back with per-title records attached.
Who needs a book broken out edition by edition — and what it costs them when it isn't.
The pain: your paperback is selling and you have no idea whether that means anything, because the five titles you measure yourself against sit behind five browser tabs you re-open every Monday. Put the comparison in one sortable export and the next print run gets priced against evidence.
The pain: a rights renewal comes up and nobody can say whether the backlist title earned it — the answer is spread across a hundred separate listings in four territories. Pull the catalogue as one dataset and that conversation starts from numbers instead of instinct.
The pain: a lot is priced to move today, and the ISBN printed in a used copy often doesn't match the ASIN its listing sells under — so you price against the wrong edition without knowing it. Match every copy to its real edition in one pass, before the window closes.
The pain: building a bibliography means retyping author, publisher, date, and ISBN, and a transposed digit stays invisible until something downstream breaks. Take the fields as structured data and there is no retyping step left to introduce the error.
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Identifiers, editions, and where Books rank actually comes from.
It is a tool that turns a book's listing into structured fields — the identifiers, the bibliographic detail, and where the title sits in Amazon's Books rankings. Instead of reading a product page you get a row you can sort and import.
Yes. Looking up one title, or a short list, costs nothing. Bulk runs and anything you schedule to repeat sit on the paid plans, along with the saved workflow behind them.
No database subscription, no developer account. Everything is read off public Amazon pages, so there is nothing to apply for and nothing to install. An ISBN list in a spreadsheet is a perfectly good starting point. The API exists for teams who want to schedule the pulls; it is not a prerequisite for running one.
Start a book scraper from scratch every week and you pay full price for the same exploration each time, with nothing to compare this week against. Because a saved run builds on what it already knows, the weeks line up into a series you can chart — and the tracking gets cheaper the longer you run it.