The Full Row
Everything the listing page puts on screen comes back as structured columns — the same shape every run, ready to sort, filter, or drop into whatever you already use.
Turn TikTok Shop listings into rows you can sort — price, rating, units sold, and every variant on its own line.
TikTok Shop prints the numbers a buyer decides on — rating, review count, units sold — and then gives you no way to line them up side by side. AllyHub reads what a listing displays and returns it as a row, each variant separately, across a set of products or a category page, with no login and nothing to install.
Everything the listing page puts on screen comes back as structured columns — the same shape every run, ready to sort, filter, or drop into whatever you already use.
A listing with six sizes is six different prices and six stock positions. AllyHub gives each SKU its own line instead of collapsing the product down to whatever the default option happens to cost.
TikTok Shop shows how many a listing has actually sold alongside its rating and review count. All three land in the table, so demand isn't something you have to infer from position.
Hand over a set of product links, or point it at a category or search page, and every listing visible there comes back in the same run.
Take it as CSV, xlsx, or JSON, with the column order held steady between runs so a file from today lines up against one from last month.
Store the run as a Playbook and repeat it on the same products, then ask AllyHub to compare the two pulls when you want to see what moved.
From a TikTok Shop link to a sortable product table in three steps.
Paste product links, or give it a category or search page, then say which fields you want in the output.
It returns title, price, description, images, shop name, product link, rating, review count, units sold, and each SKU or variant, plus stock and shipping where the listing shows them.
Download the table, push it into your own tooling, or save the run as a Playbook to repeat on a cadence you set.
Most scrapers hand back a product name and a price. The decisions live in the columns after that.
On most marketplaces you estimate sales from rank and guesswork. TikTok Shop publishes units sold on the listing itself, and AllyHub brings that number into the table beside price and rating — so ranking a shortlist by what people actually bought takes a sort rather than a model.
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A scraper that stores one price per product quietly loses the range. When the small size is half the price of the bundle, a single figure misreads the listing entirely, and every SKU keeping its own row is what makes the price column mean anything at all.
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AllyHub takes what a listing publicly displays, and nothing beyond it. No login is involved anywhere in the run, which is convenient — and also means whatever a shop keeps behind a sign-in stays out of your table. What you get is the page a shopper sees, captured.
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Your first pull is where AllyHub learns how TikTok Shop lays its pages out. After that your AllyHub never starts from scratch again — the same product set returns in the same columns without re-explaining it, and it gets faster every time.
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Data teams, brand protection, agencies, and pricing analysts who need TikTok Shop listings as rows rather than tabs.
Your product database covers three marketplaces and TikTok Shop isn't one of them, because nobody wants to maintain another parser. Pull uniform rows on a schedule and the feed lands in the warehouse beside the others.
Someone is selling your product on TikTok Shop and you found out from a customer. Watch the listings carrying your name, catch the price that undercuts your own channel, and see which shop is behind it before the quarter closes.
The client wants a competitive price sheet by Friday and the data sits in a category you'd have to scroll for hours. Pull the category into a table, sort it, and spend Friday writing the recommendation instead.
You set a price in a category that moves weekly and you're checking it by eye. Track the same product set on a cadence, compare the pulls when you ask for it, and see where the band has drifted since you last looked.
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Fields, limits, and what happens on a second run.
It collects the data a TikTok Shop listing puts on screen and returns it as structured rows rather than tabs you scroll. AllyHub covers price, rating, review count, units sold, and each variant, across one product or a whole category page.
Yes — a handful of listings is free on the standard plan. Paid tiers open up whole-category pulls, repeat runs on a schedule, before-and-after comparisons, and bulk export.
Stock and shipping, on the listings that don't print them. TikTok Shop shows those on some products and not others, so AllyHub leaves the cell empty rather than estimating it — an empty column is information, and a guessed one isn't.
CSV, xlsx, or JSON, whichever your pipeline swallows most easily. Ask for the format up front and the run delivers straight into it, with the same columns in the same order as the last time you ran it.
This one hands you the data; the research tool is the one that reads a category and comes back with a view on what's worth selling. Use this when you already know which products you care about and want them in a table you control.
Most collapse variants into one price, skip the sold count, and re-learn the page layout on every run at the same cost. AllyHub keeps each SKU separate, carries the numbers TikTok Shop publishes, and returns the same columns without re-explaining what you wanted.