Point it at a TikTok Shop category - or paste a product page - and get the listings back as rows: name, price, currency, availability, brand, sku, mpn, gtin, rating, reviews, image, link and description. This is the catalogue side of TikTok, read from the structured data the pages publish, on the same fifteen columns as every other retailer on this tool.
The input is the page, not the item number - you name the Shop categories, searches or products you want, and the job reads what each listing publishes.
One row per product, each tagged with the query it came from - so a run across a dozen categories still reconciles back to your input list.
The input this one is set up for is a Shop category page - everything filed under a heading like computers & office equipment - rather than a URL you already had to find. One line becomes a shortlist, and the limit per query decides how much of it you take.
TikTok Shop is one of sixteen storefronts behind a single products scraper, so its export carries the same fifteen names in the same order as Staples, Tesco or Zoro. Put a social-commerce catalogue next to a high-street one in the same table and the comparison needs no reshaping at all.
Every request goes out through the shared proxy pool rather than your own address. TikTok is not one of the retailers the platform flags as needing a residential connection - Lowes, Grainger, Zalando and Fastenal are - so the default pool is what this one runs on.
Each row is one listing as the Shop publishes it: what it is called, what it costs, who makes it, how it is identified and what the page says about it.
The fields come from the structured data on the page rather than from scraping the layout, which is what makes the shape stable across a whole category - and also what bounds it. A field the storefront does not publish does not appear, no matter how the run is configured. The column list below is the header row of real run exports and the platform's own published list, which agree exactly; read the note under it before you write a parser, because it explains what this page will and will not tell you.
The export's header row, in order, confirmed against the platform's published column list. Descriptions say what each field is for; they claim nothing about its format or how often it arrives filled - see the note underneath.
currency, not in this column.Read this dictionary as a list of names, not a promise about contents. The fifteen names and their order are solid - the published column list and the header row of every archived run of this scraper agree exactly. What is not settled is what arrives in them for TikTok Shop, because we hold no populated TikTok export: the runs we have are either empty or from a different retailer on the same shared tool, and one storefront's structured data tells you nothing reliable about another's. That is also why the mechanism matters more here than a format would: the fields are read from the structured data the listings publish, so the export is exactly as complete as that is. query and service are the exceptions - the scraper writes those itself, so they are on every row regardless. And one expectation worth setting before you start: these fifteen columns are a catalogue, not a social graph. There is no creator, no video, no view count and no hashtag here, because none of those is in this schema. If a category on the free tier is cheap enough to try, run one and look before you build.
A list of URLs and a limit. The input accepts a Shop category, a search or a single product, and the limit is what decides the size and the cost of a run.
A few examples of how teams use social-commerce catalogue data to answer a question they actually have.
Pull the categories you sell into and put the published prices next to your own. Social commerce prices are not always the same as the ones on a traditional storefront, and the gap is either your opportunity or your problem.
Because every retailer on this tool exports the same fifteen columns, a TikTok Shop pull and a high-street pull stack in one table with no reshaping. Join on mpn or gtin rather than the stock code, which every seller assigns differently, and the same item lines up across both.
Search or browse the categories your brand belongs in and read the brand and seller stock codes that come back. Marketplaces are where unauthorised listings surface first, and a scheduled re-run turns that into a diff rather than a discovery.
No subscription, no minimum, no recurring bill. Your first 500 rows are on us - after that, pay-as-you-go at the same flat rate as every other scraper here.
Every new account, one-time. No credit card required. Per-query limits, file upload and every export format included.
Roughly $2 per 1,000 products. The pre-flight estimator shows the row count and credit cost before a run starts - no surprise bills, no compute units to translate.
Volume pricing, dedicated workers and an SLA for continuous monitoring or very large catalogue pulls. Tell us your numbers and we will quote.
LIVESCRAPER10 at checkout.The part of TikTok this one is not. If you came looking for creators and accounts rather than a priced catalogue, that is the service you want - different schema, different question.
A traditional catalogue on the same shared tool, with the same fifteen columns in the same order - which is what lets a social-commerce pull and a high-street one sit in one table.
Short answer: yes for the public catalogue - and this export contains no account, no customer and no order data.
The fields collected here are the ones a Shop listing publishes in the structured data on its own public product pages, for search engines and shopping tools to read. Name, price, availability, brand and identifiers are shown to anyone who opens the page, signed in or not. Collecting publicly published catalogue data is long-established practice, and nothing here touches a login, an account or a checkout.
There is no personal data in this output at all - it is a product table. No customer names, no order history, no creator accounts and no engagement figures, because none of that is in this schema. Whatever your signed-in account sees is not what this reads, and that is a deliberate boundary rather than a limitation to work around.
TikTok's own terms restrict automated access, so this is a terms question as well as a legal one - if you sell on the platform or have a commercial relationship with it, check them. We run no third-party trackers on the data layer, and your exports auto-delete after 30 days.
The questions we hear most. Anything else? Talk to us - humans, not bots, write the answers.
500 one-time free rows on every new account - no expiry. After that it is $0.002 per row, pay-as-you-go - no card on file until you say so.
Livescraper's TikTok Products Scraper turns TikTok Shop URLs into a product table. You paste category, search or product URLs one per line - or upload them as a CSV, XLSX, TXT or Parquet file - cap the rows per query, and download the results as a clean CSV, Excel or JSON file. Requests go out through the shared proxy pool rather than your own address.
Each row is one listing: the name, the price and its currency, the availability, the brand, the seller's stock code, the manufacturer part number, the gtin, the rating and review count, the image, the product link and the description. Those fields are read from the structured data the listings publish, which keeps the shape stable across a whole category - and also bounds it, since a field a listing does not publish is not there to collect.
It is worth being clear about what this is. TikTok Shop is one of sixteen storefronts behind a single shared products scraper, so this export is an ordinary fifteen-column catalogue - the same names in the same order as Staples, Tesco or Zoro, which is what lets a social-commerce pull and a high-street pull sit in one table and join on mpn or gtin. What it is not is social data: there is no creator, no video, no view count and no hashtag in this schema, and anyone after those wants the platform's profiles, videos, comments, hashtags or search services instead.
One practical note up front: this page describes the fifteen columns and their order, which the archived exports and the platform's published list agree on exactly, but it claims no formats or fill rates for TikTok Shop because no populated TikTok export exists to base them on. Run one category on the free tier and look at the first rows before you build against it. Your first 500 rows cost nothing and need no credit card, and after that it is $0.002 per row, flat.