TikTok Shop Scraper: Products, Price, Stock, Sold Count
Pricing
from $13.50 / 1,000 products
TikTok Shop Scraper: Products, Price, Stock, Sold Count
TikTok Shop products by product, store or category link: price, variant stock, sold count, rating, seller stats, $22.50 per 1,000. Card rows (price, sold count, rating) $7.50 per 1,000. pratikdani/tiktok-shop-scraper and unseenuser input works. US and UK, no login, free error rows.
Pricing
from $13.50 / 1,000 products
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Arcadium Data
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Give it TikTok Shop product, store or category URLs (US and UK) and it returns each product as JSON: current and original price, every variant with its stock, sold count, rating and per-star review counts, shipping and delivery days, flash-sale and free-shipping labels, and the shop's sales, rating and followers. $22.50 per 1,000 products; you pay only for rows you get.
Use case: track the price, stock and sold count of TikTok Shop products and whole stores every day, for competitor and trend research, with no login.
Why this actor
- Drop-in input. Input written for
pratikdani/tiktok-shop-scraper(url,region),unseenuser/TikTok-Shop-Scraper(productUrls,shopUrls,region,maxResults) works as it is.pratikdani/tiktok-shop-search-scraperfield names (country_code,limit) are also accepted; its keyword search is not offered, so give product, store or category URLs. - Stock per variant (SKU), not just a price range.
- Seller stats in the same row: shop sales, rating and followers.
- When a product page is not served anonymously you still get its card data, at a third of the price ($7.50 per 1,000).
- No login, no cookies, no browser. Inputs that fail come back as free error rows.
Built by Arcadium Data: public data, dated and agent-ready, never personal data.
Use with AI agents
Returns TikTok Shop products (price, variants with stock, sold count, rating breakdown, shipping, promotions, seller stats, top reviews) for product URLs or ids, store URLs and category URLs in the US and UK. Agents can call it through the Apify MCP server (https://mcp.apify.com, open source as apify/actors-mcp-server) as arcadium/tiktok-shop-products: the input schema is read from the actor, the result is a dataset of JSON rows.
Input example (minimal):
{"startUrls": ["https://shop.tiktok.com/us/pdp/1729397565453996295"]}
What comes back: one product row per product (charged), and a free error row for an input that could not be read. Filter on the rowType field. Product rows carry detailLevel: full (read from the product page) or card (TikTok did not open the product page to an anonymous visitor; only the store or category card data is filled, at a lower price). The error row carries rowType: "error", a code (invalid_input, not_found, blocked, unavailable or no_match), a message and the input it is about. Retry blocked and unavailable later; do not retry the other codes with the same input.
Cost of the call above: 1 product at $22.50 per 1,000 (Free plan) plus the $0.001 start fee is about $0.024. Error rows are never charged.
What you get
| Field | What it holds |
|---|---|
productId, title, url, region | Product id (the long number in the link), title, canonical link and market (US or GB). |
price, maxPrice, originalPrice, discountPercent, currency, priceText | Lowest and highest current variant price, the price before discounts, and the price as displayed. |
soldCount | Items sold since listing, TikTok's own counter. |
rating, reviewCount, ratingCounts | Average rating, number of reviews and reviews per star. |
variants, totalStock, inStock | Every SKU with its options (size, color...), price, original price, stock and purchase limit. |
shipping | Free or fee (and the fee before discount), delivery name and min/max days, delivery window, fulfilled by TikTok, ships from. |
promotions | Labels such as "Flash sale" and "Free shipping". |
seller | The shop as a business: id, name, link, rating, items sold, product count, review count, followers, video count, badge ("OFFICIAL SHOP"), and the legal business name when it is a company. |
brand, specifications, categories, categoryId | Product attributes and the category path. |
description, images, hasVideo, videoDurationSec | Description (300 characters by default), image links, product video. |
aiTitle, aiKeywords | The short title and search keywords TikTok generates for the product. |
topReviews | The up to 5 reviews the page shows: rating, text, date, variant, country, verified and incentivized flags, photo count. |
source, input, sourceRank, detailLevel | How the product was found (product, store or category), the input, its position on the page, and full or card-level data. |
Output example:
{"rowType": "product","platform": "tiktok-shop","productId": "1729397565453996295","detailLevel": "full","region": "US","url": "https://shop.tiktok.com/us/pdp/tongue-scraper-2-pack-by-gurunanda-u-shaped-stainless-steel-with-case/1729397565453996295","title": "GuruNanda Tongue Scraper (2 Pack) with Travel Case, 420 Medical-grade Stainless Steel Tongue Cleaner","brand": "Gurunanda","currency": "USD","price": 19.49,"priceText": "$19.49","soldCount": 54204,"rating": 4.6,"reviewCount": 3715,"ratingCounts": { "1": 134, "2": 56, "3": 175, "4": 503, "5": 2847 },"categories": ["Beauty & Personal Care", "Nasal & Oral Care", "Tongue Cleaners"],"promotions": ["Free shipping"],"variants": [{ "skuId": "1729397565454061831", "options": { "Specifications": "Default" }, "price": 19.49, "stock": 826, "purchaseLimit": 200, "available": true }],"totalStock": 826,"shipping": { "freeShipping": true, "fee": 0, "originalFee": 5.99, "deliveryMinDays": 4, "deliveryMaxDays": 7, "fulfilledByTikTok": true, "shipFrom": "local" },"seller": { "sellerId": "7495134783373216007", "name": "GuruNanda LLC", "rating": 4.5, "soldCount": 6413926, "productCount": 129, "followers": 278606, "badge": "OFFICIAL SHOP", "businessName": "GuruNanda LLC" },"aiKeywords": ["tongue scraper", "stainless steel tongue cleaner", "oral care tool"],"topReviews": [{ "rating": 5, "text": "It's really good; it removes all the dirt, I give it a 10/10.", "createdAt": "2026-07-24T21:15:52.471Z", "variant": "Default", "country": "US", "verifiedPurchase": true, "incentivized": false, "imageCount": 6 }],"source": "product","scrapedAt": "2026-10-22T10:34:19.179Z"}
Input
{"startUrls": ["https://shop.tiktok.com/us/pdp/1729397565453996295","https://www.tiktok.com/shop/store/asterwood/7495384600901552906","https://shop.tiktok.com/us/c/beauty-personal-care/601450"],"maxProductsPerUrl": 20,"description": "short"}
| Field | What it does |
|---|---|
startUrls | Product URLs or ids (shop.tiktok.com/us/pdp/..., www.tiktok.com/shop/pdp/..., .../view/product/<id>), store URLs (www.tiktok.com/shop/store/<name>/<id>) and category URLs (shop.tiktok.com/us/c/<name>/<id>). |
region | Market for bare product ids: US (default) or GB. URLs with /us/ or /gb/ keep their own. |
maxProductsPerUrl | Products per store or category URL. Default 20. |
maxItems | Optional cap on charged products for the whole run. |
description | short (default, 300 characters), full or none. |
includeReviews | The reviews shown on the product page (on by default, no extra charge). |
cardFallback | Card-level rows for store and category products whose page TikTok does not open anonymously (on by default; off returns free error rows instead). |
includeErrorRows | A free row for every input that returned nothing. On by default. |
These input field names are also accepted: productUrls, productIds, storeUrls, shopUrls, categoryUrls, urls, maxProducts, maxResults, limit, country and includeDescription are mapped to the fields above.
Use it from an AI assistant
Use the Apify actor "arcadium/tiktok-shop-products" to compare TikTok Shop listings.Input: {"startUrls":["https://www.tiktok.com/shop/store/asterwood/7495384600901552906"],"maxProductsPerUrl":20}Each dataset row with rowType "product" is one product. Key fields: title, price, originalPrice, soldCount, rating, reviewCount, totalStock, promotions.Run it, then rank the store's products by soldCount and show which ones are discounted or in a flash sale.
Use it from code
Python:
from apify_client import ApifyClientclient = ApifyClient("<YOUR_APIFY_TOKEN>")run = client.actor("arcadium/tiktok-shop-products").call(run_input={"startUrls": ["https://shop.tiktok.com/us/c/beauty-personal-care/601450"],"maxProductsPerUrl": 40,})for p in client.dataset(run["defaultDatasetId"]).iterate_items():if p["rowType"] == "product":print(p["soldCount"], p["price"], p["seller"]["name"] if p["seller"] else None, p["title"])
JavaScript:
import { ApifyClient } from 'apify-client';const client = new ApifyClient({ token: '<YOUR_APIFY_TOKEN>' });const run = await client.actor('arcadium/tiktok-shop-products').call({startUrls: ['https://shop.tiktok.com/us/pdp/1729397565453996295'],});const { items } = await client.dataset(run.defaultDatasetId).listItems();console.log(items.filter((i) => i.rowType === 'product').map((p) => [p.price, p.totalStock]));
Pricing
You pay per row delivered, at the price of your Apify plan. Error rows are free.
| Apify plan | Per 1,000 products (full, US and UK) | Per 1,000 product cards (US) | Per 1,000 product cards (UK) |
|---|---|---|---|
| Free | $22.50 | $7.50 | $7.50 |
| Starter (Bronze) | $18.00 | $6.00 | $7.50 |
| Scale (Silver) | $16.20 | $5.40 | $7.50 |
| Business (Gold) | $13.50 | $4.50 | $7.50 |
| Platinum | $13.50 | $4.50 | $7.50 |
| Diamond | $13.50 | $4.50 | $7.50 |
UK pages are read through UK residential proxies, so UK card rows keep the Free-plan price on every plan.
Plus a one-off $0.001 when a run starts.
Set a maximum cost per run in the Apify run options and the actor stops before it goes over.
Related actors
Use cases
- Competitor tracking: run the same product URLs weekly and compare price, discount, stock and sold count.
- Store monitoring: one store URL gives its first ~20 products with full details; diff runs to see new listings and sell-outs.
- Category research: a category URL gives a changing sample of its products; repeated runs build a wider picture.
- Stock and promotion alerts:
totalStock,variants[].stockandpromotionsshow when a rival runs out or starts a flash sale.
Limitations
- US and UK only. TikTok does not serve the other Shop markets (EU, Southeast Asia, Latin America, Japan) to anonymous visitors.
- No keyword search: TikTok shows search results only behind a captcha. Use store or category URLs to discover products.
- A store URL gives the store's first ~20 products (the batch the store page loads first). A category URL gives a rotating sample: the actor reloads it while it keeps adding new products.
- TikTok opens some product pages to anonymous visitors only behind a check page, on every attempt (in our tests about a quarter of store and category products). Those come back as
detailLevel: "card"rows when they were found on a store or category page, or as a freeunavailableerror row when given directly. soldCountis TikTok's own global counter; shipping and delivery days are for the market of the page and change with the request date.
Privacy
Only product and shop business data is collected. No reviewer names or photos, no shop owner or creator accounts, no emails or phone numbers (they are removed from descriptions and review texts). The legal business name from the "Seller information" block is output only when it is clearly a company (LLC, Inc, Ltd...), because sole traders often list their own name there.
FAQ
How fresh is the data? It is read when you run the actor, so it matches what TikTok Shop shows at that moment.
Why do some rows have detailLevel: "card"?
TikTok did not open that product page to an anonymous visitor. The row then holds what the store or category card shows (title, price, discount, sold count, rating, seller, image) and costs a third of a full row ($7.50 per 1,000 on the Free plan; UK cards stay at $7.50 on every plan). Set cardFallback to false to skip them.
A product URL returned an error row. Why?
not_found means TikTok says the product does not exist in that market. unavailable means the page was not served to us on any attempt; it may also have been removed. invalid_input means the URL is not a TikTok Shop product, store or category link, or is for an unsupported market.
Something looks wrong in the output. Who do I tell? Open an issue on the actor page with the run link. We read them all.