TikTok Shop United States: 15,309 products with sales and prices (September 2026)
15,309 products from TikTok Shop USA in 26 categories with price, variants, units sold, estimated revenue, rating, stock, shipping and data from 9,818 stores.
15,309 rows, 48 columns, CSV. US$499.00, one-time payment.
FAQ about this dataset
- What does this dataset include?
- 15,309 rows and 48 columns: product_id, title, brand, category_l1, category_l2, category_l3, category_path, price, original_price, discount_percent, currency, min_variant_price, among others. Before buying you can see the full schema with each column's fill rate and the first 25 rows for free, without signing up.
- Where does the data come from?
- Public category and product pages from TikTok Shop (shop.tiktok.com), collected by datasets.lat on September 25, 2026 across the 26 main categories and their subcategories. Collected and processed by datasets.lat (as of September 25, 2026).
- How often is it updated?
- Planned update frequency: quarterly. Buyers also get every new version of this dataset we publish at no extra cost.
- What format is the download?
- Your choice: CSV (UTF-8, with headers), Excel (.xlsx) or JSON. It opens in Excel, Google Sheets, Python, R or any SQL database. The download is available right after payment and all three formats are in your library.
- What license does it have?
- License: commercial use (internal; no resale of the file as is). Details are in the terms of use.
- How much does it cost?
- US$499 as a one-time payment with Mercado Pago or PayPal. It is not a subscription.
What it includes
- 15,309 unique products from TikTok Shop United States, from the 26 main categories and their subcategories (beauty, home, fashion, electronics, pets, health, toys and more).
- 9,818 distinct stores, with an accumulated estimated revenue of US$1.9 billion (price × units sold).
- 48 columns: title, brand, category at 3 levels, price, original price and discount, price range per variant, options (color, size), units sold, estimated revenue, rating and reviews per star, available stock, free shipping, shipping cost and delivery days, promotions, specifications and description.
- Store data: name, ID, URL, rating, total sales, followers, number of products and reviews, seller's registered business name and registered city/state.
What it's for
- Product research: identify what sells on TikTok Shop, at what price and with what volume before launching or importing a product.
- Competitive intelligence: compare prices, discounts, variants and shipping times by category and by store.
- B2B prospecting: find growing stores (sales, followers, catalog) to offer them marketing, logistics or financing services.
- Market analysis and modeling: trends by category, price-sales elasticity, training of recommendation models.
How we prepared it
- Collected on September 25, 2026 from the public pages of TikTok Shop US, deduplicated by product ID and sorted from best-selling to least-selling.
- Prices in USD as numbers. No buyer reviews or personal data: only city and state are included from the seller's address.
If you purchase, you get the updates we publish for free.
Columns
- product_id (number)
- title (string)
- brand (string)
- category_l1 (string)
- category_l2 (string)
- category_l3 (string)
- category_path (string)
- price (number)
- original_price (number)
- discount_percent (number)
- currency (string)
- min_variant_price (number)
- max_variant_price (number)
- variant_count (integer)
- options (string)
- sold_count (integer)
- estimated_revenue (number)
- rating (number)
- review_count (integer)
- rating_5 (integer)
- rating_4 (integer)
- rating_3 (integer)
- rating_2 (integer)
- rating_1 (integer)
- in_stock (boolean)
- available_quantity (integer)
- free_shipping (boolean)
- shipping_fee (number)
- delivery_min_days (integer)
- delivery_max_days (integer)
- promotions (string)
- shop_name (string)
- shop_id (number)
- shop_url (string)
- shop_rating (number)
- shop_sold_count (integer)
- shop_followers (integer)
- shop_product_count (number)
- shop_review_count (integer)
- seller_legal_name (string)
- seller_location (string)
- specifications (string)
- description (string)
- image_url (string)
- image_count (integer)
- has_video (boolean)
- product_url (string)
- observed_at (date)