TikTok Shop United Kingdom: 14,653 products with sales and prices (September 2026)
14,653 TikTok Shop UK products across 26 categories with price in pounds, variants, units sold, estimated revenue, rating, stock, shipping and data from 8,196 stores.
14,653 rows, 46 columns, CSV. US$399.00, one-time payment.
FAQ about this dataset
- What does this dataset include?
- 14,653 rows and 46 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$399 as a one-time payment with Mercado Pago or PayPal. It is not a subscription.
What's included
- 14,653 unique products from TikTok Shop United Kingdom, from the 26 main categories and their subcategories (beauty, home, fashion, electronics, pets, health, toys and more).
- 8,196 distinct stores, with an estimated accumulated revenue of £310 million (price × units sold).
- 46 columns: title, brand, category at 3 levels, price in GBP, original price and discount, price range by variant, options, units sold, estimated revenue, rating and reviews by stars, available stock, shipping, promotions, specifications and description.
- Store data: name, ID, URL, rating, total sales, followers, number of products and reviews.
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 models: trends by category, price-sales elasticity, training recommendation models.
How we prepared it
- Collected on September 25, 2026 from the public pages of TikTok Shop UK, deduplicated by product ID and sorted from best-selling to least-selling.
- Prices in pounds sterling (GBP) as numbers. No buyer reviews or personal data. TikTok Shop UK does not publish the seller's legal name or address, so those columns are not included.
If you purchase, you get free updates that we publish.
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)
- specifications (string)
- description (string)
- image_url (string)
- image_count (integer)
- has_video (boolean)
- product_url (string)
- observed_at (date)