TikTok Shop Scraper — Products, Sellers & Reviews

TikTok Shop Scraper — Products, Sellers & Reviews

Extract TikTok Shop data at scale: product listings and details, full seller catalogues, and the reviews that come embedded in each product page. Search by keyword, crawl an entire storefront, or pull a single product — proxies handled, reliability first.

• 🔎 Real discovery — keyword search built in, not just "hand me a URL"
• 🧱 Full seller catalogue crawl — the whole storefront, paginated
• 🖼️ Product detail with images + reviews — description, all images, the SKU/variant matrix, specs, price, rating, and the reviews shown on the product page (with review images)
• 🚫 No proxy setup, no browser — pages are fetched over HTTP through an Apify US proxy

What you can extract

Input	You get
Search keyword	The results feed, paginated (~30–60 products/keyword): title, price, discount, rating, sold count, seller, image, product URL
Product URL / ID	Full detail: title, description, all images, SKU/variant matrix, specs, price, discount, rating, sold count, shop name & rating — plus the reviews embedded in the page (text, rating, author, images) and the total review count
Seller store URL / ID	The store's full paginated catalogue as listing rows

Product inputs accept both shop.tiktok.com/us/pdp/x/<id> and www.tiktok.com/view/product/<id> URLs, or a bare product ID.

Scope (honest)

• Reviews here are the ones embedded in the product page (typically the first few, with images), plus the product's total review count. For the complete review archive, use the dedicated TikTok Shop Reviews Actor — it pages to TikTok's public cap.
• Search paginates the results feed (typically ~30–60 products per keyword; it stops when the feed is exhausted). Bound the depth with resultsPerSearch. For category-wide discovery, use the Category Actor.
• Category browse is a separate Actor on purpose — keeping it apart means its failure modes never affect this one's reliability.

How to use

1. Click Try for free at the top of this page. Apify creates a free account if you do not have one — no card is needed to run this.
2. Put what you want scraped into Search queries — one per line.
3. Set Results per search to bound the run, then press Start. You are billed per row, so this field is also your budget.
4. Rows show up in the Dataset tab while the run is still going. Export to JSON, CSV, Excel or XML from there, or read them over the API.

Input

Every field, with its default — paste the whole block and delete what you do not need:

{
  "searchQueries": [
    "led strip lights"
  ],
  "productUrls": [
    "https://shop.tiktok.com/us/pdp/x/1731965941287653978"
  ],
  "sellerUrls": [],
  "region": "US",
  "resultsPerSearch": 30,
  "maxProductsPerSeller": 100
}

Provide at least one of searchQueries, productUrls, or sellerUrls.

field
searchQueries	Shop search terms, one per line
productUrls	PDP links or bare product ids — feed these straight from a category or search run
sellerUrls	seller storefronts; the run walks each one's catalogue
resultsPerSearch	caps each search term. Default 30
maxProductsPerSeller	caps each seller catalogue. Default 100, up to 500
region	US is the storefront this is built and measured against. GB is experimental — TikTok enforces the region by the egress IP's country, so it needs a proxy in that country and has not been measured the way US has. Leave it on US unless you are deliberately testing GB.

Output

One row per product record. Every row carries source (search, product or seller) and, for search rows, the query that found it — so a mixed run stays readable in one dataset.

field
productId, title
price, originPrice, discount, currency	prices are decimal strings — money does not survive a float
rating, reviewCount, soldCount	counts are numbers
sellerId, shopName
image, pdpUrl	feed pdpUrl straight into the Reviews Actor

Product-detail rows carry more: description, all images, the skus variant matrix, properties, shopRating, reviewTotal, and reviews[] — the reviews embedded on the page, each with reviewId, rating, text, createdAt, reviewer, verifiedPurchase and images.

One row, exactly as it lands in your dataset (long signed CDN links shortened here for readability):

{
  "source": "search",
  "query": "phone case",
  "productId": "1731987113638072822",
  "title": "junk phone case",
  "price": "20",
  "originPrice": null,
  "discount": null,
  "currency": "USD",
  "rating": 0,
  "reviewCount": 0,
  "soldCount": 0,
  "sellerId": "7496085867160504822",
  "shopName": "jaidaalize",
  "image": "https://p16-oec-general-useast5.ttcdn-us.com/tos-useast5-i-omjb5zjo8w-…?…",
  "pdpUrl": "https://shop.tiktok.com/us/pdp/pink-white-junk-phone-case-stylish-prot…"
}

Run it from your own code

Every Actor is an API endpoint. This starts a run, waits for it, and returns the rows in one call — swap in your token from Settings → Integrations:

curl -X POST 'https://api.apify.com/v2/acts/mu0i~tiktok-shop-scraper/run-sync-get-dataset-items?token=YOUR_TOKEN' \
  -H 'Content-Type: application/json' \
  -d '{
    "searchQueries": [
      "led strip lights"
    ],
    "productUrls": [
      "https://shop.tiktok.com/us/pdp/x/1731965941287653978"
    ],
    "sellerUrls": [],
    "region": "US",
    "resultsPerSearch": 30,
    "maxProductsPerSeller": 100
  }'

Pricing

Pay per result — you are billed for rows you receive, not for time or compute. A search result, a product detail and a seller-catalogue item all bill the same, so a mixed run has one rate to reason about.

Event	Per 1,000	What one unit is
product	$5.00	one product record

Paid Apify plans pay less than this. The table above is the free-plan rate. Starter, Scale and Business each get a lower per-unit price — up to 55% off on Business — and the Actor's Pricing tab shows every tier before you run anything.

Starting a run costs $0.00001 — a cent per thousand runs — and there is no run minimum. You are never billed for a run that found nothing. If an input has nothing to collect the run says so in a row of the dataset — never a silently empty result, and never a charge. A run that fails because the data could not be reached fails loudly, because that one is worth retrying. No compute markup and no monthly rental.

Our guarantees

1. No charge for empty or errored results — charges are gated on rows actually returned.
2. Never billed for nothing — an input with nothing to collect returns a row saying so and costs you nothing; only a genuine failure to reach the data is marked FAILED.
3. Proxies handled internally — no residential setup, no silent caps.

Example use cases

• Product research & dropshipping — find products by keyword, then pull full detail
• Competitive intelligence — track a competitor's prices, discounts, sold counts, variants
• Seller analysis — crawl an entire storefront, not one product at a time
• Quick sentiment read — the reviews embedded on each product page, with images

Good to know

• US-first. GB is experimental. TikTok decides which storefront to serve from the visitor's country, so the proxy must match the region you select.
• Read-only public data. Comply with GDPR/CCPA and applicable law where you operate.

Related Actors

Fourteen Actors covering the whole public TikTok surface. Same billing rules and the same guarantees throughout: billed once for each row you receive, never billed for a run that found nothing, and told in the dataset why it found nothing.

Actor	What it does
TikTok Search Scraper — videos, users, hashtags	Keyword search across every tab, deduplicated.
TikTok Hashtag Scraper — videos by hashtag	Every video under a hashtag, walked deep.
TikTok Trending Scraper — the real Explore feed	The app's real Explore feed, not Creative Center.
TikTok Profile Scraper — followers, likes, bio	Followers, likes, bio for any public account.
TikTok User Posts Scraper — every video + stats	Every video an account posted, with stats.
TikTok Comments Scraper — replies, no duplicates	Every comment and reply, no duplicate pages.
TikTok Video Downloader — no watermark MP4/MP3	No-watermark MP4, MP3, covers and subtitles.
TikTok Transcript Scraper — no AI, no waiting	Subtitles from TikTok's own caption track.
TikTok Sound Scraper — videos using a sound	Videos that actually use a sound, filtered.
TikTok Live Scraper — rooms, viewers, streams	Live rooms with playable stream links.
TikTok Places Scraper — locations and reviews	Locations with addresses, coordinates and reviews.
TikTok Shop Category Scraper — every product	Every product in a Shop category and its subcategories.
TikTok Shop Reviews Scraper — full archive	The full review archive for a Shop product.