🛍️ TikTok Shop Scraper — Products, Reviews, Sales & Sellers

Search the TikTok Shop US storefront by keyword and receive clean, export-ready product data. Start with fast product discovery, or switch to Full mode for descriptions, variants, stock, shipping, seller details, videos, customer reviews, and change tracking.

Supported storefront: United States (US, currency USD). Other storefronts are intentionally rejected instead of returning US products with an incorrect country label.

🚀 Start your first run

1. Open the Actor's Input tab.
2. Choose a Mode:
   • ⚡ Fast Search for product research, prices, sales, ratings, and sellers.
   • 🔬 Full Product Data for product-page details, SKUs, reviews, and tracking.
3. Add one or more Search keywords, for example water bottle or mini printer.
4. Set Maximum products. This limit applies separately to every keyword.
5. Keep the default US residential proxy for the most reliable results.
6. Click Start and open the named output views when the run finishes.

The defaults are designed to work with 1 GB of memory. Invalid or empty input finishes safely with an explanation instead of crashing the Actor.

🎯 Fast or Full?

Mode	What it collects	Recommended use
⚡ fast	Product cards, prices, discounts, sold count, rating, review count, seller, images, tags, and ranking	Large searches, market research, product discovery
🔬 full	Everything from Fast plus descriptions, properties, SKUs, stock, shipping, business information, videos, reviews, and changes	Product intelligence, catalog enrichment, review analysis, monitoring

Full mode first searches and filters the products, then enriches only the rows that remain. This avoids spending time on products you do not need.

Use the input field mode to select a mode. dataLevel is an output field and does not switch the Actor to Full mode.

📋 Copy-paste examples

Quick product search

{
  "mode": "fast",
  "keywords": ["water bottle"],
  "maxItems": 20,
  "maxPages": 1
}

Search several product niches

{
  "mode": "fast",
  "keywords": ["neck fan", "phone case", "makeup organizer"],
  "maxItems": 50,
  "maxPages": 3,
  "sortBy": "best_sellers",
  "dedupe": true,
  "maxConcurrency": 3
}

This example can save up to 50 products for each keyword, not 50 products in total.

Full product data with reviews

{
  "mode": "full",
  "keywords": ["portable blender"],
  "maxItems": 25,
  "maxPages": 2,
  "includeReviews": true,
  "maxReviews": 5,
  "fullConcurrency": 8
}

Monitor price, sales, and stock changes

{
  "mode": "full",
  "keywords": ["mini printer"],
  "maxItems": 50,
  "includeReviews": false,
  "trackChanges": true
}

Run the same input again later or schedule it on Apify. The first run creates a baseline; change fields appear from the second run onward.

🎛️ Input reference

Essential settings

Field	Default	Meaning
mode	fast	fast or full
keywords	["water bottle"]	One or more TikTok Shop search phrases
maxItems	10	Maximum saved products per keyword; 0 removes the item cap
maxPages	1	Maximum search pages loaded for each keyword
sortBy	relevance	relevance, best_sellers, price_asc, price_desc, or rating_desc
dedupe	true	Removes repeated product IDs across all keywords and pages

maxItems: 0 does not remove the maxPages limit. Increase both values for deeper collection.

Product filters

Field	What it does
minPrice / maxPrice	Keeps products within the selected USD price range
minRating	Keeps products at or above the selected rating when a rating is available
minSoldCount	Keeps products at or above the selected sold count when it is available
freeShippingOnly	Keeps products where TikTok exposes a free-shipping label

Filtering and sorting happen after TikTok returns the search cards. A filter can therefore reduce the number of saved rows below maxItems.

Full mode settings

Field	Default	Meaning
includeReviews	true	Fetch public customer reviews
maxReviews	5	Maximum reviews per product; 0 requests all reviews TikTok exposes
reviewSort	recommended	TikTok's recommended order or recent
trackChanges	false	Compare current values with the previous saved snapshot
fullConcurrency	8	Product-detail requests processed in parallel, from 1 to 12
includeRawDetail	false	Adds the original detail payload for debugging; significantly increases row size

Output and performance

Field	Default	Meaning
compactOutput	true	Removes null values and empty arrays/objects for a cleaner dataset
htmlReport	true	Creates a visual product-grid report in the key-value store
maxConcurrency	1	Number of keywords processed in parallel, from 1 to 10
requestDelayMs	0	Optional delay between pages for the same keyword
proxyConfiguration	US residential	Proxy used for search, product details, and reviews

The timeout and retry controls are intended for advanced troubleshooting. Start with the defaults. Increasing concurrency can improve speed, but overly aggressive values may cause more TikTok security responses.

📦 Output

Every saved product is available in the default dataset. Full-mode rows are also placed in a separate Full dataset with additional views.

Output	What you will find there
Products	Clean product overview with image, price, sales, seller, and link
Prices & sales	Price, discount, sold count, rating, reviews, and shipping indicators
Sellers	Seller identity and products associated with each seller
Full product data	Descriptions, variants, stock, shipping, business data, videos, and review status
SKUs & variants	One expanded row for every product variant
Customer reviews	One expanded row for every fetched review
Price & sales changes	Price, sales velocity, and stock differences between tracked runs
Errors	Pages or details that could not be verified; these are not product results
Run summary	Saved counts, issues, duration, mode, market, and direct output links
HTML report	A visual product grid saved as the report key-value-store record

Export any dataset view to JSON, CSV, Excel, XML, or access it through the Apify API.

🔎 Main fields

Search product fields

• Identity: productId, title, productUrl, countryCode, query, page.
• Price: currentPrice, originalPrice, currency, currencySymbol.
• Demand: soldCount, soldText, rating, reviewCount.
• Seller: sellerId, sellerName, sellerUrl.
• Media: imageUrl, imageUrls.
• Discovery: searchRank, sortedRank, tags, freeShipping, sourceUrl, scrapedAt.

Example:

{
  "type": "product_card",
  "status": "ok",
  "countryCode": "US",
  "query": "water bottle",
  "productId": "1234567890123456789",
  "title": "Example insulated water bottle",
  "productUrl": "https://shop.tiktok.com/us/pdp/example-product/1234567890123456789",
  "currentPrice": 19.99,
  "originalPrice": 24.99,
  "currency": "USD",
  "soldCount": 1250,
  "rating": 4.8,
  "reviewCount": 315,
  "sellerName": "Example Store",
  "imageUrl": "https://example.com/product.webp",
  "freeShipping": true,
  "searchRank": 1
}

All values in this example are fictional and show the output shape only.

Additional Full fields

• Status: dataLevel, detailStatus, detailError.
• Product: description, properties, options, categoryId, availabilityReason.
• Variants and stock: variants, defaultSkuId, skuCount, skuInStockCount, totalStockQuantity.
• Commercial metrics: discount, discountPercent, savingsAmount, priceRange, estimatedRevenue.
• Shipping: shippingName, shippingFee, shippingCurrency, deliveryMinDays, deliveryMaxDays, fulfillable, codAvailable.
• Seller business data: businessName, businessAddress, sellerLogoUrl.
• Media: fullImageUrls, videos, videoUrls, videoCount.

estimatedRevenue is a calculated estimate (currentPrice × soldCount), not verified seller revenue.

Review fields

Each object in reviews[] can include:

{
  "reviewId": "9876543210987654321",
  "rating": 5,
  "text": "Example review text.",
  "createdAt": "2026-08-01T12:00:00Z",
  "reviewerName": "A**e",
  "reviewCountry": "US",
  "verifiedPurchase": true,
  "incentivizedReview": false,
  "skuSpecification": "Blue / 32 oz",
  "imageUrls": ["https://example.com/review-image.webp"]
}

Review summary fields include reviewsFetchedCount, reviewsAvailableCount, reviewsWithTextCount, reviewsWithMediaCount, reviewRatingBreakdown, and reviewsFetchStatus.

reviewsFetchStatus values:

• complete — every currently exposed review was collected.
• limited — the configured maxReviews limit was reached.
• disabled — review collection was turned off.
• failed — the product was saved, but its reviews could not be fetched after retries.

Change-tracking fields

From the second matching run onward, Full mode can add previousPrice, priceChange, priceChangePct, previousSoldCount, soldSinceLastScrape, soldVelocityPerDay, stockChange, firstSeenAt, and previousScrapedAt.

💳 How charging works

• A product-result event is charged only for a product row saved to the default dataset.
• Full enrichment is charged only when the product-detail response succeeds.
• The first five reviews are included with a successful Full result. Reviews above that allowance can use the separate extra-review event shown on the Actor pricing page.
• A failed search page or rejected storefront is written to Errors, not billed as a product result.

Use maxItems, filters, and Fast mode to control the size and cost of exploratory runs before switching selected searches to Full.

⚠️ Troubleshooting

I received fewer products than requested

TikTok may expose a short feed for a specific phrase, or your filters and global deduplication may remove rows. Try a broader keyword, increase maxPages, or add several distinct keywords.

I received only search fields in a Full test

Check that the input contains exactly "mode": "full". Do not use dataLevel, dataLevelMode, or maxReviewsPerProduct; the current input fields are mode and maxReviews.

Some cells are blank

TikTok does not publish every rating, stock quantity, shipping value, business field, or description for every product. With compactOutput: true, unavailable fields are omitted instead of being filled with invented values.

A Full detail or review failed

The base product row remains available with detailStatus, reviewsFetchStatus, and an explanation. Open Errors and Run summary, then retry with the default US residential proxy or lower concurrency.

Can I request Brazil, Europe, or Asia?

Not in the current public version. Only the verified US storefront is supported. Legacy clients that send a non-US country_code finish with INPUT_NEEDS_ATTENTION; the Actor never relabels US data as another market.

✅ Reliability guarantees

• US storefront and USD responses are validated before products are saved.
• Duplicate product IDs can be removed across keywords and pages.
• Incorrect or malformed input ends safely with a clear status message.
• Failed Full enrichment is clearly marked and is never presented as successful Full data.
• Missing source values stay missing; the Actor does not fabricate product information.

Tags: tiktok shop · tiktok shop scraper · product research · product reviews · price tracking · best sellers · ecommerce · dropshipping