Tiktok Shop Analytics

Discover trending TikTok Shop products, seller profiles, and creator/affiliate signals from publicly available TikTok data. The actor scrapes TikTok search, hashtag, and profile pages (with stealth) and derives trending and affiliate scores from the metrics it can extract.

This actor works with public TikTok data only. It is not affiliated with, endorsed by, or connected to TikTok. Because TikTok has strong anti-bot defenses, results vary run-to-run and residential proxies are strongly recommended. See Limitations.

Features

• Product discovery: Search products by keyword, category URL, or specific product URLs
• Trending analysis: Compute a 0-100 trending score from the sales/rating/review/price/discount signals that could be extracted
• Seller intelligence: Extract seller/store profiles and (optionally) their product catalog
• Affiliate discovery: Find creators promoting products via hashtags or direct profile URLs
• Creator analytics: Estimate engagement rate, affiliate tier, and affiliate potential score

How It Works (Data Sources)

The actor combines two collection strategies with graceful fallback:

1. Third-party TikTok scraper (when running on the Apify platform) — for keyword/hashtag/profile video collection it calls the established clockworks/tiktok-scraper actor via Actor.call. This runs as a metered child run and consumes its own resources.
2. Direct Playwright scraping (fallback / always used for product & seller pages) — a stealth-configured headless Chromium browser scrapes TikTok search, tag, product, and profile pages directly.

Structured product fields (price, rating, review count, units sold) are read from the DOM/page text of actual product or category pages. Keyword and hashtag searches primarily return product mentions and creator records derived from video results rather than fully structured product listings.

Input Parameters

Parameter	Type	Default	Description
dataTypes	array	["products"]	Which data to collect: products, sellers, affiliates
searchQuery	string	"viral products"	Keyword to search for product mentions
categoryUrl	string	—	Direct TikTok Shop category page URL
productUrls	array	[]	Specific TikTok Shop product URLs
sellerUrls	array	[]	Seller/store profile URLs
sellerName	string	—	Seller name to search for
includeSellerProducts	boolean	true	Also scrape products from the seller's shop
hashtag	string	"TikTokMadeMeBuyIt"	Hashtag used to find creators (the # is optional)
creatorUrls	array	[]	Specific creator profile URLs
region	string	"US"	One of US, UK, ID, TH, VN, MY, PH, SG
maxProducts	integer	50	Max products/product mentions (1-200)
maxCreators	integer	20	Max creators to analyze (1-50)
maxProductsPerSeller	integer	20	Max products per seller (1-50)
enableTrendingAnalysis	boolean	true	Compute trending scores for products
enableCreatorAnalysis	boolean	true	Compute affiliate scores/tiers for creators
useShopApi	boolean	true	Use enhanced stealth scraping for search
proxyConfiguration	object	—	Proxy settings (residential strongly recommended)

At least one of searchQuery, categoryUrl, productUrls, sellerUrls, sellerName, hashtag, or creatorUrls must be provided.

Output

All records are written to a single dataset. Each record carries a dataType (or type) field so you can filter by kind. Fields are populated on a best-effort basis and may be null when TikTok does not expose them or blocks the request.

product — scraped product page

Field	Description
productId	Product ID parsed from the URL
title, description	Product title / description
price, originalPrice, currency	Pricing (parsed from page text)
discount	Discount % (derived from price vs. original price)
rating, reviewCount, soldCount	Rating, review count, units sold (best-effort)
sellerName, sellerUrl	Seller name / link
images, categories	Image URLs, breadcrumb categories
trendingScore, trendingSignals	Trending score (0-100) and signal list (when trending analysis is on)

product_mention — product signal from a video

Field	Description
sourceVideo, sourceAuthor	Originating video URL and author
description, hashtags	Video caption and hashtags
engagement	{ likes, comments, shares, plays }
productIndicators	{ hasProductLink, hasShopMention, hasDiscountCode, keywords }
viralityScore	Virality score (0-100)

seller

Field	Description
username, displayName, bio	Profile identity
followers, following, likes	Profile stats (best-effort)
verified, hasShop	Verification / shop presence
shopUrl	Shop link (if found)
products, productCount	Catalog items and count (when includeSellerProducts is on)

creator (affiliate)

Field	Description
username, displayName, bio	Profile identity
followers, following, likes, videoCount	Profile stats (best-effort)
engagementRate	Likes/followers ratio (%)
affiliateScore	Affiliate potential (0-100)
affiliateTier	mega / macro / mid-tier / micro / nano
affiliateInfo	{ hasShop, hasShowcase, hasAffiliateKeywords, showcaseProductCount }
contactEmail, linkInBio	Contact email (parsed from bio, if present), link in bio

Other records

• video — raw video records with product indicators (only those with a shop/product signal are written to the dataset)
• market_insights — aggregate price/rating/sales/discount breakdown across scraped products
• creator_insights — aggregate tier/engagement/reach/affiliate-readiness breakdown across creators
• run_summary — per-run counts and top product/creator highlights
• error_summary — written (with type: "error_summary") when a run is blocked or errors out; the run still finishes successfully

Trending Score Calculation

Products are scored 0-100 from the metrics that could be extracted:

• Sales velocity (up to 40 pts): units sold
• Review count (up to 20 pts): number of reviews
• Rating (up to 15 pts): star rating
• Price point (up to 15 pts): highest for the $10-50 range (with $15-35 flagged as a "viral sweet spot" signal)
• Discount (up to 10 pts): discount percentage

If a metric is missing, its contribution is simply absent — scores are only as complete as the data TikTok exposes.

Affiliate Tiers

Tier	Followers
Mega	1M+
Macro	100K-1M
Mid-tier	10K-100K
Micro	1K-10K
Nano	<1K

Example Input

Find trending products

{
    "dataTypes": ["products"],
    "searchQuery": "viral skincare",
    "region": "US",
    "maxProducts": 100,
    "enableTrendingAnalysis": true
}

Discover affiliates

{
    "dataTypes": ["affiliates"],
    "hashtag": "#TikTokMadeMeBuyIt",
    "maxCreators": 50,
    "enableCreatorAnalysis": true
}

Full analysis

{
    "dataTypes": ["products", "sellers", "affiliates"],
    "searchQuery": "kitchen gadgets",
    "hashtag": "#AmazonFinds",
    "region": "US",
    "maxProducts": 50,
    "maxCreators": 30,
    "enableTrendingAnalysis": true,
    "enableCreatorAnalysis": true
}

Regions Supported

US (United States), UK (United Kingdom), ID (Indonesia), TH (Thailand), VN (Vietnam), MY (Malaysia), PH (Philippines), SG (Singapore).

Tips

1. Use residential proxies — TikTok aggressively blocks datacenter traffic.
2. Start small — test with 10-20 items before scaling up.
3. Combine data types — products + affiliates gives the fullest picture.
4. Try popular hashtags — #TikTokMadeMeBuyIt, #AmazonFinds, #TikTokShop.

Limitations

• Anti-bot blocking. TikTok actively blocks automated access. Without residential proxies (and sometimes even with them), a run may return few or no results. The actor treats blocks as expected: it logs a warning, writes an error_summary/run_summary record, and finishes with status SUCCEEDED rather than failing the run.
• Best-effort parsing. Numeric fields (price, followers, likes, soldCount, reviewCount, rating) are parsed from page text and selectors that depend on TikTok's current DOM. They can be null or approximate and may break if TikTok changes its layout.
• Search returns mentions, not catalogs. Keyword and hashtag searches mainly yield product_mention and creator records derived from videos. Fully structured product records require scraping actual product or category pages via productUrls/categoryUrl.
• Third-party dependency & cost. On the Apify platform, video/hashtag/profile collection is delegated to the clockworks/tiktok-scraper actor when available; that child run consumes its own compute and (if configured) proxy usage. If it is unavailable, the actor falls back to direct Playwright scraping.
• No private or authenticated data. Only publicly visible information is collected. Exact sales figures, private analytics, and TikTok Shop back-office data are not accessible.
• Not a TikTok product. This actor is independent and not affiliated with or endorsed by TikTok.

Pricing

This actor runs on the Apify platform and consumes platform usage (compute units, plus proxy and any child-actor usage). Actual cost depends on how many pages are scraped, whether Playwright fallback or the third-party TikTok scraper is used, your limits (maxProducts, maxCreators, maxProductsPerSeller), and your proxy configuration. Start with small limits to gauge cost for your workload.

Legal Notice

This actor scrapes publicly available data from TikTok. You are responsible for ensuring your use complies with TikTok's Terms of Service, applicable laws, and data-protection regulations. Use the data for research and analysis purposes only.

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