# TikTok Trending Products - Product, Video & Price Feed (`seibs.co/tiktok-trending-products`) Actor Trending TikTok Shop products as a ready-to-use feed: each product with its driving video, price + sale price, 'X sold', rank, and (on scheduled runs) sales velocity + price history. From public Creative Center Top Products + product pages - no seller account, no Shop API. PPE pricing. - **URL**: https://apify.com/seibs.co/tiktok-trending-products.md - **Developed by:** [Seibs.co](https://apify.com/seibs.co) (community) - **Categories:** E-commerce, Social media, Business - **Stats:** 20 total users, 13 monthly users, 78.5% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $5.00 / 1,000 trending product records This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## TikTok Trending Products - Product, Video & Price Feed > **TL;DR for anyone running a trending-products site, TikTok Shop affiliates, and dropshippers:** A ready-to-use **data feed** of trending TikTok Shop products - each product paired with the **video driving it**, its **price + sale price**, **"X sold"**, category, and leaderboard rank. Schedule it daily and it also emits **sales velocity** (units/day) and **price history** per product. Built entirely from public surfaces (Creative Center Top Products + public product pages) - **no seller account, no TikTok Shop API, no data-security review.** Compared to paying Kalodata or FastMoss $99+/mo for a closed dashboard, this hands you the raw, normalized feed you can pipe straight into your own site or app. Priced as PPE: a run that returns nothing costs nothing. Free Apify plan covers small daily pulls on your $5 platform credit. ### Run it in 30 seconds ```python from apify_client import ApifyClient client = ApifyClient("") run = client.actor("seibs.co/tiktok-trending-products").call(run_input={ "mode": "feed", "region": "US", "period_days": 7, "max_products": 50 }) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) ```` Or via curl: ```bash curl -X POST "https://api.apify.com/v2/acts/seibs.co~tiktok-trending-products/run-sync-get-dataset-items?token=" \ -H "Content-Type: application/json" \ -d '{"mode": "feed", "region": "US", "period_days": 7, "max_products": 50}' ``` Or click "Try for free" on this page if you prefer the no-code UI. ### What you get Each run produces a clean dataset, filterable in the Apify console and downloadable as CSV or JSON, with two ready-made table views: **Trending feed** (rank / product / price / sold / driving video / buy link) and **Velocity & price history**. Each `trending_product` record is a complete feed item: product, image, price + sale price, "X sold", rating, category, rank, the driving TikTok video (URL + embed + creator + views), and a monetizable `buy_url`. ### What it does For a region + trend window, it builds a trending-products feed from three public surfaces - none of which need a seller account or the TikTok Shop API: 1. **Creative Center -> Top Products** (the trending leaderboard, and the friendliest TikTok surface to read). The browser tier renders the page and captures its own product-list call - we never forge a signature. This gives ranked products + each product's trend signal + the videos/ads that drove it. 2. **Public TikTok Shop product page** fills in **price, sale price, "X sold", rating** that Creative Center does not expose (the enrichment hop). 3. **Public TikTok video page** for the driving video's engagement (views/likes/creator). Then, on every **scheduled** run, it diffs against the previous snapshot and attaches **velocity + price history** per product. ### Modes | Mode | What you get | |------------|------------------------------------------------------------------------------| | `feed` | Full record: trending product + price/sales enrichment + driving video. The feed. | | `discover` | Trending leaderboard only (name / rank / category / trend). Cheap reconnaissance. | ### The feed record ```json { "record_type": "trending_product", "rank": 1, "region": "US", "category": "Beauty & Personal Care", "trend_window_days": 7, "product_id": "1729...", "product_name": "Wonderskin Lip Stain", "image_url": "...", "price": 24.0, "list_price": 32.0, "on_sale": true, "discount_pct": 25.0, "currency": "USD", "units_sold": 128500, "rating": 4.7, "shop_name": "Wonderskin Official", "buy_url": "https://shop.tiktok.com/view/product/1729...?aff_id=YOURID", "driving_video": { "video_id": "7390...", "video_url": "https://www.tiktok.com/@beautybyamy/video/7390...", "embed_url": "https://www.tiktok.com/embed/v2/7390...", "thumbnail_url": "...", "creator_handle": "@beautybyamy", "views": 4200000, "likes": 388000, "posted_at_epoch": 1718841600 }, "trend": { "trend_score": 0.92, "rank_change": 4, "first_seen": "2026-06-18T00:00:00+00:00" }, "velocity": { "units_sold_delta": 5100, "units_sold_per_day": 5100.0, "price_change": 0.0, "rank_change": 4, "is_new": false, "days_tracked": 7 }, "scraped_at": "2026-06-25T14:00:00+00:00" } ``` ### Velocity & price history (the part that makes "trending" real) A single snapshot only tells you what is *popular now*. "Trending" is **change over time**. So when this actor runs under an Apify **Schedule**, every run diffs against the previous snapshot and derives per product: - **`units_sold_per_day`** - estimated daily sales velocity from the "X sold" delta (the same method Kalodata/FastMoss sell). - **`price_change` / `price_change_pct`** - price history. - **`rank_change`** - climbing vs fading on the leaderboard. - **`is_new`** - just entered the leaderboard (the highest-value early signal for an affiliate). History only accrues forward, so the actor snapshots from its very first run. **Schedule it once and your moat compounds daily.** Set `monitor_webhook_url` to get the daily movers digest pushed to Slack. ### Inputs ```json { "mode": "feed", "region": "US", "period_days": 7, "max_products": 50, "enrich_price": true, "affiliate_tag": "aff_id=YOURID&source=dailyvirals", "monitor_webhook_url": "", "use_browser_fallback": true, "browser_cdp_url": "" } ``` `affiliate_tag` is appended to every `buy_url` so the feed is monetizable out of the box. ### Pricing | Event | What it covers | Price | |------------------------|-----------------------------------------------------------------------|----------| | `trending_product` | One ranked product + trend signal + driving video | $0.005 | | `enriched_product` | Price / sale price / "X sold" / rating filled from the product page | $0.005 | | `scheduled_delta_run` | Per scheduled run: velocity + price-history + movers digest | $0.050 | Pay-per-event: failed fetches are not charged. A run that returns nothing costs nothing. ### What you DON'T get For transparency: this surfaces **public, estimated** commerce signals. It does **not** return: - TikTok's official GMV (those numbers live behind the authenticated seller/partner API). Sales figures here are **estimates** derived from the public "X sold" delta - the same basis every third-party tool uses. - Other creators' private affiliate analytics (those require each creator's authorization via TikTok's CAP flow). ### Reliability - The browser tier captures Creative Center's own request (no forged signatures), TLS-impersonation (`curl_cffi`) for product pages, Apify RESIDENTIAL proxy for the browser leg. - Fail-soft throughout: a blocked surface emits a documented `surface_pending` note and the run still SUCCEEDS. Demo records when a pull comes back empty. - The Creative Center product-list endpoint path is confirmed/tuned on the first live browser run; the extractor parses defensively so a TikTok JSON reshape does not break the feed. ### Powering a website (e.g. a daily-virals feed) Schedule the actor daily, then have your site read the run's dataset via the Apify API: ``` GET https://api.apify.com/v2/acts/seibs.co~tiktok-trending-products/runs/last/dataset/items?token=&clean=true ``` That endpoint always returns the latest feed - point your frontend at it (or cache it) and the site updates itself every day. Velocity and price history ride along automatically. # Actor input Schema ## `mode` (type: `string`): feed = full record per product (trending product + price/sales enrichment + driving video; velocity + price history on scheduled runs). discover = the trending leaderboard only (name / rank / category / trend), no price or video enrichment - cheap reconnaissance. ## `region` (type: `string`): Two-letter market for the Top Products leaderboard (e.g. US, GB, DE, ID). Default US. ## `period_days` (type: `string`): Creative Center trend window: 7, 30, or 120 days. Shorter = fresher / more reactive trending signal. Default 7. ## `max_products` (type: `integer`): Hard cap on trending products per run. Default 50. Max 200. ## `enrich_price` (type: `boolean`): In feed mode, fetch each product's public TikTok Shop page to fill price, sale price, 'X sold', and rating that Creative Center does not expose. Adds an enriched\_product PPE charge per enriched product. Turn off to keep only the trending list + driving video. ## `affiliate_tag` (type: `string`): Appended as a query string to every product buy\_url so the feed is monetizable (e.g. 'aff\_id=YOURID\&source=dailyvirals'). Leave empty for clean links. ## `monitor_webhook_url` (type: `string`): When this actor runs under an Apify Schedule (monitor mode), post the daily movers digest (new entrants, fastest-selling, biggest climbers) to this Slack-compatible webhook URL. ## `use_apify_proxy` (type: `boolean`): Route requests through Apify Proxy. DATACENTER handles product pages; a RESIDENTIAL tier is provisioned for the browser tier that captures Creative Center's XHR. ## `use_browser_fallback` (type: `boolean`): Creative Center fires its product list via a signed XHR; capturing it needs the browser tier (we never forge the signature - the page fires its own call). ON by default: the browser now blocks images/media/fonts so a capture costs only a fraction of a cent. Turn off for a leaderboard-only run that returns a documented surface\_pending note + demo records instead of live products. ## `browser_cdp_url` (type: `string`): Optional. CDP/WebSocket endpoint of an already-running anti-detect browser. When set, the browser tier connects to it (inheriting its session + fingerprint + IP) to clear TikTok's edge most reliably. Otherwise a stealth headless Chromium launches (works on the playwright image). Can also be set as the BROWSER\_CDP\_URL env var. ## `apify_proxy_groups` (type: `array`): Override the auto-selected proxy group. Leave empty to let the actor pick DATACENTER for pages and RESIDENTIAL for the browser tier. ## `scroll_passes` (type: `integer`): How many times the browser scrolls the Top Products page to trigger deeper lazy-loaded products. More = more products but slower. Default 3. ## `concurrency` (type: `integer`): Parallel product-page enrichment fetches. TikTok is rate-sensitive; default 3. ## Actor input object example ```json { "mode": "feed", "region": "US", "period_days": "7", "max_products": 50, "enrich_price": true, "affiliate_tag": "", "monitor_webhook_url": "", "use_apify_proxy": true, "use_browser_fallback": true, "browser_cdp_url": "", "apify_proxy_groups": [], "scroll_passes": 3, "concurrency": 3 } ``` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "mode": "feed", "region": "US", "period_days": "7", "max_products": 50 }; // Run the Actor and wait for it to finish const run = await client.actor("seibs.co/tiktok-trending-products").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "mode": "feed", "region": "US", "period_days": "7", "max_products": 50, } # Run the Actor and wait for it to finish run = client.actor("seibs.co/tiktok-trending-products").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "mode": "feed", "region": "US", "period_days": "7", "max_products": 50 }' | apify call seibs.co/tiktok-trending-products --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=seibs.co/tiktok-trending-products", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "TikTok Trending Products - Product, Video & Price Feed", "description": "Trending TikTok Shop products as a ready-to-use feed: each product with its driving video, price + sale price, 'X sold', rank, and (on scheduled runs) sales velocity + price history. From public Creative Center Top Products + product pages - no seller account, no Shop API. PPE pricing.", "version": "0.1", "x-build-id": "yYkS4Qo6fHaD2ZBh8" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/seibs.co~tiktok-trending-products/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-seibs.co-tiktok-trending-products", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/seibs.co~tiktok-trending-products/runs": { "post": { "operationId": "runs-sync-seibs.co-tiktok-trending-products", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/seibs.co~tiktok-trending-products/run-sync": { "post": { "operationId": "run-sync-seibs.co-tiktok-trending-products", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "required": [ "mode" ], "properties": { "mode": { "title": "Mode", "enum": [ "feed", "discover" ], "type": "string", "description": "feed = full record per product (trending product + price/sales enrichment + driving video; velocity + price history on scheduled runs). discover = the trending leaderboard only (name / rank / category / trend), no price or video enrichment - cheap reconnaissance.", "default": "feed" }, "region": { "title": "Region", "type": "string", "description": "Two-letter market for the Top Products leaderboard (e.g. US, GB, DE, ID). Default US.", "default": "US" }, "period_days": { "title": "Trend window (days)", "enum": [ "7", "30", "120" ], "type": "string", "description": "Creative Center trend window: 7, 30, or 120 days. Shorter = fresher / more reactive trending signal. Default 7.", "default": "7" }, "max_products": { "title": "Max products", "minimum": 1, "maximum": 200, "type": "integer", "description": "Hard cap on trending products per run. Default 50. Max 200.", "default": 50 }, "enrich_price": { "title": "Enrich price + sales from product pages (feed mode)", "type": "boolean", "description": "In feed mode, fetch each product's public TikTok Shop page to fill price, sale price, 'X sold', and rating that Creative Center does not expose. Adds an enriched_product PPE charge per enriched product. Turn off to keep only the trending list + driving video.", "default": true }, "affiliate_tag": { "title": "Affiliate tag (optional)", "type": "string", "description": "Appended as a query string to every product buy_url so the feed is monetizable (e.g. 'aff_id=YOURID&source=dailyvirals'). Leave empty for clean links.", "default": "" }, "monitor_webhook_url": { "title": "Monitor webhook URL (Slack / email, optional)", "type": "string", "description": "When this actor runs under an Apify Schedule (monitor mode), post the daily movers digest (new entrants, fastest-selling, biggest climbers) to this Slack-compatible webhook URL.", "default": "" }, "use_apify_proxy": { "title": "Use Apify Proxy", "type": "boolean", "description": "Route requests through Apify Proxy. DATACENTER handles product pages; a RESIDENTIAL tier is provisioned for the browser tier that captures Creative Center's XHR.", "default": true }, "use_browser_fallback": { "title": "Browser tier (live Creative Center capture)", "type": "boolean", "description": "Creative Center fires its product list via a signed XHR; capturing it needs the browser tier (we never forge the signature - the page fires its own call). ON by default: the browser now blocks images/media/fonts so a capture costs only a fraction of a cent. Turn off for a leaderboard-only run that returns a documented surface_pending note + demo records instead of live products.", "default": true }, "browser_cdp_url": { "title": "Warm browser CDP endpoint (most reliable)", "type": "string", "description": "Optional. CDP/WebSocket endpoint of an already-running anti-detect browser. When set, the browser tier connects to it (inheriting its session + fingerprint + IP) to clear TikTok's edge most reliably. Otherwise a stealth headless Chromium launches (works on the playwright image). Can also be set as the BROWSER_CDP_URL env var.", "default": "" }, "apify_proxy_groups": { "title": "Proxy groups (optional override)", "type": "array", "description": "Override the auto-selected proxy group. Leave empty to let the actor pick DATACENTER for pages and RESIDENTIAL for the browser tier.", "default": [], "items": { "type": "string" } }, "scroll_passes": { "title": "Scroll passes (browser tier)", "minimum": 0, "maximum": 8, "type": "integer", "description": "How many times the browser scrolls the Top Products page to trigger deeper lazy-loaded products. More = more products but slower. Default 3.", "default": 3 }, "concurrency": { "title": "Max concurrent fetches", "minimum": 1, "maximum": 6, "type": "integer", "description": "Parallel product-page enrichment fetches. TikTok is rate-sensitive; default 3.", "default": 3 } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```