This skill guides you on how to query and analyze the TikTok top selling product rankings via the FastMoss data source, helping cross-border e-commerce sellers identify hot-selling products across TikTok's global markets by day, week, or month.
The TikTok Top Selling Ranking tracks the best-performing products on TikTok Shop across 9 global markets. It reveals which products are leading in sales volume, GMV, and growth rate over configurable time windows (daily, weekly, monthly). This is an essential tool for product scouting, trend analysis, and competitive intelligence in TikTok e-commerce.
Data scope: The ranking covers 9 TikTok Shop markets and supports three time granularities — day, week, and month — via the dateInfo parameter. Each product entry includes sales volume, GMV, growth rate, commission rate, shop information, category, and more.
dateInfo format is important:
"day" -> value: "2025-02-01" (YYYY-MM-DD)"week" -> value: "2025-18" (year-weekNumber)"month" -> value: "2025-02" (year-month)Pagination: Results are paginated. Use page (page number, starting from 1) and pageSize (items per page, max 10, default 10) to navigate through the result set.
| Parameter | Type | Required | Description |
|---|---|---|---|
| ----------- | ------ | ---------- | ------------- |
| region | string | Yes | Market region code (US, GB, MX, ES, ID, VN, MY, TH, PH) |
| dateInfo | object | Yes | Date specification with type (day/week/month) and value (see format above) |
| category | string | No | Category name in English, matched to TikTok category ID. Non-English input should be translated first |
| orderby | object | No | Sorting: field (units_sold/gmv/total_units_sold/total_gmv/growth_rate) + order (desc/asc). Default: desc |
| page | integer | No | Page number, default 1 |
| pageSize | integer | No | Items per page, max 10, default 10 |
| Code | Market |
|---|---|
| ------ | -------- |
| US | United States |
| GB | United Kingdom |
| MX | Mexico |
| ES | Spain |
| ID | Indonesia |
| VN | Vietnam |
| MY | Malaysia |
| TH | Thailand |
| PH | Philippines |
Default market is US. Use US when the user does not specify a market.
This tool calls the LinkFox tool gateway API. See references/api.md for calling conventions, request parameters, and response structure. You can also execute scripts/fastmoss_product_rank_top_selling.py directly to run queries.
1. Today's top selling products in the US (daily)
Query the US market for a specific day to see which products lead in sales.
region: "US", dateInfo: {"type": "day", "value": "2026-04-15"}
2. Weekly top sellers in the UK
Check the UK market for weekly best-performing products.
region: "GB", dateInfo: {"type": "week", "value": "2026-15"}
3. Monthly GMV leaders in Southeast Asia
Scout the Indonesian market for monthly top sellers sorted by GMV.
region: "ID", dateInfo: {"type": "month", "value": "2026-03"}, orderby: {"field": "gmv", "order": "desc"}
4. Category-specific ranking
Find top selling products in a specific category.
region: "US", dateInfo: {"type": "day", "value": "2026-04-15"}, category: "Beauty"
| Field | API Name | Description |
|---|---|---|
| ------- | ---------- | ------------- |
| Product Title | title | Name of the product |
| Product ID | productId | Unique product identifier |
| Region | region | Market region code |
| Price | price | Product price |
| Min Price | minPrice | Lowest price |
| Max Price | maxPrice | Highest price |
| Currency | currency | Currency code |
| Total Sales | totalSaleCnt | Total units sold |
| 1-Day Sales | totalSale1dCnt | Units sold in the last 1 day (when dateType=day) |
| 7-Day Sales | totalSale7dCnt | Units sold in the last 7 days (when dateType=week) |
| 30-Day Sales | totalSale30dCnt | Units sold in the last 30 days (when dateType=month) |
| Total GMV | totalSaleGmvAmt | Total gross merchandise value |
| 1-Day GMV | totalSaleGmv1dAmt | GMV in the last 1 day (when dateType=day) |
| 7-Day GMV | totalSaleGmv7dAmt | GMV in the last 7 days (when dateType=week) |
| 30-Day GMV | totalSaleGmv30dAmt | GMV in the last 30 days (when dateType=month) |
| Growth Rate | growthRate | Sales growth rate (percentage) |
| Shop Name | shopName | Name of the seller's shop |
| Shop Total Units Sold | shopTotalUnitsSold | Total units sold by the shop |
| Shop Seller ID | shopSellerId | Unique shop seller identifier |
| Category Name | categoryName | Product category |
| Commission Rate | productCommissionRate | Commission rate in basis points (1000 = 10%) |
| Image URL | imageUrl | Product image URL |
| Delisted Status | offShelvesText | Delisted indicator ("是" = delisted, "否" = active) |
offShelvesText value "是" means delisted, "否" means active -- clarify this for userstype and value must be provided with specific format requirementspageSize parameter cannot exceed 10Applicable -- TikTok top selling product rankings and trend analysis:
| User Says | Scenario |
|---|---|
| ----------- | ---------- |
| "What are the top selling products on TikTok" | Top selling ranking lookup |
| "TikTok bestsellers this week", "hot products on TikTok Shop" | Weekly/daily ranking query |
| "TikTok GMV ranking", "highest revenue products on TikTok" | GMV-based ranking |
| "TikTok category hot sellers", "top selling beauty products on TikTok" | Category-specific ranking |
| "TikTok weekly product report", "monthly top sellers" | Time-dimension analysis |
| "FastMoss top selling", "FastMoss ranking data" | Direct data source reference |
| "Which products are growing fastest on TikTok" | Growth rate sorted ranking |
Not applicable -- Needs beyond TikTok top selling rankings:
Boundary judgment: When users say "product research" or "what's selling well", if the context clearly involves TikTok Shop or TikTok e-commerce rankings, this skill applies. If they are asking about Amazon, Shopify, or other platforms, it does not apply. If they want to search products by keyword rather than browse rankings, use linkfox-fastmoss-product-search instead.
Feedback:
Auto-detect and report feedback via the Feedback API when any of the following apply:
Call the feedback API as specified in references/api.md. Do not interrupt the user's flow.
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