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.
Core Concepts
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:
- type:
"day"-> value:"2025-02-01"(YYYY-MM-DD) - type:
"week"-> value:"2025-18"(year-weekNumber) - type:
"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 Guide
| 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 |
Supported Markets
| 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.
API Usage
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.
Usage Examples
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"
Data Fields (Response)
| 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) |
Display Rules
- Present data only: Show query results in clear tables without subjective business advice
- Growth rate: Growth rate is in percentage -- show with % sign
- Commission rate: Commission rate is in basis points (1000 = 10%) -- convert to percentage for display
- Currency awareness: Always display currency alongside prices since different markets use different currencies
- dateInfo format: Validate and remind users of the correct format for the selected time granularity
- Delisted status:
offShelvesTextvalue "是" means delisted, "否" means active -- clarify this for users
Important Limitations
- dateInfo is mandatory: Both
typeandvaluemust be provided with specific format requirements - No keyword search: This tool does NOT support keyword search (use linkfox-fastmoss-product-search for that)
- Max 10 items per page: The
pageSizeparameter cannot exceed 10 - Data delay: Data has T+1 statistical delay
User Expression & Scenario Quick Reference
Applicable -- 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:
- Amazon product research or ABA keyword data
- TikTok advertising / ad campaign management
- TikTok content creation or video editing
- Product reviews or listing copywriting
- TikTok product keyword search (use linkfox-fastmoss-product-search instead)
- Profit margin calculations or pricing strategy
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:
- The functionality or purpose described in this skill does not match actual behavior
- The skill's results do not match the user's intent
- The user expresses dissatisfaction or praise about this skill
- Anything you believe could be improved
Call the feedback API as specified in references/api.md. Do not interrupt the user's flow.
Handling Large Responses
To avoid overflowing the agent context, persist the response to disk and extract only the fields you need:
python scripts/response_io.py run --script scripts/fastmoss_product_rank_top_selling.py --out-dir <DIR> '<params>'
python scripts/response_io.py read <file> --fields "<paths>" # or --path "<JMESPath>"
Pick
--out-diroutside any git working tree (e.g./tmp/...on Unix,%TEMP%/...on Windows). Persisted responses may contain PII, pricing, or auth-sensitive data — do not commit them. Files are not auto-deleted; clean up when the task is done.
run writes the full response to a file and emits only a schema preview + file path. read projects specific fields, with --limit/--offset for slicing and --format json|jsonl|csv|table for output.
When to prefer this pattern — apply your judgment based on the response characteristics, e.g.:
- High field count per record, or fields you don't need
- Batch/paginated results (multiple items per call)
- Long-text fields (descriptions, reviews, HTML, time series)
- Output reused across later steps rather than consumed immediately
For small, single-use responses, calling the main script directly is fine.
⚠️ The preview is a truncated schema + sample, not the full data. Any field-level decision must read from the persisted file via read.
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