This skill guides you on how to search and filter Amazon products via Sorftime across multiple dimensions, helping Amazon sellers discover products, analyze competitors, and explore market opportunities.
Core Concepts
Sorftime Product Search supports multi-dimensional product retrieval with 16 query types, single or multi-condition AND combinations, and historical monthly snapshot lookback from January 2024. Data covers pricing, BSR rankings, monthly sales, FBA fees, and profit analysis.
Key differentiator: This tool is for searching and filtering across products. If you need detailed trend data (sales/price/BSR history) for a specific ASIN, use the Sorftime Product Detail skill instead.
Data Fields
| Field | API Name | Description | Example |
|---|---|---|---|
| ASIN | asin | Amazon Standard Identification Number | B0CVM8TXHP |
| Product Title | title | Product listing title | Anker Portable Charger... |
| Brand | brand | Brand name | Anker |
| Current Price | price | Price before Coupon, local currency (e.g., USD) | 29.99 |
| Sale Price | salesPrice | Actual selling price after Coupon, local currency | 25.99 |
| Strikethrough Price | oldPrice | Original list price, local currency | 39.99 |
| Coupon | coupon | >0 = discount amount (500=$5); <0 = percentage (-10=10% off) | -15 |
| BSR Rank | salesRank | Best Seller Rank in main category | 1523 |
| Monthly Sales | monthlySalesUnits | 30-day sales volume (Listing level); -1 = cannot estimate | 4500 |
| Monthly Revenue | monthlySalesRevenue | Estimated monthly revenue, local currency; -1 = N/A | 116955.00 |
| Daily Sales | listingSalesVolumeOfDaily | Daily sales volume; -1 = cannot estimate | 150 |
| Daily Revenue | listingSalesOfDaily | Daily revenue, local currency; -1 = N/A | 3898.50 |
| Rating | rating | Current rating (0.0-5.0) | 4.70 |
| Rating Count | ratings | Number of ratings | 12580 |
| Listing Date | availableDate | Listing date (yyyy-MM-dd) | 2022-03-15 |
| Days Online | onlineDays | Days since listing | 850 |
| FBA Fees | fbaFees | FBA fulfillment fee, local currency | 5.40 |
| Platform Fee | platformFee | Platform commission, local currency | 3.90 |
| Profit | profitAmount | Sale price - FBA - commission, local currency | 16.69 |
| Profit Rate | profitRate | Profit margin, e.g., 25.83 = 25.83% | 25.83 |
| FBA Status | isFBA | Whether Buybox seller uses FBA | true |
| Buybox Seller | buyboxSeller | Buybox winning seller name | AnkerDirect |
| Seller Country | buyboxSellerAddress | Seller country code (CN, US); null if Amazon-operated | CN |
| Seller ID | buyBoxSellerId | Buybox seller ID | A294P4X9EWVXLJ |
| Category | category | Main category [name, NodeId] | ["Cell Phones", "2811119011"] |
| Sub-category | bsrCategory | Sub-category rankings list | [{nodeId, name, rank, date}] |
| Variations | variationNum | Number of variations | 5 |
| Parent ASIN | parentAsin | Parent ASIN if has variations, null otherwise | B0088PUEPK |
| Weight | weight | Weight in grams | 350 |
| Size | size | Dimensions in cm [longest, 2nd, shortest] | [18.5, 8.2, 3.1] |
| Main Image | imageUrl | Main product image URL | https://... |
| Listing URL | asinUrl | Amazon product page URL | https://www.amazon.com/dp/... |
Supported Marketplaces
US (United States), GB (United Kingdom), DE (Germany), FR (France), IN (India), CA (Canada), JP (Japan), ES (Spain), IT (Italy), MX (Mexico), AE (United Arab Emirates), AU (Australia), BR (Brazil), SA (Saudi Arabia)
Default marketplace is US. Use us when the user doesn't specify a marketplace.
Note: Sorftime uses lowercase codes (e.g., us, gb, de), and UK is coded as gb (not uk).
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/sorftime_product_search.py directly to run queries.
How to Build Queries
The key parameters are marketplace (required), queryMode, queryType, and queryValue. The query system has two modes and 16 filter types that can be combined flexibly.
Principles for Building Queries
- Always specify the marketplace: Use lowercase site codes, e.g.,
us,de,jp - Choose the right query mode: Use
queryMode=1for a single filter; usequeryMode=2to combine multiple filters with AND logic - Match queryType with queryValue format: Each queryType expects a specific format — see the table below. Mismatched formats will cause errors
- Mind price units: Price filters (queryType=8) use smallest currency unit (cents for USD), so $19.99 =
1999 - Use open ranges when appropriate: Omit one end for open range —
,1000means "up to 1000";100,means "100 or more" - Use queryMonth for historical comparison: Format
yyyy-MM; compare with a second call without queryMonth to see changes over time
Query Types (queryType, for queryMode=1)
| queryType | Name | queryValue Format | Example |
|---|---|---|---|
| 1 | ASIN Similar | ASIN | B0CVM8TXHP |
| 2 | Category | NodeId | 3743561 |
| 3 | Brand | Brand name | Anker |
| 4 | Seller Name | Store name | AnkerDirect |
| 5 | Seller ID | SellerId | A294P4X9EWVXLJ |
| 6 | ABA Keyword | Keyword | Power Bank |
| 7 | Title/Attribute Match | Keywords | 10,000mAh 30W |
| 8 | Price Range | min,max (in cents) |
1,1000 (=$0.01~$10) |
| 9 | Monthly Sales Range | min,max |
100,1000 |
| 10 | Seasonal Products | Month list | 1,2,3 (peak in Jan-Mar) |
| 11 | Listing Date Range | start,end (yyyy-MM-dd) |
2024-06-01,2024-12-01 |
| 12 | Rating Range | min,max |
3,5 |
| 13 | Review Count Range | min,max |
10,500 |
| 14 | Rank Range | bsr_min,bsr_max;sub_min,sub_max |
500,5000;1,100 |
| 15 | Fulfillment | FBA / FBM |
FBA,FBM |
| 16 | Variation Count | min,max |
1,50 |
Important: queryType=1 (ASIN Similar) finds products similar to the given ASIN, not the ASIN itself. To query a single product's detail, use the Sorftime Product Detail skill.
Historical Snapshots (queryMonth)
Set queryMonth (format yyyy-MM) to query a past month's product data snapshot. This lets users compare historical prices, rankings, and sales with current data.
- Supported range: January 2024 to present (~2 years)
- US, GB, DE support full "unlimited" lookback mode
- Other sites support Top 100 products only in lookback
- AU, BR, IN do not support lookback
Query Examples for Common Scenarios
1. Find competitors of a given ASIN
queryMode: 1, queryType: 1, queryValue: B0CVM8TXHP, marketplace: us
2. Browse a category's top products
queryMode: 1, queryType: 2, queryValue: 3743561, marketplace: us
3. Analyze a brand's product portfolio
queryMode: 1, queryType: 3, queryValue: Anker, marketplace: us
4. Search by ABA keyword
queryMode: 1, queryType: 6, queryValue: Power Bank, marketplace: us
5. Discover seasonal products (Q4 peak)
queryMode: 1, queryType: 10, queryValue: 10,11,12, marketplace: us
6. Compare historical vs current data
queryMonth: 2024-11, queryMode: 1, queryType: 2, queryValue: 3743561, marketplace: us
→ Compare with current data (no queryMonth) to see price/sales changes
7. Multi-condition: new FBA products with good sales
queryMode: 2
queryValue: [{"QueryType":11,"Content":"2024-06-01,"},{"QueryType":9,"Content":"300,"},{"QueryType":15,"Content":"FBA"}]
marketplace: us
8. Find low-price high-sales products
queryMode: 2
queryValue: [{"QueryType":8,"Content":",2000"},{"QueryType":9,"Content":"500,"}]
marketplace: us
9. Check a seller's product portfolio
queryMode: 1, queryType: 4, queryValue: AnkerDirect, marketplace: us
Display Rules
- Present data only: Show query results in clear tables without subjective business advice
- Ranking clarification: When showing ranking data, remind users that lower values mean better rankings
- Pagination notice: Search results return max 100 products per page, up to 200 pages. If results are large, show highlights and remind users to paginate
- Sales estimation caveat: Values of
-1in sales/revenue fields mean "cannot estimate" — explain this to the user rather than showing -1 directly - Error handling: When a query fails, explain the reason based on the
msgfield and suggest adjusting query criteria
Important Limitations
- Pagination: Max 100 products per page, max 200 pages
- Historical lookback: Only from January 2024; AU, BR, IN not supported
- Non-structured data: Results do not support secondary analysis via
_dataQuery_executeDynamicQuery - Sales estimation: Products in non-standard categories may return -1 for sales fields
- ABA keyword search (queryType=6): Currently only supports ABA keywords, not arbitrary search terms
User Expression & Scenario Quick Reference
Applicable - Product search and filtering on Amazon:
| User Says | Scenario |
|---|---|
| "Find products that sell well in this category" | Category exploration |
| "What are Anker's best-selling products" | Brand analysis |
| "What are the competing products for this ASIN" | Competitor discovery |
| "Help me find some seasonal products" | Seasonal product discovery |
| "Which new products have monthly sales over 500" | Filtered product discovery |
| "The price snapshot for this category during last year's Double 11" | Historical snapshot comparison |
| "What other products does this seller sell" | Seller portfolio |
| "Help me filter FBA products with a profit margin above 30%" | Profit-focused filtering |
| "Products with monthly sales above 1,000 and a rating of 4 stars or higher" | Multi-condition filtering |
| "Products whose titles contain wireless charger" | Title keyword search |
Not applicable - Needs beyond product search:
- Detailed trend/history data for a specific ASIN (use Sorftime Product Detail)
- ABA search term ranking data (use ABA Data Explorer)
- Advertising / PPC strategy
- Product reviews content analysis
- Patent or trademark checks
Boundary judgment: When users say "competitor analysis" or "market research", if they need to discover and compare products across dimensions (category, brand, price range, etc.), this skill applies. If they need historical trend curves for a specific ASIN, use the Product Detail skill. If they need keyword search volume data, use ABA Data Explorer.
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/sorftime_product_search.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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