Use SellerSprite data to find and analyze competitors on Amazon, covering 12 marketplaces, with product metrics including sales, BSR, pricing, ratings, and growth trends. Trigger when the user mentions competitor lookup, competitor analysis, ASIN reverse lookup, competitive product research, finding similar products, market competitor discovery, product benchmarking, competitor sales estimation, analyzing competitor listings, competitor analysis, ASIN reverse lookup, competitor sales, competitor research, SellerSprite, market competitor discovery, competitor trends. Even if the user does not explicitly mention "SellerSprite" or "competitor lookup", if their need involves discovering and analyzing Amazon competitors by ASIN, keyword, seller name, brand, or category, this skill should also be triggered.
Instalar com Codex ou Claude Copie este prompt, cole no Codex, Claude ou outro assistente e deixe que ele revise a página da skill e instale para você.
Um comando direto ignora o prompt de revisão. Verifique a origem antes de executá-lo.
Instruções da origem · Visualização somente leitura
name
ecommerce.amazon-competitor-lookup
description
Use SellerSprite data to find and analyze competitors on Amazon, covering 12 marketplaces, with product metrics including sales, BSR, pricing, ratings, and growth trends. Trigger when the user mentions competitor lookup, competitor analysis, ASIN reverse lookup, competitive product research, finding similar products, market competitor discovery, product benchmarking, competitor sales estimation, analyzing competitor listings, competitor analysis, ASIN reverse lookup, competitor sales, competitor research, SellerSprite, market competitor discovery, competitor trends. Even if the user does not explicitly mention "SellerSprite" or "competitor lookup", if their need involves discovering and analyzing Amazon competitors by ASIN, keyword, seller name, brand, or category, this skill should also be triggered.
SellerSprite Competitor Lookup
This skill guides you on how to query and analyze Amazon competitor product data, helping Amazon sellers discover competing products, benchmark performance, and extract actionable competitive intelligence.
Core Concepts
The SellerSprite Competitor Lookup tool provides comprehensive Amazon product data across 12 marketplaces. It allows querying products by ASIN, keyword, seller name, brand, or category, and returns detailed metrics including monthly sales volume, revenue, BSR ranking, pricing, ratings, and growth trends.
Data snapshots: The tool supports both real-time data (last 30 days) and historical monthly snapshots. Use nearly (default) for current data or a yyyyMM format (e.g., 202501) for historical snapshots. Historical snapshots capture all active listings for that month, enabling year-over-year and seasonal comparisons.
Category hierarchy: Amazon category names support multi-level paths separated by colons (:). For example, Electronics:Computers & Accessories:Monitors. Convert user-provided category descriptions into the proper colon-separated format.
Supported Marketplaces
US (United States), UK (United Kingdom), DE (Germany), FR (France), JP (Japan), CA (Canada), IT (Italy), ES (Spain), MX (Mexico), AU (Australia), TR (Turkey), IN (India)
Default marketplace is US. Use US when the user does not specify a marketplace.
Parameter Guide
Search Filters
Parameter
Description
Example
marketplace
Amazon marketplace code
US, UK, DE, JP
keyword
Search keyword (translate to the marketplace language)
Cost constraint: This tool consumes credits; the same session and parameter combination is called only once by default, with a 24h local cache in the script. On failure or empty results, do not automatically retry with different keywords, pagination, or postal codes; inform the user about additional consumption before continuing to search.
Output strategy (script default behavior):
Always write the full response to <cwd>/nexscope/<YYYY-MM-DD>/<session>/data/nexscope-sellersprite-competitor-lookup-<timestamp>.json (<cwd> is the working directory at script execution time, i.e. the current project directory in Claude Code; <session> is taken from the SESSION_ID env var, auto-grouped by user task; do not write to /tmp, error if current directory is not writable)
Response body <= 8 KB: print full JSON to stdout after saving
Response body > 8 KB: print only summary to stdout after saving (top-level fields, common counts like total/costToken, length of largest list field + first 3 samples)
Add --inline to force full output to stdout (still saves to disk)
Data reading tip: Check the summary first to decide if it's enough; when specific fields are needed, prefer using jq or ConvertFrom-Json to extract from the saved json file on demand, avoiding loading the entire JSON into context.
Use case: Examine all variation-level data for a product family.
Display Rules
Present data clearly: Show query results in well-formatted tables. Include key metrics such as ASIN, title, price, monthly sales, BSR, rating, and brand. Do not provide subjective business advice unless the user asks for it.
Keyword language: When searching by keyword, always translate the keyword to the target marketplace language (e.g., English for US/UK, German for DE, Japanese for JP). Remind the user of this if they provide keywords in the wrong language.
BSR clarification: When displaying BSR data, remind users that a lower BSR value indicates stronger sales performance.
Growth metrics: When showing growth rates, clarify whether positive values mean improvement or decline (positive BSR growth count means BSR increased, which means worsened ranking).
Pagination notice: When the total result count exceeds the returned page size, inform the user of the total count and offer to fetch additional pages.
Badge highlights: When products carry badges (Best Seller, Amazon's Choice, A+ Content, Video), highlight these in the results as they are important competitive signals.
Error handling: When a query fails, explain the reason based on the message field and suggest adjusting query parameters.
Snapshot guidance: When users want to do seasonal or trend analysis, proactively suggest using historical snapshots (e.g., last year's same month) for comparison.
Important Limitations
Result cap: Each page returns 10-100 records (controlled by size). Use pagination for larger result sets.
ASIN limit: A maximum of 40 ASINs can be queried at once via asinList.
Historical snapshots: Only existing monthly snapshots can be queried; future dates are not supported.
Keyword language: Keywords should match the marketplace language for best results.
User Expression & Scenario Quick Reference
Applicable -- Amazon competitor product data queries:
User Says
Scenario
"Find competitors for this ASIN"
ASIN-based competitor lookup
"Top sellers for wireless earbuds"
Keyword-based product discovery
"What is this seller selling"
Seller product portfolio analysis
"Show me products in Electronics category"
Category-based browsing
"Monthly sales for these ASINs"
Sales estimation for specific products
"New products gaining traction"
Growth trend detection
"Compare products across brands"
Brand benchmarking
"How was this niche last December"
Historical snapshot analysis
"Best sellers with high ratings"
Multi-metric filtering
"FBA vs FBM in this category"
Fulfillment type analysis
Not applicable -- Needs beyond competitor product data:
ABA search term data or keyword ranking (use ABA Data Explorer instead)
