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linkfox-sellersprite-competitor-lookup

Marketing & growth

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Updated 10-15 09:04

About this skill

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) wireless earbuds
asinList One or more ASINs, comma-separated (max 40) B072MQ5BRX,B08N5WRWNW
sellerName Seller name to filter by Anker Direct
brand Brand name to filter by Anker
nodeLabel Amazon category name (colon-separated levels) Electronics:Headphones
nodeIdPath Amazon category ID path 172282
matchType Keyword match mode: 1 = phrase, 2 = fuzzy, 3 = exact (default 1) 1
showVariation Show product variations: Y or N (default N) N
dataSnapshotMonth Data snapshot month (nearly for real-time, or yyyyMM) nearly

Pagination & Sorting

Parameter Description Example
page Page number, starting from 1 1
size Results per page, 10-100 (default 50) 50
order.field Sort field (see sort options below) total_units
order.desc Sort direction: true = descending, false = ascending true

Sort Field Options

Field Description
total_units Monthly sales units
total_amount Monthly sales revenue
bsr_rank BSR ranking
price Price
rating Rating score
reviews Number of reviews
profit Gross margin
reviews_rate Review rate
available_date Listing date
questions Q&A count
total_units_growth Monthly sales unit growth rate
total_amount_growth Monthly revenue growth rate
reviews_increasement Monthly new reviews
bsr_rank_cv 7-day BSR growth count
bsr_rank_cr 7-day BSR growth rate
amz_unit Variant sales units

Key Response Fields

Field Description
asin Product ASIN
title Product title
price Current price
monthlySalesUnits Monthly sales volume
monthlySalesRevenue Monthly sales revenue
bsr BSR ranking
bsrGrowthRate BSR growth rate
bsrGrowthCount BSR growth count
rating Rating score
ratings Number of ratings
ratingsGrowth Monthly new ratings
ratingsRate Review rate
brand Brand name
sellerName BuyBox seller
sellerNation BuyBox seller nationality
fulfillment Fulfillment type (AMZ/FBA/FBM)
availableDateString Listing date
profit Gross margin
nodeLabelPath Category path
imageUrl Product image URL
monthlySalesUnitsGrowthRate Monthly sales growth rate
listingQualityScore Listing quality score
variationNum Number of variations
parent Parent ASIN
badgeBestSeller Best Seller badge (Y/N)
badgeAmazonChoice Amazon's Choice badge (Y/N)
badgeEbc A+ Content (Y/N)
badgeVideo Video present (Y/N)

How to call

  • API endpoints:POST /sellersprite/competitor-lookup(for full parameters/responses/error codes, see references/api.md)
  • Python script:python scripts/sellersprite_competitor_lookup.py '<JSON 参数>' [--inline]
  • Cost constraints: this tool consumes computing power; by default the same parameter combination is called only once per session, and the script has a 24h local cache. On failure/empty results, do not automatically switch keywords, page through, or change zip codes to repeatedly probe; if retrieval needs to continue, first explain to the user that additional consumption will be incurred.

Output strategy (script default behavior):

  • Alwayswrite the full response to <cwd>/linkfox/<YYYY-MM-DD>/<session>/data/linkfox-sellersprite-competitor-lookup-<timestamp>.json(<cwd> is the working directory when the script runs, which in Claude Code is the current project directory;<session> is taken from the environment variable SESSION_ID, automatically aggregated according to the user task;writing to /tmp is prohibited, and if the current directory is not writable, report an error)
  • Response body ≤ 8 KB: after writing to disk, print the full JSON to stdout
  • Response body > 8 KB: after writing to disk, stdout outputs only a summary (top-level fields, common counts such as total/costToken, the length of the largest list field + the first 3 samples)
  • Add --inline to force full printing to stdout (also written to disk)

Data reading recommendations: first look at the summary to judge whether it is sufficient; when specific fields are needed, prefer using jqorConvertFrom-Json to extract on demand from the saved json file, avoiding bringing the entire JSON into context.

Resolve authentication and computing power issues

When the following abnormal situations occur, use references/onboarding.md to guide resolving the issue:

Abnormal situations

  • API Key not configured: the environment variable is not configured LINKFOX_AGENT_API_KEY, and LINKFOXAGENT_API_KEY。
  • The response has a 401 or 402 status code
  • The response indicates insufficient computing power or balance: the message contains "算力余额不足/计费不足/余额不足/quota exceeded/insufficient balance/套餐到期/需充值/请充值", or content with a similar meaning.

Usage Examples

1. Look up competitors by ASIN

{
  "marketplace": "US",
  "asinList": "B072MQ5BRX,B08N5WRWNW"
}

Use case: Analyze specific competing products by their ASINs.

2. Search competitors by keyword

{
  "marketplace": "US",
  "keyword": "wireless earbuds",
  "matchType": 1,
  "order": {"field": "total_units", "desc": "true"},
  "size": 20
}

Use case: Discover top-selling products for a keyword, sorted by monthly sales.

3. Filter by brand and category

{
  "marketplace": "US",
  "brand": "Anker",
  "nodeLabel": "Electronics:Headphones",
  "order": {"field": "total_amount", "desc": "true"}
}

Use case: Analyze a specific brand's product lineup within a category.

4. Find products by seller name

{
  "marketplace": "DE",
  "sellerName": "Anker Direct",
  "order": {"field": "bsr_rank", "desc": "false"}
}

Use case: View all products from a particular seller sorted by BSR.

5. Historical snapshot comparison

{
  "marketplace": "US",
  "keyword": "space heater",
  "dataSnapshotMonth": "202412",
  "order": {"field": "total_units", "desc": "true"},
  "size": 20
}

Use case: Analyze seasonal product performance using historical data snapshots.

6. Show product variations

{
  "marketplace": "JP",
  "asinList": "B0XXXXXXXXX",
  "showVariation": "Y"
}

Use case: Examine all variation-level data for a product family.

Display Rules

  1. 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.
  2. 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.
  3. BSR clarification: When displaying BSR data, remind users that a lower BSR value indicates stronger sales performance.
  4. 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).
  5. 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.
  6. 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.
  7. Error handling: When a query fails, explain the reason based on the message field and suggest adjusting query parameters.
  8. 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)
  • Advertising / PPC campaign management
  • Product reviews content or sentiment analysis
  • Listing copywriting or optimization suggestions
  • Supplier sourcing or manufacturing costs
  • Account health or policy compliance

Computing power consumption rules

Consumes 15 computing power.

Users will be charged for computing power consumption. Please fully evaluate: when this skill needs to be called frequently, or when the user has insufficient expectations for computing power consumption, be sure to remind the user and let the user decide whether to continue.

Feedback:

Auto-detect and report feedback via the Feedback API when any of the following apply:

  1. The functionality or purpose described in this skill does not match actual behavior
  2. The skill's results do not match the user's intent
  3. The user expresses dissatisfaction or praise about this skill
  4. Anything you believe could be improved

Call the feedback API as specified in references/api.md. Do not interrupt the user's flow.


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