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linkfox-amazon-searchLinkfox 亚马逊搜索

Agent Skill

linkfox-amazon-search 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

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安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:linkfox-amazon-search(Linkfox 亚马逊搜索)
来源仓库:https://github.com/linkfox-ai/linkfox-amazon-search
安装命令:
openclaw skills install linkfox-amazon-search
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install linkfox-amazon-search

简介

模拟前台搜索获取关键词实时排名与搜索结果页数据。

  • 适用于 SEO 优化、广告位分析与竞品监控。
  • 返回广告与自然排名位置及价格对比信息。
  • 搜索结果受地域与账号状态影响,存在波动可能。
  • 建议多时段采样以提高数据代表性。linkfox-amazon-search 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

name
linkfox-amazon-search
description
模拟真实用户在亚马逊前台搜索,获取实时关键词排名和搜索结果页数据。当用户提到亚马逊商品搜索、搜索结果抓取、关键词在搜索页的排名、ASIN排名位置查询、竞品发现、搜索页价格对比、广告商品分析、新品监控、前台搜索模拟、Amazon search, keyword ranking, search results, ASIN ranking position, competitor discovery, price comparison, sponsored product analysis, real-time search, new product monitoring时触发此技能。即使用户未明确提及"搜索模拟",只要其需求涉及实时亚马逊搜索结果、商品排位数据或前台SERP分析,也应触发此技能。

Amazon Product Search

This skill guides you on how to perform Amazon storefront search simulations, helping Amazon sellers retrieve real-time search result data including product rankings, prices, ratings, and more.

Core Concepts

This tool simulates a real user searching on Amazon's storefront. It returns live search result page (SERP) data: product listings with their positions, prices, ratings, review counts, brands, delivery info, sponsored flags, and more. This is real-time data directly from the Amazon frontend, not historical analytics.

Key distinction from ABA data: ABA data is aggregated historical search term analytics. This tool returns the actual product listings a user would see when searching a keyword on Amazon right now.

Keyword language: Keywords should be in the language of the target marketplace. For example, use English keywords for amazon.com, German keywords for amazon.de, Japanese keywords for amazon.co.jp, etc.

Parameters

ParameterTypeRequiredDescriptionDefault
keywordstringNoSearch keyword (translate to the target marketplace's language)-
amazonDomainstringNoAmazon marketplace domainamazon.com
nodestringNoAmazon category node ID for category-scoped searches-
languagestringNoLanguage locale code (e.g., en_US, de_DE, ja_JP)-
sortstringNoSort order for resultsrelevanceblender
pageintegerNoPage number (starting from 1, ~20 results per page)1
deliveryZipstringNoPostal/zip code for delivery location simulation-
devicestringNoDevice type: desktop, mobile, or tabletdesktop

Supported Marketplaces

DomainCountry
amazon.comUnited States
amazon.co.ukUnited Kingdom
amazon.deGermany
amazon.frFrance
amazon.itItaly
amazon.esSpain
amazon.co.jpJapan
amazon.caCanada
amazon.com.auAustralia
amazon.com.brBrazil
amazon.inIndia
amazon.nlNetherlands
amazon.seSweden
amazon.plPoland
amazon.sgSingapore
amazon.saSaudi Arabia
amazon.aeUnited Arab Emirates
amazon.com.mxMexico
amazon.com.trTurkey
amazon.com.beBelgium
amazon.cnChina
amazon.egEgypt

Default marketplace is amazon.com. Use amazon.com when the user doesn't specify a marketplace.

Sort Options

ValueDescription
relevanceblenderFeatured / Relevance (default)
price-asc-rankPrice: Low to High
price-desc-rankPrice: High to Low
review-rankAverage Customer Review
date-desc-rankNewest Arrivals
exact-aware-popularity-rankBest Sellers

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/amazon_search.py directly to run queries.

How to Build Queries

Construct the request parameters based on the user's intent:

  1. Determine the marketplace: Map the user's target country to the correct amazonDomain value
  2. Set the keyword: Translate the search term into the target marketplace's language
  3. Choose sort order: If the user wants results sorted by price, reviews, or newness, set the sort parameter
  4. Pagination: Use the page parameter to fetch additional result pages if needed
  5. Category scope: If the user wants to search within a specific category, provide the node parameter
  6. Delivery simulation: Use deliveryZip to see location-specific availability and delivery info

Usage Examples

1. Basic keyword search on US marketplace

{"keyword": "wireless earbuds", "amazonDomain": "amazon.com"}

2. Search on German marketplace with German keyword

{"keyword": "kabellose Kopfhoerer", "amazonDomain": "amazon.de", "language": "de_DE"}

3. Search sorted by price (low to high)

{"keyword": "phone case", "amazonDomain": "amazon.com", "sort": "price-asc-rank"}

4. Search for best sellers in a category

{"keyword": "yoga mat", "amazonDomain": "amazon.com", "sort": "exact-aware-popularity-rank"}

5. Search for newest arrivals on Japan marketplace

{"keyword": "USB充電器", "amazonDomain": "amazon.co.jp", "language": "ja_JP", "sort": "date-desc-rank"}

6. Multi-page search to analyze deeper results

{"keyword": "laptop stand", "amazonDomain": "amazon.com", "page": 2}

7. Mobile device search simulation

{"keyword": "running shoes", "amazonDomain": "amazon.com", "device": "mobile"}

8. Category-scoped search with delivery zip

{"keyword": "office chair", "amazonDomain": "amazon.com", "deliveryZip": "10001"}

Display Rules

  1. Present data clearly: Show search results in well-structured tables with key fields: position, ASIN, title, price, rating, review count, brand
  2. Highlight sponsored products: Clearly mark which results are sponsored ads vs organic listings
  3. Price formatting: Display prices with the correct currency symbol for the marketplace
  4. Position context: Remind users that position reflects the actual ranking on the search result page
  5. Pagination notice: When results span multiple pages, inform the user how many total results were found and suggest fetching additional pages if needed
  6. Error handling: When a query fails, explain the reason based on the error response and suggest adjusting parameters
  7. Image links: If image URLs are available, mention them but do not attempt to render them inline unless the user requests it

Important Limitations

  • Real-time only: This tool returns live search results, not historical data. For historical search term analytics, use ABA data instead
  • Rate awareness: Each call simulates a real search request; avoid excessive rapid-fire calls
  • ~20 results per page: Each page returns approximately 20 product listings
  • Keyword language matters: Results quality depends on using the correct language for the target marketplace

User Expression & Scenario Quick Reference

Applicable -- Real-time Amazon search result queries:

User SaysScenario
"Search for XX on Amazon"Basic product search
"What products appear for keyword XX"Keyword SERP analysis
"Where does my ASIN rank for XX keyword"Position / ranking check
"Show me the top results for XX"Competitive landscape
"What's the price range for XX"Price comparison
"Any sponsored products for XX keyword"Sponsored ad analysis
"New products for XX keyword"New arrival monitoring
"Search XX on Amazon Germany/Japan/UK"Cross-marketplace search
"What are the best sellers for XX"Best seller discovery
"Compare search results on mobile vs desktop"Device-specific SERP

Not applicable -- Needs beyond real-time search results:

  • Historical search term volume or ranking trends (use ABA data)
  • Advertising campaign management or bid optimization
  • Product review analysis or sentiment analysis
  • Sales estimation or revenue analytics
  • Listing optimization or copywriting suggestions
  • Inventory or supply chain data

Boundary judgment: When users say "product research" or "competitor analysis", if it boils down to seeing what currently appears on Amazon search results for a keyword (product positions, prices, ratings), then this skill applies. If they want historical trends, search volume data, or aggregated analytics, ABA data is more appropriate.

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.


*For more high-quality, professional cross-border e-commerce skills, set LinkFox Skills.*

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安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

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