← 返回 Skills 市场
linkfox-ai

Walmart Search

作者 linkfox-ai · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
87
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install linkfox-walmart-search
功能描述
按关键词、品类、价格区间等条件搜索和浏览沃尔玛商品listing。当用户提到Walmart商品搜索、沃尔玛商品listing、沃尔玛价格对比、沃尔玛竞品分析、沃尔玛选品调研、沃尔玛市场数据、在沃尔玛上查找商品、Walmart search, Walmart products, Walmart product se...
使用说明 (SKILL.md)

Walmart Product Search

This skill enables you to search and retrieve Walmart product listing data, helping e-commerce sellers and researchers extract actionable insights from Walmart's marketplace.

Core Concepts

Walmart Product Search retrieves real-time product listing data from Walmart's marketplace. It supports keyword-based search, category browsing, price filtering, sorting options, and device-specific results. This is a direct search tool that returns current product listings as they appear on Walmart.com.

Search modes: You can search by keyword, by category ID, or by combining both. At least one of keyword or categoryId must be provided.

Sorting options: Results can be sorted by best_seller, best_match, price_low (price ascending), or price_high (price descending). When no sort is specified, the default relevance-based ranking applies.

Pagination: Results are paginated with a default of page 1. The maximum page number is 100.

Parameter Guide

Parameter Type Required Description
keyword string No* Search keyword (max 1024 chars). *At least one of keyword or categoryId must be provided
categoryId string No* Category ID for browsing. *At least one of keyword or categoryId must be provided. Use 0 for all departments
sort string No Sort order: best_seller, best_match, price_low, price_high
page integer No Page number (1-100, default 1)
minPrice number No Minimum price filter
maxPrice number No Maximum price filter
spelling boolean No Enable spelling correction (default true)
softSort boolean No Sort by relevance (default true). Set to false to disable
storeId string No Store ID for store-specific results
device string No Device type: desktop (default), tablet, mobile
facet string No Filter facets in key:value format, separated by ||
nextDayEnabled boolean No Show only NextDay delivery results (default false)
jsonRestrictor string No JSON field restrictor to limit returned fields

Product Data Fields

Field Description
productId Walmart product ID
usItemId US item ID
title Product title
description Product description
price Current price
wasPrice Original price before discount
currency Currency code
minPrice Minimum price (for multi-option products)
pricePerUnitAmount Per-unit price amount
pricePerUnit Per-unit price label
rating Average rating score
reviews Total number of reviews
sellerName Seller name
sellerId Seller ID
imageUrl Product thumbnail URL
productPageUrl Product detail page URL
sponsored Whether the listing is a sponsored ad
outOfStock Whether the product is out of stock
freeShipping Whether free shipping is available
twoDayShipping Whether two-day shipping is available
freeShippingWithWalmartPlus Free shipping with Walmart Plus membership
shippingPrice Shipping cost
multipleOptionsAvailable Whether the product has multiple variants
variantSwatches List of variant options with names and images

Usage Examples

1. Basic keyword search Search for products matching a keyword:

{"keyword": "wireless earbuds"}

2. Price-filtered search Find products within a specific price range:

{"keyword": "laptop stand", "minPrice": 10, "maxPrice": 50}

3. Best sellers in a category Browse top-selling products sorted by popularity:

{"keyword": "coffee maker", "sort": "best_seller"}

4. Budget shopping -- lowest price first Find the cheapest options for a product:

{"keyword": "phone case", "sort": "price_low"}

5. Category browsing with pagination Browse a specific category across multiple pages:

{"categoryId": "976759_976787", "page": 2}

6. Store-specific inventory check Search products available at a specific Walmart store:

{"keyword": "tent", "storeId": "1862"}

7. Mobile results simulation See results as they appear on mobile devices:

{"keyword": "water bottle", "device": "mobile"}

8. Combined filters Apply multiple filters for precise results:

{"keyword": "running shoes", "minPrice": 30, "maxPrice": 80, "sort": "best_match"}

Display Rules

  1. Present data clearly: Show search results in well-structured tables with key fields (title, price, rating, reviews, seller). Do not add subjective buying recommendations unless the user asks for analysis.
  2. Price formatting: Always display prices with the currency symbol. When wasPrice is present, show both current and original prices to highlight discounts.
  3. Rating context: Display ratings alongside review counts so users can judge credibility (e.g., "4.5 stars from 1,230 reviews").
  4. Stock status: Clearly flag out-of-stock items so users do not overlook availability issues.
  5. Sponsored labeling: Mark sponsored products so users can distinguish organic from paid placements.
  6. Pagination guidance: When results have a large total count, inform the user of the total and suggest paginating with the page parameter to see more.
  7. Error handling: When a query fails, explain the error clearly and suggest adjusting parameters (e.g., broadening the keyword, changing filters).
  8. Product links: When showing results, include productPageUrl so users can navigate directly to the Walmart product page.

User Expression & Scenario Quick Reference

Applicable -- Walmart product listing queries:

User Says Scenario
"Search Walmart for XX" Keyword search
"Find cheap XX on Walmart" Price-filtered search
"What's the best-selling XX on Walmart" Best-seller sort
"Compare prices for XX on Walmart" Price comparison
"Is XX in stock at Walmart" Availability check
"Show me Walmart products under $50" Price-range browse
"What are the top-rated XX on Walmart" Rating-based filtering
"Walmart competitor products for XX" Competitive research

Not applicable -- Needs beyond Walmart product listings:

  • Walmart seller account management or advertising
  • Walmart order tracking or purchase history
  • Product reviews text analysis (only rating/count is available)
  • Historical price tracking or price trend analysis
  • Walmart affiliate or API key management

Boundary judgment: When users say "product research" or "competitor analysis" in the context of Walmart, if their need involves searching for current product listings, prices, ratings, or seller information, then this skill applies. If they are asking about advertising strategy, account metrics, or historical sales data, it does not apply.

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.

安全使用建议
This skill will send user search queries to a LinkFox gateway (tool-gateway.linkfox.com) and requires an API key (LINKFOXAGENT_API_KEY) although the registry metadata does not declare it. Before installing: (1) verify and trust the LinkFox service and its privacy policy — queries and any product/context you send will be routed there; (2) ask the publisher to update the skill metadata to declare required environment variables and explain why the gateway is used instead of calling Walmart directly; (3) avoid supplying other secrets (AWS, Walmart, or system tokens); (4) if you need to evaluate safely, run the included script in an isolated environment and inspect network traffic or request a self‑hosted / direct Walmart integration instead. If the skill's source/publisher is unknown or untrusted, treat data you send through it as shared with a third party.
功能分析
Type: OpenClaw Skill Name: linkfox-walmart-search Version: 1.0.0 The skill is a legitimate tool for searching Walmart product listings via the LinkFox API gateway. The Python script (walmart_search.py) uses standard libraries to perform authorized POST requests, and the instructions in SKILL.md are strictly aligned with the stated purpose of e-commerce research and data presentation.
能力评估
Purpose & Capability
The skill's stated purpose (search Walmart product listings) is coherent with calling an API, but the code and API docs show it uses a LinkFox gateway (https://tool-gateway.linkfox.com) and requires an API key for that gateway. The registry metadata lists no required environment variables or primary credential — a direct mismatch (the skill will fail without LINKFOXAGENT_API_KEY).
Instruction Scope
Runtime instructions and the included script send user queries to an external LinkFox endpoint and also reference a separate feedback API (skill-api.linkfox.com). The SKILL.md triggers broadly on any Walmart‑search intent, but does not clearly disclose that user search queries will be sent to a third party. The instructions do not read local files, but they do transmit user-supplied query data off‑agent to an external service.
Install Mechanism
There is no install spec (instruction-only deployment), and no downloads or extraction. The only executable code is a small included Python script; nothing is fetched from arbitrary URLs during install.
Credentials
The script expects LINKFOXAGENT_API_KEY (used in Authorization header) and points users to an internal Feishu wiki to obtain it, but the skill's registry metadata does not declare any required env vars. Requiring a gateway API key (not a Walmart key) is plausible but should be declared and justified in the metadata; absent that, this is disproportionate and opaque.
Persistence & Privilege
The skill does not request 'always: true' or other elevated persistent privileges, and it does not modify other skills or system configs. It runs only when invoked.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install linkfox-walmart-search
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /linkfox-walmart-search 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.0
Initial release
元数据
Slug linkfox-walmart-search
版本 1.0.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

Walmart Search 是什么?

按关键词、品类、价格区间等条件搜索和浏览沃尔玛商品listing。当用户提到Walmart商品搜索、沃尔玛商品listing、沃尔玛价格对比、沃尔玛竞品分析、沃尔玛选品调研、沃尔玛市场数据、在沃尔玛上查找商品、Walmart search, Walmart products, Walmart product se... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 87 次。

如何安装 Walmart Search?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install linkfox-walmart-search」即可一键安装,无需额外配置。

Walmart Search 是免费的吗?

是的,Walmart Search 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Walmart Search 支持哪些平台?

Walmart Search 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 Walmart Search?

由 linkfox-ai(@linkfox-ai)开发并维护,当前版本 v1.0.0。

💬 留言讨论