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Wenmai Alpha Walmart Fast Product Scraper

ASecurity

Walmart 商品快速采集接口,用于按商品链接、ID 或接口支持的查询条件获取商品详情、价格、库存、评分等数据。当用户提到 Walmart 商品查询、商品详情、价格对比、库存核验、竞品研究或 Walmart product scraper 时触发此技能。只要用户需要快速获得可追溯的 Walmart 商品数据,也应触发此技能。

3 stars
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Added 10/5/2026
documentationpythonbashapi

Works with

api

Security Analysis

A100/100

Pro scans all 6 files and shows the line behind each finding

Scanned 10/5/2026

$npx -y skills add wenmai-ai/wenmai-skills --skill wenmai-alpha-walmart-fast-product-scraper --agent claude-code

Installs into .claude/skills of the current project.

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Files
SKILL.md
---
name: wenmai-alpha-walmart-fast-product-scraper
description: "Walmart 商品快速采集接口,用于按商品链接、ID 或接口支持的查询条件获取商品详情、价格、库存、评分等数据。当用户提到 Walmart 商品查询、商品详情、价格对比、库存核验、竞品研究或 Walmart product scraper 时触发此技能。只要用户需要快速获得可追溯的 Walmart 商品数据,也应触发此技能。"
metadata:
  author: wenmai-ai
  version: "1.0.0"
---

# Wenmai Alpha Walmart Fast Product Scraper

## Purpose
Use this Skill to fetch Walmart Fast Product Scraper data through Wenmai standard API. It is useful for Walmart 商品或评论.

The Skill calls exactly one fixed standard API endpoint:

- Endpoint: `POST /wmapi/v1/alpha/walmart-fast-product-scraper`
- Auth: Header `secret-key: $WENMAI_API_KEY`
- Script: `scripts/alpha_walmart_fast_product_scraper.py`

## How To Run

请参考 https://skill.wenmai-ai.com/wenmaiskills/use_guide.html 获取 `secret-key`;额度或余额不足时,按该指南完成充值。运行脚本前,把复制的 key 导出为 `WENMAI_API_KEY`(或 `WENMAI_SECRET_KEY`)。

```bash
export WENMAI_API_KEY=sk-...
python3 scripts/alpha_walmart_fast_product_scraper.py '{"startUrls": [{"url": "https://walmart.com/search?q=tshirt"}], "maxProductsPerStartUrl": 3}'
```

The script prints the raw Wenmai API response as formatted JSON. Read `references/api.md` when you need parameter details, field meanings, allowed values, defaults, request examples, or response fields.

## Parameter Rules

Required top-level fields: `startUrls`.

Default assumptions: preserve the user's requested marketplace, country, language, URL list, keyword list, IDs, filters, pagination, and result limits. For scraper-style endpoints, avoid expanding result limits unless the user asks for a broader scrape.

## Response Rules

Present returned data in compact tables when the user asks for inspection or comparison. For long arrays, summarize the most decision-relevant rows first, then offer to continue with more rows. Keep raw numbers and source URLs traceable to response fields.

If the API response contains an `error` or a non-`OK` `code`, report the message and `requestId` if present, then suggest parameter corrections. Never invent missing data.

Attribution

wenmai-aiwenmai-ai
View sourceSee grades on GitHubMore from wenmai-ai →
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