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---
name: wenmai-alpha-walmart-reviews-scraper
description: "Walmart 评论采集接口,用于获取商品买家评论、评分及接口支持的评论元数据,为 VOC、痛点和竞品口碑分析提供依据。当用户提到 Walmart 评论、买家反馈、差评分析、商品口碑、用户痛点或 Walmart review scraper 时触发此技能。只要用户需要从 Walmart 评论中提炼真实消费者意见,也应触发此技能。"
metadata:
author: wenmai-ai
version: "1.0.0"
---
# Wenmai Alpha Walmart Reviews Scraper
## Purpose
Use this Skill to fetch Walmart Reviews 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-reviews-scraper`
- Auth: Header `secret-key: $WENMAI_API_KEY`
- Script: `scripts/alpha_walmart_reviews_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_reviews_scraper.py '{"startUrls": [{"url": "https://walmart.com/search?q=tshirt"}], "reviewsSortType": "relevancy", "scrapeUntilDate": "keyboard", "maxReviewsPerProduct": 3, "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: none documented by the API reference; pass at least one meaningful query, URL, ID, keyword, mode, or filter parameter from `references/api.md`.
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.