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。
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npx -y skills add wenmai-ai/wenmai-skills --skill wenmai-alpha-walmart-reviews-scraper --agent claude-codeInstalls into .claude/skills of the current project.
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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.
Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.
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