Wildberries 商品搜索采集接口,用于按关键词检索俄罗斯 Wildberries 平台商品并获取接口支持的价格、销量、评价等结果。当用户提到 Wildberries 搜品、俄罗斯电商选品、商品搜索、竞品研究或 Wildberries scraper 时触发此技能。只要用户需要在 Wildberries 商品池中查找或比较商品,也应触发此技能。
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npx -y skills add wenmai-ai/wenmai-skills --skill wenmai-alpha-wildberries-products-search-scraper --agent claude-codeInstalls into .claude/skills of the current project.
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---
name: wenmai-alpha-wildberries-products-search-scraper
description: "Wildberries 商品搜索采集接口,用于按关键词检索俄罗斯 Wildberries 平台商品并获取接口支持的价格、销量、评价等结果。当用户提到 Wildberries 搜品、俄罗斯电商选品、商品搜索、竞品研究或 Wildberries scraper 时触发此技能。只要用户需要在 Wildberries 商品池中查找或比较商品,也应触发此技能。"
metadata:
author: wenmai-ai
version: "1.0.0"
---
# Wenmai Alpha Wildberries Products Search Scraper
## Purpose
Use this Skill to fetch Wildberries Products Search Scraper data through Wenmai standard API. It is useful for Wildberries 商品搜索.
The Skill calls exactly one fixed standard API endpoint:
- Endpoint: `POST /wmapi/v1/alpha/wildberries-products-search-scraper`
- Auth: Header `secret-key: $WENMAI_API_KEY`
- Script: `scripts/alpha_wildberries_products_search_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_wildberries_products_search_scraper.py '{"maxItems": 3, "searchUrl": "https://www.wildberries.ru/catalog/0/search.aspx?search=iphone"}'
```
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: `searchUrl`.
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.
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