bach-walmart_scraper4
Provides tools to scrape product data from Walmart, including retrieving product information by URL, discovering top products by category keyword, and scraping category product listings.
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@bach-walmart_scraper4 Find top products in electronics category."
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Walmart Scraper4 MCP Server
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Related MCP server: @retailerapi/mcp
简介
这是一个 MCP 服务器,用于访问 Walmart Scraper4 API。
PyPI 包名:
bach-walmart_scraper4版本: 2.0.0
传输协议: stdio
安装
从 PyPI 安装:
pip install bach-walmart_scraper4从源码安装:
pip install -e .运行
方式 1: 使用 uvx(推荐,无需安装)
# 运行(uvx 会自动安装并运行)
uvx --from bach-walmart_scraper4 bach_walmart_scraper4
# 或指定版本
uvx --from bach-walmart_scraper4@latest bach_walmart_scraper4方式 2: 直接运行(开发模式)
python server.py方式 3: 安装后作为命令运行
# 安装
pip install bach-walmart_scraper4
# 运行(命令名使用下划线)
bach_walmart_scraper4配置
API 认证
此 API 需要认证。请设置环境变量:
export API_KEY="your_api_key_here"环境变量
变量名 | 说明 | 必需 |
| API 密钥 | 是 |
在 Claude Desktop 中使用
编辑 Claude Desktop 配置文件 claude_desktop_config.json:
{
"mcpServers": {
"walmart_scraper4": {
"command": "uvx",
"args": ["--from", "bach-walmart_scraper4", "bach_walmart_scraper4"],
"env": {
"API_KEY": "your_api_key_here"
}
}
}
}注意: 请将 E:\path\to\walmart_scraper4\server.py 替换为实际的服务器文件路径。
可用工具
此服务器提供以下工具:
get_product_data_from_url
This API endpoint is used to collect product information from a URL
端点: POST /api/ecommerce/walmart-scraper/products
monitor_status
Some scraping data may take longer than average. If that's the case, you'll get a task_id. Use it to retrieve your data when it's complete.
端点: GET /api/monitor-status
参数:
task_id(string) 必需: Example value: s_m195ovji14wesgd4u1
discover_top_products_in_a_category_by_keyword
This endpoint if for discovering top products from a given category keyword.
端点: POST /api/ecommerce/walmart-scraper/products-by-keyword
discover_top_products_in_a_category
This API endpoint scrapes top products in a given category. It takes URL as parameter.
端点: POST /api/ecommerce/walmart-scraper/category-products
技术栈
传输协议: stdio
HTTP 客户端: httpx
开发
此服务器由 API-to-MCP 工具自动生成。
版本: 2.0.0
Available Tools
4 toolsdiscover_top_products_in_a_categoryB
This API endpoint scrapes top products in a given category. It takes URL as parameter.
Inputs: no named parameters.
discover_top_products_in_a_category_by_keywordC
This endpoint if for discovering top products from a given category keyword.
Inputs: no named parameters.
get_product_data_from_urlC
This API endpoint is used to collect product information from a URL
Inputs: no named parameters.
monitor_statusA
Some scraping data may take longer than average. If that's the case, you'll get a task_id. Use it to retrieve your data when it's complete.
Inputs: task_id (required).
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
Loading tool schema changelog…
TDQS
Scored across 4 tools
The two 'discover_top_products' tools have overlapping purposes and could be confused, with the only clear distinction being the input type (URL vs keyword) described in the text. Other tools are distinct in function.
All names use snake_case, but there is no consistent pattern: 'get_product_data_from_url' and 'discover_top_products_in_a_category_by_keyword' are long and descriptive, while 'monitor_status' is short. Verbs vary and one pair of tools differs only by a trailing qualifier.
Four tools is a reasonable scope for a scraper server. However, having two very similar discovery tools adds slight redundancy and makes the set feel less concise than it could be.
The set covers the core scraping workflow: fetching a single product, discovering top products by two methods, and checking async task status. No obvious critical gaps are present for the stated purpose.
Maintenance
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