> For the complete documentation index, see [llms.txt](https://developers.oxylabs.io/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://developers.oxylabs.io/products/cn/web-scraper-api/solutions-for-ai-workflows.md).

# AI 工作流

了解由 Oxylabs 网页爬虫API驱动的 AI 导向工作流。获取适用于大型语言模型（LLM）工作流的结构化、可供 AI 使用的数据。

[**网页爬虫API**](https://oxylabs.io/products/scraper-api/web) 为各种 AI 工作流提供一体化数据采集流水线：从处理外部数据采集、访问成功率和解析，到在单一平台内交付适合 AI 的输出。这消除了在使用 LLM 时构建和维护独立的爬取、代理和数据处理系统的需要。

依托快速适应的基础设施，该平台可动态调整以适配目标网站，确保在 AI 训练、检索增强生成（RAG）及其他 AI 用例中实现大规模可靠的数据提取。

以下集成和指南展示了如何将网页爬虫API与流行的 AI 框架和工具连接起来：

<table data-view="cards"><thead><tr><th></th><th data-hidden data-card-target data-type="content-ref"></th></tr></thead><tbody><tr><td>Agent Skills</td><td><a href="/products/cn/web-scraper-api/solutions-for-ai-workflows/agent-skills.md">Agent 技能</a></td></tr><tr><td>模型上下文协议 (MCP)</td><td><a href="/products/cn/web-scraper-api/solutions-for-ai-workflows/model-context-protocol-mcp.md">模型上下文协议（MCP）</a></td></tr><tr><td>LangChain</td><td><a href="/products/cn/web-scraper-api/solutions-for-ai-workflows/langchain.md">LangChain</a></td></tr><tr><td>LlamaIndex</td><td><a href="/products/cn/web-scraper-api/solutions-for-ai-workflows/llamaindex.md">LlamaIndex</a></td></tr></tbody></table>


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# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter:

```
GET https://developers.oxylabs.io/products/cn/web-scraper-api/solutions-for-ai-workflows.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
