> 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/pt-br/web-scraper-api/solutions-for-ai-workflows.md).

# Fluxos de trabalho de IA

Descubra fluxos de trabalho orientados por IA potencializados pela Oxylabs Web Scraper API. Obtenha dados estruturados, prontos para IA e otimizados para fluxos de trabalho de modelos de linguagem grande (LLM).

[**Oxylabs Web Scraper API**](https://oxylabs.io/products/scraper-api/web) fornece um pipeline de coleta de dados completo para vários fluxos de trabalho de IA: desde lidar com a coleta de dados externos, taxas de sucesso de acesso e parsing, até entregar saídas amigáveis para IA em uma única plataforma. Isso elimina a necessidade de criar e manter sistemas separados de scraping, proxy e processamento de dados ao trabalhar com LLMs.

Com o apoio de uma infraestrutura de rápida adaptação, a plataforma se ajusta dinamicamente aos sites-alvo, garantindo extração de dados confiável em escala para treinamento de IA, Retrieval-Augmented Generation (RAG) e outros casos de uso de IA.

As integrações e guias a seguir mostram como conectar o Web Scraper API com frameworks e ferramentas populares de IA:

<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/pt-br/web-scraper-api/solutions-for-ai-workflows/agent-skills.md">Habilidades do Agente</a></td></tr><tr><td>Protocolo de Contexto de Modelo (MCP)</td><td><a href="/products/pt-br/web-scraper-api/solutions-for-ai-workflows/model-context-protocol-mcp.md">Model Context Protocol (MCP)</a></td></tr><tr><td>LangChain</td><td><a href="/products/pt-br/web-scraper-api/solutions-for-ai-workflows/langchain.md">LangChain</a></td></tr><tr><td>LlamaIndex</td><td><a href="/products/pt-br/web-scraper-api/solutions-for-ai-workflows/llamaindex.md">LlamaIndex</a></td></tr></tbody></table>


---

# 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/pt-br/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.
