web-search

To retrieve real-time web search results for a backend application, use a web search automation skill to query diverse internet sources and return structured data. It provides arrays of objects containing URLs, snippets, host names, and dates.

Automating web search returns structured results as an array of objects. Each object includes specific fields: url, name, snippet, host_name, rank, date, and favicon, enabling easy display and data processing in applications.

Yes, you need the z-ai-web-dev-sdk installed to execute real-time web searches. This dependency handles the backend execution logic required to query internet sources and retrieve structured results for your application.

Yes, you can use automated web search to build a live news dashboard. It is designed for use cases requiring real-time data, content discovery, and research assistants across domains like technology, science, and news.

The best way to display web search snippets and favicons in a research assistant is to parse the structured result objects. The returned data explicitly includes the snippet text and favicon URL for straightforward UI rendering.