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FrankAsanteVanLaarhoven
FrankAsanteVanLaarhovenCOMMUNITY
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web-search

Search the web and return structured results with URLs, titles, snippets, and dates.

Updated Aug 27, 2026
Search Tags:#backend#search#sdk#real-time#web#structured-results#information-retrieval
One-click install
npx skills add https://github.com/FrankAsanteVanLaarhoven/navarobotic-learn --skill web-search-frankasantevanlaarhoven
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: web-search
Source: https://github.com/FrankAsanteVanLaarhoven/navarobotic-learn/tree/main/skills/web-search
Command: npx skills add https://github.com/FrankAsanteVanLaarhoven/navarobotic-learn --skill web-search-frankasantevanlaarhoven

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires z-ai-web-dev-sdk, and includes scripts (resource) components.

What problem does it solve?

This Skill enables applications to perform web searches and retrieve current information with structured results, enabling dynamic content and research workflows.

Core Features & Use Cases

  • Real-time web search: query the internet and receive structured results including URLs, titles, snippets, and timestamps.
  • Use cases: build live content dashboards, monitor trends, or gather sources for research and validation.

Quick Start

Run a simple search query using the SDK to fetch the top results for a topic of your choice.

Frequently Asked Questions about web-search

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I perform a real-time web search and get structured results in my backend application?▼

Real-time web search returns structured results containing URLs, titles, snippets, host_name, and dates by querying the internet through a backend SDK. It enables dynamic content retrieval for research workflows and content discovery across domains using proper error handling.

What information fields are included in structured web search results for research workflows?▼

Structured web search results include URLs, titles, snippets, host_name, and dates for each retrieved item. These fields enable research validation, content discovery, and dashboard population by providing structured information retrieval across domains.

Can I use the z-ai-web-dev-sdk to build live content dashboards with web search data?▼

Yes, using the z-ai-web-dev-sdk enables backend web search integration for live content dashboards. The SDK queries the internet in real-time, returning structured results with URLs, titles, snippets, and timestamps to populate dynamic dashboard content.

What's the best way to handle errors when retrieving real-time web search results programmatically?▼

Proper error handling and validation are required when retrieving real-time web search results programmatically. The backend SDK implementation needs validation logic to manage query failures and ensure structured results with URLs, titles, and snippets are processed correctly.

Does web search SDK support information retrieval across different domains and content types?▼

Web search SDK supports information retrieval across domains by querying the internet and returning structured results. It fetches URLs, titles, snippets, host_name, and dates, enabling content discovery and research workflows regardless of the specific domain queried.

Why use structured web search results instead of raw HTML for monitoring trends and gathering sources?▼

Structured web search results provide parsed URLs, titles, snippets, host_name, and dates, eliminating the need to scrape raw HTML. This format directly supports trend monitoring, source gathering, and research validation workflows with clean, actionable data.

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