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web-reader

Extract web page titles, HTML, and metadata via the z-ai-web-dev-sdk page_reader function.

Updated Aug 23, 2026
Search Tags:#backend#HTML#SDK#metadata#web#web-scraping#content-extraction
One-click install
npx skills add https://github.com/designershubh1208-pixel/on-block --skill web-reader-designershubh1208-pixel
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: web-reader
Source: https://github.com/designershubh1208-pixel/on-block/tree/main/skills/web-reader
Command: npx skills add https://github.com/designershubh1208-pixel/on-block --skill web-reader-designershubh1208-pixel

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

Web developers need reliable backend tooling to fetch, parse, and structure content from web pages for apps, dashboards, or research workflows. This skill provides a backend-ready approach to extract titles, HTML content, and metadata using a dedicated SDK, reducing manual scraping and ensuring consistent data formats.

Core Features & Use Cases

  • Backend web-page content extraction using the z-ai-web-dev-sdk.
  • Retrieve title, HTML content, and metadata (e.g., published time) for integration with applications.
  • Use cases include content aggregation, SEO analytics, and data pipelines that ingest page data.

Quick Start

Install and configure the z-ai-web-dev-sdk in your server environment, then call the page_reader function with a URL to obtain a structured result containing title, url, html, publishedTime, and usage.

Frequently Asked Questions about web-reader

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

FAQPage Schema
How do I extract web page content and metadata in a backend environment?▼

Backend web page content extraction is handled by invoking the page_reader function with a target URL, returning structured title, HTML, publishedTime, and usage data. It requires installing and configuring the z-ai-web-dev-sdk within your server environment to fetch and parse pages.

What data fields can I retrieve when scraping articles for data pipelines?▼

When scraping articles for data pipelines, the page_reader function returns a structured result containing the page title, original URL, full HTML content, publishedTime, and usage data. These consistent fields ensure reliable integration into content aggregation and SEO analytics workflows.

Do I need the z-ai-web-dev-sdk installed to perform backend HTML content extraction?▼

Yes, the z-ai-web-dev-sdk is a required dependency to perform backend HTML content extraction. You must install and configure this SDK in your server environment before calling the page_reader function to retrieve article titles and metadata.

Can I use this approach to fetch published time and titles for SEO analytics?▼

Yes, you can use this backend extraction approach to fetch published time and titles for SEO analytics. The page_reader function specifically retrieves article titles and metadata like publishedTime, supplying structured data ideal for SEO analytics and content aggregation applications.

What is the best way to structure scraped HTML content for app integration?▼

The best way to structure scraped HTML content for app integration is using a dedicated SDK that returns standardized fields. The page_reader function outputs consistent title, URL, HTML, and publishedTime formats, reducing manual parsing and ensuring reliable data ingestion for dashboards.

What are the limitations of using an SDK for web page content extraction?▼

Limitations of using an SDK for web page content extraction include dependency on the z-ai-web-dev-sdk within a backend environment. It processes HTML content and retrieves metadata, but requires server-side execution and may not handle highly dynamic JavaScript-rendered pages without additional configuration.

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