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name: data-scraper-intent description: A toolkit for web data extraction and search intent analysis. Includes patterns for handling lazy-loaded content and LLM prompts for classifying search keywords.

Data Scraper & Intent Analyzer

This skill provides reusable patterns and prompts for two common SEO/data tasks:

1. Web Data Extraction: Handling tricky scenarios like lazy-loaded images, Next.js Image components, and paginated content.
2. Search Intent Classification: Using LLMs to classify keywords into actionable content categories.

Resources Included

1. resources/scraping_patterns.md: A guide with code snippets on how to handle common web scraping challenges using Playwright/Puppeteer.
2. resources/intent_prompts.md: Ready-to-use LLM prompts for classifying search keywords.

Usage

1. Data Extraction Patterns

Review resources/scraping_patterns.md when you need to extract data from:

• Websites using lazy-loading for images (e.g., loading="lazy", IntersectionObserver).
• Next.js apps using <Image> component (srcset, blur placeholders).
• Sites with infinite scroll or "Load More" buttons.

2. Intent Analysis

Copy the prompts from resources/intent_prompts.md and use them with your LLM of choice (GPT-4, DeepSeek, Claude) to classify keywords from Google Trends, SEMrush, or Ahrefs.

Example Workflow (Trend to Page)

1. Input: A list of rising keywords from Google Trends.
2. Step 1: Use the "Keyword Intent Classifier" prompt to categorize them.
3. Step 2: For "Informational" intents, create guide pages.
4. Step 3: For "Transactional" intents, create tool pages.
5. Output: A prioritized list of pages to create.