| 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:
- Web Data Extraction: Handling tricky scenarios like lazy-loaded images, Next.js Image components, and paginated content.
- Search Intent Classification: Using LLMs to classify keywords into actionable content categories.
Resources Included
resources/scraping_patterns.md: A guide with code snippets on how to handle common web scraping challenges using Playwright/Puppeteer.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)
- Input: A list of rising keywords from Google Trends.
- Step 1: Use the "Keyword Intent Classifier" prompt to categorize them.
- Step 2: For "Informational" intents, create guide pages.
- Step 3: For "Transactional" intents, create tool pages.
- Output: A prioritized list of pages to create.
