Generate custom API documentation scrapers through guided discovery and code generation
Python code generation patterns and best practices for API documentation scrapers. Covers library choices, multi-strategy extraction, error handling, type annotations, and code organization.
Systematic approach for analyzing API documentation site structure, discovering HTML patterns, framework signatures, and extraction strategies to inform scraper code generation.
Architectural guidance for designing API documentation scrapers, including data models, parser patterns, formatter patterns, CLI design, and project structure.
Uses power tools
Uses Bash, Write, or Edit tools
Based on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
Reusable subagent definitions for common development workflows
Analyze GitHub issues and implement AI-generated solution plans (pure plugin - no Python required)
Parse and analyze Workato recipe JSON exports for logic, data flow, field mappings, error handling, and control flow
Interact with Namecheap API for domain and DNS management
Spec-Driven Development toolkit — generate thorough specs, plans, and tasks for any project
npx claudepluginhub grailautomation/claude-plugins --plugin scraper-generatorOfficial Apify agent skills for web scraping, data extraction, and automation
Claude Code skill pack for FireCrawl (30 skills)
Skills and MCP configuration for integrating Firecrawl scrape, search, and interact into apps and agents.
Zyte Web Data for Claude Code
Scrape, crawl, map, search, parse, extract, and change-track the web with fastCRW, the open-source, self-hostable Firecrawl alternative. Single Rust binary, ~6 MB RAM, Firecrawl-compatible /v1 + /v2 API, built-in web search.
Firecrawl v2.5 API for web scraping/crawling to LLM-ready markdown. Use for site extraction, dynamic content, or encountering JavaScript rendering, bot detection, content loading errors.