What problem does it solve? Fetching large scraping results through MCP tool calls floods the model context with tens of thousands of unfiltered tokens. This Skill replaces those calls with direct TypeScript access to Apify actors, filtering data in code so only relevant results reach the model. ## Core Features & Use Cases - Social Media Scraping: Extract profiles, posts, hashtags, and comments from Instagram, LinkedIn, TikTok, YouTube, and Facebook using typed wrapper functions. - Lead Generation: Search Google Maps for businesses with contact extraction (emails, phones, social links) and review data for sales prospecting. - E-commerce & Web Scraping: Pull Amazon product details and reviews, or crawl any website with a custom page function. - Use Case: A marketer searches Google Maps for "restaurants in Austin" with contact scraping enabled, filters in code for 4.5+ rated places with emails, and receives only ~10 qualified leads instead of 500 raw records — a 99% token reduction. ## Quick Start Ask the assistant to scrape an Instagram profile or search Google Maps for local business leads, making sure APIFY_TOKEN is set in your environment first.