범용 AI 기반 웹 스크래퍼로, Instagram, Facebook, TikTok, YouTube, LinkedIn, X/Twitter, Google Maps, Google Search, Google Trends, Reddit, Airbnb, Yelp 등 15개 이상의 플랫폼에서 데이터를 추출합니다. 리드 생성, 브랜드 모니터링, 경쟁사 분석, 인플루언서 발굴, 트렌드 조사, 콘텐츠 분석, 잠재 고객 분석, 리뷰 분석, SEO 인텔리전스, 채용 등 모든 데이터 추출 작업에 사용하세요.
이 스킬은 Apify의 'Ultimate Scraper' 액터를 기반으로 한 범용 AI 웹 스크래핑 도구로, Claude Code, Cursor, Codex 등 다양한 AI 에이전트 플랫폼에서 사용할 수 있습니다. Instagram, Facebook, TikTok, YouTube, LinkedIn, X/Twitter, Google Maps, Google Search, Google Trends, Reddit, Airbnb, Yelp 등 15개 이상의 주요 플랫폼에서 데이터를 추출할 수 있어, 리드 생성, 브랜드 모니터링, 경쟁사 분석, 인플루언서 발굴, 트렌드 조사, 콘텐츠 분석, 잠재 고객 분석, 리뷰 분석, SEO 인텔리전스, 채용 등 다양한 데이터 추출 작업에 활용됩니다. 이 스킬은 Apify API를 통해 동작하며, 사용자가 스크래핑 대상 URL이나 검색어를 제공하면 AI가 자동으로 해당 플랫폼에 맞는 스크래핑 전략을 수립하고 구조화된 데이터(JSON, CSV 등)를 반환합니다. 특히, 복잡한 플랫폼별 스크래핑 로직(로그인, 페이지네이션, 동적 콘텐츠 등)을 자동으로 처리해주므로, 개발자가 직접 스크래퍼를 개발할 필요 없이 몇 줄의 명령어로 원하는 데이터를 얻을 수 있습니다.
npx skills add https://github.com/apify/agent-skills/tree/main/skills/apify-ultimate-scraperInstalled? Explore more 연구 & 데이터 분석 skills: affaan-m/uspto-database, affaan-m/scholar-evaluation, affaan-m/literature-review · View all 6 →
모든 플랫폼을 위한 범용 AI 기반 웹 스크래퍼입니다. Instagram, Facebook, TikTok, YouTube, LinkedIn, X/Twitter, Google Maps, Google Search, Google Trends, Reddit, Airbnb, Yelp 등 15개 이상의 플랫폼에서 데이터를 스크래핑하세요. 리드 생성, 브랜드 모니터링, 경쟁사 분석, 인플루언서 발굴, 트렌드 조사, 콘텐츠 분석, 잠재 고객 분석, 리뷰 분석, SEO 인텔리전스, 채용 또는 모든 데이터 추출 작업에 사용할 수 있습니다.
This repo contains 13 individual skills — each has its own dedicated page.
Develop, debug, and deploy Apify Actors - serverless cloud programs for web scraping, automation, and data processing. Use when creating new Actors, modifying existing ones, or troubleshooting Actor code.
Convert existing projects into Apify Actors - serverless cloud programs. Actorize JavaScript/TypeScript (SDK with Actor.init/exit), Python (async context manager), or any language (CLI wrapper). Use when migrating code to Apify, wrapping CLI tools as Actors, or adding Actor SDK to existing projects.
Understand audience demographics, preferences, behavior patterns, and engagement quality across Facebook, Instagram, YouTube, and TikTok.
Track reviews, ratings, sentiment, and brand mentions across Google Maps, Booking.com, TripAdvisor, Facebook, Instagram, YouTube, and TikTok. Use when user asks to monitor brand reputation, analyze reviews, track mentions, or gather customer feedback.
Analyze competitor strategies, content, pricing, ads, and market positioning across Google Maps, Booking.com, Facebook, Instagram, YouTube, and TikTok.
Track engagement metrics, measure campaign ROI, and analyze content performance across Instagram, Facebook, YouTube, and TikTok.
Scrape e-commerce data for pricing intelligence, customer reviews, and seller discovery across Amazon, Walmart, eBay, IKEA, and 50+ marketplaces. Use when user asks to monitor prices, track competitors, analyze reviews, research products, or find sellers.
Generate output schemas (dataset_schema.json, output_schema.json, key_value_store_schema.json) for an Apify Actor by analyzing its source code. Use when creating or updating Actor output schemas.
Find and evaluate influencers for brand partnerships, verify authenticity, and track collaboration performance across Instagram, Facebook, YouTube, and TikTok.
Generates B2B/B2C leads by scraping Google Maps, websites, Instagram, TikTok, Facebook, LinkedIn, YouTube, and Google Search. Use when user asks to find leads, prospects, businesses, build lead lists, enrich contacts, or scrape profiles for sales outreach.
Analyze market conditions, geographic opportunities, pricing, consumer behavior, and product validation across Google Maps, Facebook, Instagram, Booking.com, and TripAdvisor.
Integrate Apify into an existing JavaScript/TypeScript or Python application using the apify-client package. Use when adding web scraping, automation, or data extraction capabilities to an existing app via the Apify API.
Discover and track emerging trends across Google Trends, Instagram, Facebook, YouTube, and TikTok to inform content strategy.
USPTO patent and trademark data workflow for official record lookup, PatentSearch queries, TSDR checks, assignment data, and reproducible IP research logs.
Structured scholarly-work evaluation for papers, proposals, literature reviews, methods sections, evidence quality, citation support, and research-writing feedback.
Systematic literature-review workflow for academic, biomedical, technical, and scientific topics, including search planning, source screening, synthesis, citation checks, and evidence logging.
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
Agent skill repository discovered by 10x-chat research.
Review backend code for quality, security, maintainability, and best practices based on established checklist rules. Use when the user requests a review, analysis, or improvement of backend files (e.g., `.py`) under the `api/` directory. Do NOT use for frontend files (e.g., `.tsx`, `.ts`, `.js`). Supports pending-change review, code snippets review, and file-focused review.