apify-ecommerce은(는) 무엇을 하나요?
Amazon, Walmart, eBay, IKEA 등 50개 이상의 마켓플레이스에서 가격 인텔리전스, 고객 리뷰, 셀러 발견을 위한 전자상거래 데이터를 스크래핑합니다. 사용자가 가격 모니터링, 경쟁사 추적, 리뷰 분석, 제품 조사, 판매자 검색을 요청할 때 사용하세요.
Amazon, Walmart, eBay, IKEA 등 50개 이상의 마켓플레이스에서 가격 인텔리전스, 고객 리뷰, 셀러 발견을 위한 전자상거래 데이터를 스크래핑합니다. 사용자가 가격 모니터링, 경쟁사 추적, 리뷰 분석, 제품 조사, 판매자 검색을 요청할 때 사용하세요.
이 스킬은 Amazon, Walmart, eBay, IKEA를 포함한 50개 이상의 주요 온라인 마켓플레이스에서 전자상거래 데이터를 자동으로 추출하도록 설계된 AI 에이전트 도구입니다. 개발자와 비즈니스 사용자가 경쟁사 가격을 모니터링하고, 고객 리뷰를 분석하며, 신규 판매자를 발견하고, 제품 카탈로그를 효율적으로 조사할 수 있도록 지원합니다. Apify 플랫폼을 기반으로 구축되어 사전 구성된 액터(Actor)를 활용하여 안정적이고 확장 가능한 스크래핑을 제공하며, 사용자는 복잡한 파서를 직접 작성할 필요 없이 자연어 명령으로 데이터를 요청할 수 있습니다. 주요 사용 사례는 가격 인텔리전스(가격 변동 추적), 리뷰 감성 분석, 제품 속성 추출, 특정 카테고리의 판매자 식별 등이며, 출력 데이터는 JSON 또는 CSV 형식으로 후속 분석에 바로 활용할 수 있습니다.
npx skills add https://github.com/apify/agent-skills/tree/main/skills/apify-ecommerceInstalled? Explore more 연구 & 데이터 분석 skills: affaan-m/uspto-database, affaan-m/scholar-evaluation, affaan-m/literature-review · View all 6 →
Amazon, Walmart, eBay, IKEA 등 50개 이상의 마켓플레이스에서 가격 인텔리전스, 고객 리뷰, 셀러 발견을 위한 전자상거래 데이터를 스크래핑합니다. 사용자가 가격 모니터링, 경쟁사 추적, 리뷰 분석, 제품 조사, 판매자 검색을 요청할 때 사용하세요.
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.
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.
Universal AI-powered web scraper for any platform. Scrape data from Instagram, Facebook, TikTok, YouTube, LinkedIn, X/Twitter, Google Maps, Google Search, Google Trends, Reddit, Airbnb, Yelp, and 15+ more platforms. Use for lead generation, brand monitoring, competitor analysis, influencer discovery, trend research, content analytics, audience analysis, review analysis, SEO intelligence, recruitment, or any data extraction task.
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.