apify-ecommerce 是做什麼的？
跨 Amazon、Walmart、eBay、IKEA 及超過 50 個市集商場，抓取電子商務數據，用於價格情報、客戶評論與賣家發現。當使用者要求監控價格、追蹤競爭對手、分析評論、研究產品或尋找賣家時使用。
跨 Amazon、Walmart、eBay、IKEA 及超過 50 個市集商場，抓取電子商務數據，用於價格情報、客戶評論與賣家發現。當使用者要求監控價格、追蹤競爭對手、分析評論、研究產品或尋找賣家時使用。
apify/apify-ecommerce 是一款專業的 AI 代理人技能，專為在 Amazon、Walmart、eBay、IKEA 等超過 50 個主流電子商務平台及市集上，進行價格情報、客戶評論分析、賣家發現與產品研究的數據抓取而設計。其核心價值在於為開發者與企業提供結構化且即時的市場數據，用於監控價格波動、追蹤競爭對手動態、分析客戶回饋，以及探索新產品與賣家。此技能支援 Apify 生態系統，可透過 API 或指令列介面無縫整合至 Claude Code、Cursor、Codex 等 AI 代理工具中。它透過預先配置的 Act 或 Crawler 來運作，使用者只需提供目標 URL 或搜尋關鍵字，即可自動化擷取所需的頁面資訊，並以 JSON 格式回傳，大幅降低手動爬蟲的開發與維護成本。
npx skills add https://github.com/apify/agent-skills/tree/main/skills/apify-ecommerceInstalled? Explore more 研究與資料分析 skills: affaan-m/uspto-database, affaan-m/scholar-evaluation, affaan-m/literature-review · View all 6 →
跨 Amazon、Walmart、eBay、IKEA 及超過 50 個市集商場，抓取電子商務數據，用於價格情報、客戶評論與賣家發現。當使用者要求監控價格、追蹤競爭對手、分析評論、研究產品或尋找賣家時使用。
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.