apify-ecommerce 是做什么的？
抓取电商数据，用于定价情报、客户评论和卖家发现，涵盖 Amazon、Walmart、eBay、IKEA 等 50 多个市场。当用户要求监控价格、跟踪竞争对手、分析评论、研究产品或寻找卖家时使用。
抓取电商数据，用于定价情报、客户评论和卖家发现，涵盖 Amazon、Walmart、eBay、IKEA 等 50 多个市场。当用户要求监控价格、跟踪竞争对手、分析评论、研究产品或寻找卖家时使用。
apify/apify-ecommerce 是一个专门用于电商数据抓取的 AI 代理技能，支持 Amazon、Walmart、eBay、IKEA 等 50 多个主流电商平台。该技能能够帮助用户进行定价情报分析、竞争对手监控、客户评论分析、产品研究以及卖家发现等任务。它通过集成 Apify 的电商抓取工具，自动从目标网站提取结构化数据，包括产品价格、评论内容、卖家信息等。开发者可以通过自然语言指令触发该技能，例如“监控 Amazon 上 iPhone 的价格变化”或“分析 Walmart 上某产品的评论情感”。该技能适用于多种 AI 代理平台（如 Claude Code、Cursor 等），能够高效获取实时电商数据，为商业决策提供数据支持。
npx skills add https://github.com/apify/agent-skills/tree/main/skills/apify-ecommerceInstalled? Explore more 研究与数据分析 skills: affaan-m/uspto-database, affaan-m/scholar-evaluation, affaan-m/literature-review · View all 6 →
抓取电商数据，用于定价情报、客户评论和卖家发现，涵盖 Amazon、Walmart、eBay、IKEA 等 50 多个市场。当用户要求监控价格、跟踪竞争对手、分析评论、研究产品或寻找卖家时使用。
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.