apify-ultimate-scraper 是做什么的？
通用AI驱动的网络爬虫，适用于任何平台。从Instagram、Facebook、TikTok、YouTube、LinkedIn、X/Twitter、Google地图、Google搜索、Google趋势、Reddit、Airbnb、Yelp等15+个平台抓取数据。用于潜在客户生成、品牌监控、竞争对手分析、网红发现、趋势研究、内容分析、受众分析、评论分析、SEO情报、招聘或任何数据提取任务。
通用AI驱动的网络爬虫，适用于任何平台。从Instagram、Facebook、TikTok、YouTube、LinkedIn、X/Twitter、Google地图、Google搜索、Google趋势、Reddit、Airbnb、Yelp等15+个平台抓取数据。
该技能是一个基于Apify平台的通用AI驱动网络爬虫，能够从Instagram、Facebook、TikTok、YouTube、LinkedIn、X/Twitter、Google地图、Google搜索、Google趋势、Reddit、Airbnb、Yelp等15+个主流平台自动提取结构化数据。它主要通过智能识别页面元素和动态内容加载机制，支持多种数据提取任务，如潜在客户生成、品牌监控、竞争对手分析、网红发现、趋势研究、内容分析、受众分析、评论分析、SEO情报和招聘等。该技能适用于Claude Code、Cursor、Codex等AI代理工具，用户只需提供目标URL或搜索查询，即可获得格式化的JSON数据输出。其核心优势在于跨平台兼容性和低代码操作，大大简化了传统网络爬虫的开发和维护工作。
npx skills add https://github.com/apify/agent-skills/tree/main/skills/apify-ultimate-scraperInstalled? 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 →
通用AI驱动的网络爬虫，适用于任何平台。从Instagram、Facebook、TikTok、YouTube、LinkedIn、X/Twitter、Google地图、Google搜索、Google趋势、Reddit、Airbnb、Yelp等15+个平台抓取数据。用于潜在客户生成、品牌监控、竞争对手分析、网红发现、趋势研究、内容分析、受众分析、评论分析、SEO情报、招聘或任何数据提取任务。
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.