apify-ultimate-scraper 是做什麼的？
通用AI網頁爬蟲，適用於任何平台。可從Instagram、Facebook、TikTok、YouTube、LinkedIn、X/Twitter、Google Maps、Google Search、Google Trends、Reddit、Airbnb、Yelp等15個以上平台抓取資料。可用於潛在客戶開發、品牌監控、競爭者分析、網紅發現、趨勢研究、內容分析、受眾分析、評論分析、SEO情報、人才招募或任何資料擷取任務。
適用於任何平台的通用AI網頁爬蟲。可從Instagram、Facebook、TikTok、YouTube、LinkedIn、X/Twitter、Google Maps、Google Search、Google Trends、Reddit、Airbnb、Yelp等15個以上平台抓取資料。可用於潛在客戶開發、品牌監控、競爭者分析、網紅發現、趨勢研究、內容分析、受眾分析、評論分析、SEO情報、人才招募或任何資料擷取任務。
這個技能提供了一個由AI驅動的通用網頁爬蟲，能從Instagram、Facebook、TikTok、YouTube、LinkedIn、X/Twitter、Google Maps、Google Search、Google Trends、Reddit、Airbnb、Yelp等15個以上主流平台提取結構化資料。它基於Apify平台構建，支援透過API直接呼叫或使用Apify Console進行配置。開發者只需提供目標URL或搜尋查詢，AI爬蟲便會自動處理反爬蟲機制、頁面解析與資料輸出，大幅降低手動開發抓取邏輯的成本。該技能適用於潛在客戶開發、品牌監控、競爭者分析、網紅發現、趨勢研究、內容分析、受眾分析、評論分析、SEO情報與人才招募等多種場景。支援自訂輸出格式（如JSON、CSV），並可整合到其他自動化工作流程中，讓開發者快速取得跨平台的公開資料。
npx skills add https://github.com/apify/agent-skills/tree/main/skills/apify-ultimate-scraperInstalled? 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 →
通用AI網頁爬蟲，適用於任何平台。可從Instagram、Facebook、TikTok、YouTube、LinkedIn、X/Twitter、Google Maps、Google Search、Google Trends、Reddit、Airbnb、Yelp等15個以上平台抓取資料。可用於潛在客戶開發、品牌監控、競爭者分析、網紅發現、趨勢研究、內容分析、受眾分析、評論分析、SEO情報、人才招募或任何資料擷取任務。
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.