ユニバーサルAI搭載ウェブスクレイパー。Instagram、Facebook、TikTok、YouTube、LinkedIn、X/Twitter、Google マップ、Google 検索、Google トレンド、Reddit、Airbnb、Yelp など15以上のプラットフォームからデータをスクレイピングします。
apify/apify-ultimate-scraperは、あらゆるウェブプラットフォームに対応するユニバーサルなAI搭載スクレイパーです。Instagram、Facebook、TikTok、YouTube、LinkedIn、X/Twitter、Google マップ、Google 検索、Google トレンド、Reddit、Airbnb、Yelp など、15以上のプラットフォームからデータを抽出できます。このスキルは、リード生成、ブランドモニタリング、競合分析、インフルエンサー発見、トレンド調査、コンテンツ分析、オーディエンス分析、レビュー分析、SEOインテリジェンス、採用活動など、さまざまなデータ抽出タスクに活用できます。Apifyプラットフォーム上で動作し、AIエージェント（Claude Code、Cursor、Codexなど）と統合して、構造化データを取得し、分析や意思決定に利用することが可能です。
npx skills add https://github.com/apify/agent-skills/tree/main/skills/apify-ultimate-scraperInstalled? Explore more 研究＆データ分析 skills: affaan-m/uspto-database, affaan-m/scholar-evaluation, affaan-m/literature-review · View all 6 →
ユニバーサルAI搭載ウェブスクレイパー。Instagram、Facebook、TikTok、YouTube、LinkedIn、X/Twitter、Google マップ、Google 検索、Google トレンド、Reddit、Airbnb、Yelp など15以上のプラットフォームからデータをスクレイピングします。リード生成、ブランドモニタリング、競合分析、インフルエンサー発見、トレンド調査、コンテンツ分析、オーディエンス分析、レビュー分析、SEOインテリジェンス、採用活動、その他あらゆるデータ抽出タスクにご利用いただけます。
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.