apify-sdk-integration は何をしますか？
既存のJavaScript/TypeScriptまたはPythonアプリケーションに、apify-clientパッケージを使用してApifyを統合します。Apify APIを介してWebスクレイピング、自動化、データ抽出機能を既存のアプリに追加する際に使用します。
既存のJavaScript/TypeScriptまたはPythonアプリケーションに、apify-clientパッケージを使用してApifyを統合します。Apify APIを介してWebスクレイピング、自動化、データ抽出機能を既存のアプリに追加する際に使用します。
このスキルは、既存のJavaScript/TypeScriptまたはPythonアプリケーションにApifyの機能を統合するためのものです。apify-clientライブラリを使用することで、開発者はApify API経由でWebスクレイピング、ブラウザ自動化、データ抽出タスクをプログラムから直接実行できるようになります。主なユースケースとして、既存のコードベースにスクレイピング機能を追加したり、ワークフロー自動化の一部としてApifyアクターを呼び出したりすることが含まれます。このスキルは、Apifyコンソールで利用可能な数千ものアクター（プリビルドされたスクレイパー）にも対応しており、API認証、アクターの実行呼び出し、結果データの取得をシームレスに行えます。また、JavaScript/TypeScriptとPythonの両方のクライアントライブラリをサポートし、それぞれ非同期処理とエラーハンドリングを適切に実装する方法についてもガイドします。
npx skills add https://github.com/apify/agent-skills/tree/main/skills/apify-sdk-integrationInstalled? 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 →
既存のJavaScript/TypeScriptまたはPythonアプリケーションに、apify-clientパッケージを使用してApifyを統合します。Apify APIを介してWebスクレイピング、自動化、データ抽出機能を既存のアプリに追加する際に使用します。
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.
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.