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Apify SDK: 웹 스크래핑 및 Actor 자동화

Apify SDK는 Apify 플랫폼에서 Actor, 크롤러, 데이터 추출 워크플로우를 구축하기 위한 공식 JavaScript SDK입니다. 에이전트가 스크래핑 작업을 실행하고, 출력을 저장하며, 입력을 관리하고, 필요 시 크롤러 로직과 브라우저 자동화를 결합할 수 있는 구조화된 방법을 제공합니다.

Apify SDK: 웹 스크래핑 및 Actor 자동화란 무엇인가요?

이 스킬은 Apify SDK를 통해 AI 에이전트가 웹 스크래핑, 크롤링, 데이터 추출 작업을 체계적으로 수행할 수 있도록 지원합니다. Apify SDK는 JavaScript 기반으로, Actor(서버리스 함수)를 생성하고 크롤러를 구성하며 브라우저 자동화(Puppeteer/Playwright)를 함께 사용할 수 있는 공식 라이브러리입니다. 주요 플랫폼으로는 Apify 플랫폼과 로컬 Node.js 환경이 있으며, SDK는 작업 입력 정의, 데이터 저장소 활용, HTTP 요청 및 페이지 상호작용을 위한 다양한 유틸리티를 제공합니다. 이 스킬을 사용하면 에이전트가 Apify의 인프라를 활용하여 안정적인 스크래핑 파이프라인을 구축하고, 수집된 데이터를 구조화된 형식으로 저장 및 내보낼 수 있습니다. 설치 및 기본 사용법은 npm을 통해 간단히 시작할 수 있으며, 공식 문서와 커뮤니티 예제를 통해 고급 기능을 학습할 수 있습니다.

지원 대상~Claude Code~Codex CLI~Cursor
npx skills add https://github.com/agentskillexchange/skills/tree/main/skills/apify-sdk-web-scraping-actor-automation
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문서

Apify SDK: 웹 스크래핑 및 Actor 자동화은(는) 무엇을 하나요?

Apify SDK는 Apify 플랫폼에서 Actor, 크롤러, 데이터 추출 워크플로우를 구축하기 위한 공식 JavaScript SDK입니다. 에이전트가 스크래핑 작업을 실행하고, 출력을 저장하며, 입력을 관리하고, 필요 시 크롤러 로직과 브라우저 자동화를 결합할 수 있는 구조화된 방법을 제공합니다.

설치

환경에 맞는 업스트림 설치 또는 설정 경로를 사용하세요:

  • npm install apify

업스트림 요구 사항 및 주의 사항:

  • Apify SDK는 Node.js 16 이상이 필요합니다. 다음 명령어로 모든 Node.js 프로젝트에 Apify SDK를 추가하세요:

기본 사용법 또는 시작하기 참고 사항:

문서

출처

Individual skills in this repo

This repo contains 20 individual skills — each has its own dedicated page.

Academic Paper Citation Network Mapper

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ACF Extended for Advanced Custom Fields Workflows

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act Local GitHub Actions Runner

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Add Claude design-system and accessibility workflows with UX/UI

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Add executable smoke tests for shell scripts and CLIs before ref

Use Bats-core when an agent needs to turn fragile shell scripts or command-line workflows into something it can verify repeatedly after edits. The agent writes focused Bash tests for success paths, failure paths, and output contracts, then runs them locally or in CI before a refactor, release, or incident fix goes out.

Add graph-backed memory and context retrieval to agent workflows

Use Cognee to ingest project knowledge into graph and vector memory so agents can retrieve durable context across sessions and workflows.

Add IDE-style semantic code navigation and symbol-safe refactors

Give a coding agent symbol-aware lookup, cross-file rename, and structural edit tools before it starts making brittle text-only changes.

Add managed long-term memory to LangGraph agents with LangMem

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Add multimodal lifelong memory to MCP and Python agents with Sim

Use SimpleMem to store, compress, index, and retrieve text or multimodal memories for agents through MCP or Python integrations.

Add persistent project memory and hook-driven synthesis with Cla

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Add Postgres-native vector retrieval to agent and RAG workflows

Store embeddings beside application data in Postgres, create vector indexes, and query nearest neighbors for semantic search, RAG, recommendations, or agent memory retrieval.

Address GitHub PR review comments from the current branch with g

Find the open PR for the current branch, gather unresolved review comments, and drive a focused comment-resolution workflow with gh-authenticated context.

Add runtime guardrails to TypeScript agents with VoltAgent

Use VoltAgent to intercept, validate, and enforce input/output policies in TypeScript agent workflows.

Add temporal context memory to agent workflows with Zep

Use Zep as an external context layer for agents that need to store events, assemble temporal graph context, and retrieve relevant memory before model calls.

Adobe Firefly API Batch Image Generator

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