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Orchestrateur de Web Scraping Apify

Orchestre les acteurs Apify pour le web scraping à grande échelle via le SDK client Apify. Gère les exécutions d'acteurs, les exportations de jeux de données et la configuration des proxys via l'API Apify v2.

Qu'est-ce que Orchestrateur de Web Scraping Apify ?

Ce skill permet aux agents IA (comme Claude Code, Cursor, ou Codex) d'orchestrer des acteurs Apify pour effectuer du web scraping à grande échelle. Il utilise le SDK client Apify (apify-client) pour interagir avec l'API Apify v2, ce qui permet de gérer les exécutions d'acteurs, d'exporter des jeux de données, et de configurer des proxys. C'est un outil essentiel pour les développeurs qui souhaitent automatiser des tâches de collecte de données structurées depuis le web, que ce soit pour de la veille concurrentielle, de la recherche académique, ou de l'analyse de marché. Le skill prend en charge l'installation via npm et nécessite Node.js 16 ou supérieur. Il tire parti de la plateforme Apify pour offrir des fonctionnalités avancées comme la gestion des files d'attente de requêtes, la rotation automatique des proxys, et le téléchargement parallèle des données. La documentation officielle intégrée permet une prise en main rapide et un déploiement efficace.

Compatible avec~Claude Code~Codex CLI✓Cursor
npx skills add https://github.com/agentskillexchange/skills/tree/main/skills/apify-web-scraper-orchestrator-3
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Documentation

Que fait Orchestrateur de Web Scraping Apify ?

Orchestre les acteurs Apify pour le web scraping à grande échelle via le SDK client Apify. Gère les exécutions d'acteurs, les exportations de jeux de données et la configuration des proxys via l'API Apify v2.

Installation

Utilisez le chemin d'installation en amont ou la configuration qui correspond à votre environnement :

  • npm install apify

Prérequis et mises en garde issus de la documentation en amont :

  • Le SDK Apify nécessite Node.js 16 ou supérieur. Ajoutez le SDK Apify à tout projet Node.js en exécutant :

Notes d'utilisation de base ou de démarrage rapide :

Source

Individual skills in this repo

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

Academic Paper Citation Network Mapper

Builds citation networks from Semantic Scholar API and CrossRef DOI metadata. Visualizes paper influence graphs using NetworkX, identifies seminal works, and tracks research lineage across fields.

ACF Custom Fields REST Exposer

Exposes Advanced Custom Fields data through the WordPress REST API using register_rest_field and acf_format_value. Handles repeater fields, flexible content layouts, and gallery fields with proper serialization.

ACF Extended for Advanced Custom Fields Workflows

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ACF to Gutenberg Block Migrator

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Activepieces Open Source Workflow Automation

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ActivityWatch Cross-Platform Automated Time Tracker and Producti

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act Local GitHub Actions Runner

act is an open-source CLI tool that runs GitHub Actions workflows locally using Docker, enabling fast feedback on workflow changes without pushing to GitHub. It is a standard tool for local Actions development and testing.

Add a browser review checkpoint before risky agent actions with

Use AgentClick when an agent should pause before risky commands, plans, drafts, or code changes so a human can inspect, edit, approve, or reject them in a purpose-built browser UI.

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

Use UX/UI Agent Skills when Claude should generate tokens, component specs, accessibility audits, and framework-specific UI code from a repeatable design workflow.

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

Give LangGraph agents memory management and search tools so they can store, retrieve, and update durable facts across sessions.

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

Keep Claude Code sessions grounded in prior decisions, project context, and daily handoff notes instead of starting from zero every time.

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

Calls Adobe Firefly

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