## Installation Workflows and Architecture Visual representations of Crawl4AI installation processes, deployment options, and system interactions. ### Installation Decision Flow ```mermaid flowchart TD A[Start Installation] --> B{Environment Type?} B -->|Local Development| C[Basic Python Install] B -->|Production| D[Docker Deployment] B -->|Research/Testing| E[Google Colab] B -->|CI/CD Pipeline| F[Automated Setup] C --> C1[pip install crawl4ai] C1 --> C2[crawl4ai-setup] C2 --> C3{Need Advanced Features?} C3 -->|No| C4[Basic Installation Complete] C3 -->|Text Clustering| C5[pip install crawl4ai with torch] C3 -->|Transformers| C6[pip install crawl4ai with transformer] C3 -->|All Features| C7[pip install crawl4ai with all] C5 --> C8[crawl4ai-download-models] C6 --> C8 C7 --> C8 C8 --> C9[Advanced Installation Complete] D --> D1{Deployment Method?} D1 -->|Pre-built Image| D2[docker pull unclecode/crawl4ai] D1 -->|Docker Compose| D3[Clone repo + docker compose] D1 -->|Custom Build| D4[docker buildx build] D2 --> D5[Configure .llm.env] D3 --> D5 D4 --> D5 D5 --> D6[docker run with ports] D6 --> D7[Docker Deployment Complete] E --> E1[Colab pip install] E1 --> E2[playwright install chromium] E2 --> E3[Test basic crawl] E3 --> E4[Colab Setup Complete] F --> F1[Automated pip install] F1 --> F2[Automated setup scripts] F2 --> F3[CI/CD Integration Complete] C4 --> G[Verify with crawl4ai-doctor] C9 --> G D7 --> H[Health check via API] E4 --> I[Run test crawl] F3 --> G G --> J[Installation Verified] H --> J I --> J style A fill:#e1f5fe style J fill:#c8e6c9 style C4 fill:#fff3e0 style C9 fill:#fff3e0 style D7 fill:#f3e5f5 style E4 fill:#fce4ec style F3 fill:#e8f5e8 ``` ### Basic Installation Sequence ```mermaid sequenceDiagram participant User participant PyPI participant System participant Playwright participant Crawler User->>PyPI: pip install crawl4ai PyPI-->>User: Package downloaded User->>System: crawl4ai-setup System->>Playwright: Install browser binaries Playwright-->>System: Chromium, Firefox installed System-->>User: Setup complete User->>System: crawl4ai-doctor System->>System: Check Python version System->>System: Verify Playwright installation System->>System: Test browser launch System-->>User: Diagnostics report User->>Crawler: Basic crawl test Crawler->>Playwright: Launch browser Playwright-->>Crawler: Browser ready Crawler->>Crawler: Navigate to test URL Crawler-->>User: Success confirmation ``` ### Docker Deployment Architecture ```mermaid graph TB subgraph "Host System" A[Docker Engine] --> B[Crawl4AI Container] C[.llm.env File] --> B D[Port 11235] --> B end subgraph "Container Environment" B --> E[FastAPI Server] B --> F[Playwright Browsers] B --> G[Python Runtime] E --> H[/crawl Endpoint] E --> I[/playground Interface] E --> J[/health Monitoring] E --> K[/metrics Prometheus] F --> L[Chromium Browser] F --> M[Firefox Browser] F --> N[WebKit Browser] end subgraph "External Services" O[OpenAI API] --> B P[Anthropic API] --> B Q[Local LLM Ollama] --> B end subgraph "Client Applications" R[Python SDK] --> H S[REST API Calls] --> H T[Web Browser] --> I U[Monitoring Tools] --> J V[Prometheus] --> K end style B fill:#e3f2fd style E fill:#f3e5f5 style F fill:#e8f5e8 style G fill:#fff3e0 ``` ### Advanced Features Installation Flow ```mermaid stateDiagram-v2 [*] --> BasicInstall BasicInstall --> FeatureChoice: crawl4ai installed FeatureChoice --> TorchInstall: Need text clustering FeatureChoice --> TransformerInstall: Need HuggingFace models FeatureChoice --> AllInstall: Need everything FeatureChoice --> Complete: Basic features sufficient TorchInstall --> TorchSetup: pip install crawl4ai with torch TransformerInstall --> TransformerSetup: pip install crawl4ai with transformer AllInstall --> AllSetup: pip install crawl4ai with all TorchSetup --> ModelDownload: crawl4ai-setup TransformerSetup --> ModelDownload: crawl4ai-setup AllSetup --> ModelDownload: crawl4ai-setup ModelDownload --> PreDownload: crawl4ai-download-models PreDownload --> Complete: All models cached Complete --> Verification: crawl4ai-doctor Verification --> [*]: Installation verified note right of TorchInstall : PyTorch for semantic operations note right of TransformerInstall : HuggingFace for LLM features note right of AllInstall : Complete feature set ``` ### Platform-Specific Installation Matrix ```mermaid graph LR subgraph "Installation Methods" A[Python Package] --> A1[pip install] B[Docker Image] --> B1[docker pull] C[Source Build] --> C1[git clone + build] D[Cloud Platform] --> D1[Colab/Kaggle] end subgraph "Operating Systems" E[Linux x86_64] F[Linux ARM64] G[macOS Intel] H[macOS Apple Silicon] I[Windows x86_64] end subgraph "Feature Sets" J[Basic crawling] K[Text clustering torch] L[LLM transformers] M[All features] end A1 --> E A1 --> F A1 --> G A1 --> H A1 --> I B1 --> E B1 --> F B1 --> G B1 --> H C1 --> E C1 --> F C1 --> G C1 --> H C1 --> I D1 --> E D1 --> I E --> J E --> K E --> L E --> M F --> J F --> K F --> L F --> M G --> J G --> K G --> L G --> M H --> J H --> K H --> L H --> M I --> J I --> K I --> L I --> M style A1 fill:#e3f2fd style B1 fill:#f3e5f5 style C1 fill:#e8f5e8 style D1 fill:#fff3e0 ``` ### Docker Multi-Stage Build Process ```mermaid sequenceDiagram participant Dev as Developer participant Git as GitHub Repo participant Docker as Docker Engine participant Registry as Docker Hub participant User as End User Dev->>Git: Push code changes Docker->>Git: Clone repository Docker->>Docker: Stage 1 - Base Python image Docker->>Docker: Stage 2 - Install dependencies Docker->>Docker: Stage 3 - Install Playwright Docker->>Docker: Stage 4 - Copy application code Docker->>Docker: Stage 5 - Setup FastAPI server Note over Docker: Multi-architecture build Docker->>Docker: Build for linux/amd64 Docker->>Docker: Build for linux/arm64 Docker->>Registry: Push multi-arch manifest Registry-->>Docker: Build complete User->>Registry: docker pull unclecode/crawl4ai Registry-->>User: Download appropriate architecture User->>Docker: docker run with configuration Docker->>Docker: Start container Docker->>Docker: Initialize FastAPI server Docker->>Docker: Setup Playwright browsers Docker-->>User: Service ready on port 11235 ``` ### Installation Verification Workflow ```mermaid flowchart TD A[Installation Complete] --> B[Run crawl4ai-doctor] B --> C{Python Version Check} C -->|✓ 3.10+| D{Playwright Check} C -->|✗ < 3.10| C1[Upgrade Python] C1 --> D D -->|✓ Installed| E{Browser Binaries} D -->|✗ Missing| D1[Run crawl4ai-setup] D1 --> E E -->|✓ Available| F{Test Browser Launch} E -->|✗ Missing| E1[playwright install] E1 --> F F -->|✓ Success| G[Test Basic Crawl] F -->|✗ Failed| F1[Check system dependencies] F1 --> F G --> H{Crawl Test Result} H -->|✓ Success| I[Installation Verified ✓] H -->|✗ Failed| H1[Check network/permissions] H1 --> G I --> J[Ready for Production Use] style I fill:#c8e6c9 style J fill:#e8f5e8 style C1 fill:#ffcdd2 style D1 fill:#fff3e0 style E1 fill:#fff3e0 style F1 fill:#ffcdd2 style H1 fill:#ffcdd2 ``` ### Resource Requirements by Installation Type ```mermaid graph TD subgraph "Basic Installation" A1[Memory: 512MB] A2[Disk: 2GB] A3[CPU: 1 core] A4[Network: Required for setup] end subgraph "Advanced Features torch" B1[Memory: 2GB+] B2[Disk: 5GB+] B3[CPU: 2+ cores] B4[GPU: Optional CUDA] end subgraph "All Features" C1[Memory: 4GB+] C2[Disk: 10GB+] C3[CPU: 4+ cores] C4[GPU: Recommended] end subgraph "Docker Deployment" D1[Memory: 1GB+] D2[Disk: 3GB+] D3[CPU: 2+ cores] D4[Ports: 11235] D5[Shared Memory: 1GB] end style A1 fill:#e8f5e8 style B1 fill:#fff3e0 style C1 fill:#ffecb3 style D1 fill:#e3f2fd ``` **📖 Learn more:** [Installation Guide](https://docs.crawl4ai.com/core/installation/), [Docker Deployment](https://docs.crawl4ai.com/core/docker-deployment/), [System Requirements](https://docs.crawl4ai.com/core/installation/#prerequisites)