mirror of
https://github.com/unclecode/crawl4ai.git
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Enhance Docker support and improve installation process
- Added new Docker commands for platform-specific builds. - Updated README with comprehensive installation and setup instructions. - Introduced `post_install` method in setup script for automation. - Refined migration processes with enhanced error logging. - Bump version to 0.3.746 and updated dependencies.
This commit is contained in:
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59
CHANGELOG.md
59
CHANGELOG.md
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# Changelog
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## [0.3.746] November 29, 2024
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### Major Features
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1. Enhanced Docker Support (Nov 29, 2024)
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- Improved GPU support in Docker images.
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- Dockerfile refactored for better platform-specific installations.
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- Introduced new Docker commands for different platforms:
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- `basic-amd64`, `all-amd64`, `gpu-amd64` for AMD64.
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- `basic-arm64`, `all-arm64`, `gpu-arm64` for ARM64.
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### Infrastructure & Documentation
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- Enhanced README.md to improve user guidance and installation instructions.
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- Added installation instructions for Playwright setup in README.
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- Created and updated examples in `docs/examples/quickstart_async.py` to be more useful and user-friendly.
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- Updated `requirements.txt` with a new `pydantic` dependency.
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- Bumped version number in `crawl4ai/__version__.py` to 0.3.746.
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### Breaking Changes
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- Streamlined application structure:
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- Removed static pages and related code from `main.py` which might affect existing deployments relying on static content.
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### Development Updates
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- Developed `post_install` method in `crawl4ai/install.py` to streamline post-installation setup tasks.
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- Refined migration processes in `crawl4ai/migrations.py` with enhanced logging for better error visibility.
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- Updated `docker-compose.yml` to support local and hub services for different architectures, enhancing build and deploy capabilities.
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- Refactored example test cases in `docs/examples/docker_example.py` to facilitate comprehensive testing.
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### README.md
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Updated README with new docker commands and setup instructions.
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Enhanced installation instructions and guidance.
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### crawl4ai/install.py
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Added post-install script functionality.
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Introduced `post_install` method for automation of post-installation tasks.
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### crawl4ai/migrations.py
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Improved migration logging.
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Refined migration processes and added better logging.
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### docker-compose.yml
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Refactored docker-compose for better service management.
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Updated to define services for different platforms and versions.
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### requirements.txt
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Updated dependencies.
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Added `pydantic` to requirements file.
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### crawler/__version__.py
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Updated version number.
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Bumped version number to 0.3.746.
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### docs/examples/quickstart_async.py
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Enhanced example scripts.
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Uncommented example usage in async guide for user functionality.
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### main.py
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Refactored code to improve maintainability.
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Streamlined app structure by removing static pages code.
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## [0.3.743] November 27, 2024
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Enhance features and documentation
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177
README.md
177
README.md
@ -220,48 +220,173 @@ Crawl4AI is available as Docker images for easy deployment. You can either pull
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---
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### Option 1: Docker Hub (Recommended)
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<details>
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<summary>🐳 <strong>Option 1: Docker Hub (Recommended)</strong></summary>
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Choose the appropriate image based on your platform and needs:
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### For AMD64 (Regular Linux/Windows):
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```bash
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# Pull and run from Docker Hub (choose one):
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docker pull unclecode/crawl4ai:basic # Basic crawling features
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docker pull unclecode/crawl4ai:all # Full installation (ML, LLM support)
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docker pull unclecode/crawl4ai:gpu # GPU-enabled version
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# Basic version (recommended)
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docker pull unclecode/crawl4ai:basic-amd64
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docker run -p 11235:11235 unclecode/crawl4ai:basic-amd64
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# Run the container
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docker run -p 11235:11235 unclecode/crawl4ai:basic # Replace 'basic' with your chosen version
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# Full ML/LLM support
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docker pull unclecode/crawl4ai:all-amd64
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docker run -p 11235:11235 unclecode/crawl4ai:all-amd64
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# In case you want to set platform to arm64
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docker run --platform linux/arm64 -p 11235:11235 unclecode/crawl4ai:basic
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# In case to allocate more shared memory for the container
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docker run --shm-size=2gb -p 11235:11235 unclecode/crawl4ai:basic
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# With GPU support
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docker pull unclecode/crawl4ai:gpu-amd64
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docker run -p 11235:11235 unclecode/crawl4ai:gpu-amd64
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```
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---
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### For ARM64 (M1/M2 Macs, ARM servers):
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```bash
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# Basic version (recommended)
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docker pull unclecode/crawl4ai:basic-arm64
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docker run -p 11235:11235 unclecode/crawl4ai:basic-arm64
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### Option 2: Build from Repository
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# Full ML/LLM support
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docker pull unclecode/crawl4ai:all-arm64
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docker run -p 11235:11235 unclecode/crawl4ai:all-arm64
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# With GPU support
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docker pull unclecode/crawl4ai:gpu-arm64
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docker run -p 11235:11235 unclecode/crawl4ai:gpu-arm64
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```
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Need more memory? Add `--shm-size`:
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```bash
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docker run --shm-size=2gb -p 11235:11235 unclecode/crawl4ai:basic-amd64
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```
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Test the installation:
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```bash
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curl http://localhost:11235/health
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```
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### For Raspberry Pi (32-bit) (Experimental)
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```bash
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# Pull and run basic version (recommended for Raspberry Pi)
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docker pull unclecode/crawl4ai:basic-armv7
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docker run -p 11235:11235 unclecode/crawl4ai:basic-armv7
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# With increased shared memory if needed
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docker run --shm-size=2gb -p 11235:11235 unclecode/crawl4ai:basic-armv7
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```
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Note: Due to hardware constraints, only the basic version is recommended for Raspberry Pi.
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</details>
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<details>
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<summary>🐳 <strong>Option 2: Build from Repository</strong></summary>
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Build the image locally based on your platform:
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```bash
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# Clone the repository
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git clone https://github.com/unclecode/crawl4ai.git
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cd crawl4ai
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# Build the image
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docker build -t crawl4ai:local \
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--build-arg INSTALL_TYPE=basic \ # Options: basic, all
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# For AMD64 (Regular Linux/Windows)
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docker build --platform linux/amd64 \
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--tag crawl4ai:local \
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--build-arg INSTALL_TYPE=basic \
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.
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# In case you want to set platform to arm64
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docker build -t crawl4ai:local \
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--build-arg INSTALL_TYPE=basic \ # Options: basic, all
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--platform linux/arm64 \
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# For ARM64 (M1/M2 Macs, ARM servers)
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docker build --platform linux/arm64 \
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--tag crawl4ai:local \
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--build-arg INSTALL_TYPE=basic \
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.
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# Run your local build
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docker run -p 11235:11235 crawl4ai:local
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```
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Build options:
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- INSTALL_TYPE=basic (default): Basic crawling features
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- INSTALL_TYPE=all: Full ML/LLM support
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- ENABLE_GPU=true: Add GPU support
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Example with all options:
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```bash
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docker build --platform linux/amd64 \
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--tag crawl4ai:local \
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--build-arg INSTALL_TYPE=all \
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--build-arg ENABLE_GPU=true \
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.
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```
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Run your local build:
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```bash
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# Regular run
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docker run -p 11235:11235 crawl4ai:local
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# With increased shared memory
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docker run --shm-size=2gb -p 11235:11235 crawl4ai:local
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```
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Test the installation:
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```bash
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curl http://localhost:11235/health
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```
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</details>
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<details>
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<summary>🐳 <strong>Option 3: Using Docker Compose</strong></summary>
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Docker Compose provides a more structured way to run Crawl4AI, especially when dealing with environment variables and multiple configurations.
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```bash
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# Clone the repository
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git clone https://github.com/unclecode/crawl4ai.git
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cd crawl4ai
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```
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### For AMD64 (Regular Linux/Windows):
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```bash
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# Build and run locally
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docker-compose --profile local-amd64 up
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# Run from Docker Hub
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VERSION=basic docker-compose --profile hub-amd64 up # Basic version
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VERSION=all docker-compose --profile hub-amd64 up # Full ML/LLM support
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VERSION=gpu docker-compose --profile hub-amd64 up # GPU support
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```
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### For ARM64 (M1/M2 Macs, ARM servers):
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```bash
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# Build and run locally
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docker-compose --profile local-arm64 up
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# Run from Docker Hub
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VERSION=basic docker-compose --profile hub-arm64 up # Basic version
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VERSION=all docker-compose --profile hub-arm64 up # Full ML/LLM support
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VERSION=gpu docker-compose --profile hub-arm64 up # GPU support
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```
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Environment variables (optional):
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```bash
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# Create a .env file
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CRAWL4AI_API_TOKEN=your_token
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OPENAI_API_KEY=your_openai_key
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CLAUDE_API_KEY=your_claude_key
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```
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The compose file includes:
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- Memory management (4GB limit, 1GB reserved)
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- Shared memory volume for browser support
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- Health checks
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- Auto-restart policy
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- All necessary port mappings
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Test the installation:
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```bash
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curl http://localhost:11235/health
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```
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</details>
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---
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### Quick Test
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)
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task_id = response.json()["task_id"]
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# Get results
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# Continue polling until the task is complete (status="completed")
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result = requests.get(f"http://localhost:11235/task/{task_id}")
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```
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For advanced configuration, environment variables, and usage examples, see our [Docker Deployment Guide](https://crawl4ai.com/mkdocs/basic/docker-deployment/).
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For more examples, see our [Docker Examples](https://github.com/unclecode/crawl4ai/blob/main/docs/examples/docker_example.py). For advanced configuration, environment variables, and usage examples, see our [Docker Deployment Guide](https://crawl4ai.com/mkdocs/basic/docker-deployment/).
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</details>
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services:
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crawl4ai:
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# Local build services for different platforms
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crawl4ai-amd64:
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build:
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context: .
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dockerfile: Dockerfile
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PYTHON_VERSION: "3.10"
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INSTALL_TYPE: ${INSTALL_TYPE:-basic}
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ENABLE_GPU: false
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profiles: ["local"]
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ports:
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- "11235:11235"
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- "8000:8000"
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- "9222:9222"
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- "8080:8080"
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environment:
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- CRAWL4AI_API_TOKEN=${CRAWL4AI_API_TOKEN:-}
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- OPENAI_API_KEY=${OPENAI_API_KEY:-}
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- CLAUDE_API_KEY=${CLAUDE_API_KEY:-}
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volumes:
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- /dev/shm:/dev/shm
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deploy:
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resources:
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limits:
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memory: 4G
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reservations:
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memory: 1G
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restart: unless-stopped
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healthcheck:
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test: ["CMD", "curl", "-f", "http://localhost:11235/health"]
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interval: 30s
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timeout: 10s
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retries: 3
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start_period: 40s
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platforms:
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- linux/amd64
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profiles: ["local-amd64"]
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extends: &base-config
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file: docker-compose.yml
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service: base-config
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crawl4ai-hub:
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image: unclecode/crawl4ai:basic
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profiles: ["hub"]
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crawl4ai-arm64:
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build:
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context: .
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dockerfile: Dockerfile
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args:
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PYTHON_VERSION: "3.10"
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INSTALL_TYPE: ${INSTALL_TYPE:-basic}
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ENABLE_GPU: false
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platforms:
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- linux/arm64
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profiles: ["local-arm64"]
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extends: *base-config
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# Hub services for different platforms and versions
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crawl4ai-hub-amd64:
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image: unclecode/crawl4ai:${VERSION:-basic}-amd64
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profiles: ["hub-amd64"]
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extends: *base-config
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crawl4ai-hub-arm64:
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image: unclecode/crawl4ai:${VERSION:-basic}-arm64
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profiles: ["hub-arm64"]
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extends: *base-config
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# Base configuration to be extended
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base-config:
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ports:
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- "11235:11235"
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- "8000:8000"
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interval: 30s
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timeout: 10s
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retries: 3
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start_period: 40s
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start_period: 40s
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time.sleep(5)
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# Test cases based on version
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# test_basic_crawl(tester)
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# test_basic_crawl(tester)
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# test_basic_crawl_sync(tester)
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test_basic_crawl_direct(tester)
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test_basic_crawl(tester)
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test_basic_crawl(tester)
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test_basic_crawl_sync(tester)
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# if version in ["full", "transformer"]:
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# test_cosine_extraction(tester)
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if version in ["full", "transformer"]:
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test_cosine_extraction(tester)
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# test_js_execution(tester)
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# test_css_selector(tester)
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# test_structured_extraction(tester)
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# test_llm_extraction(tester)
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# test_llm_with_ollama(tester)
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# test_screenshot(tester)
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test_js_execution(tester)
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test_css_selector(tester)
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test_structured_extraction(tester)
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test_llm_extraction(tester)
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test_llm_with_ollama(tester)
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test_screenshot(tester)
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def test_basic_crawl(tester: Crawl4AiTester):
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