
Update all documentation URLs from crawl4ai.com/mkdocs to docs.crawl4ai.com across README, examples, and documentation files. This change reflects the new documentation hosting domain. Also add todo/ directory to .gitignore.
137 lines
3.6 KiB
Markdown
137 lines
3.6 KiB
Markdown
# Installation 💻
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Crawl4AI offers flexible installation options to suit various use cases. You can install it as a Python package, use it with Docker, or run it as a local server.
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## Option 1: Python Package Installation (Recommended)
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Crawl4AI is now available on PyPI, making installation easier than ever. Choose the option that best fits your needs:
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### Basic Installation
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For basic web crawling and scraping tasks:
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```bash
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pip install crawl4ai
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playwright install # Install Playwright dependencies
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```
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### Installation with PyTorch
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For advanced text clustering (includes CosineSimilarity cluster strategy):
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```bash
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pip install crawl4ai[torch]
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```
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### Installation with Transformers
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For text summarization and Hugging Face models:
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```bash
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pip install crawl4ai[transformer]
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```
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### Full Installation
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For all features:
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```bash
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pip install crawl4ai[all]
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```
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### Development Installation
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For contributors who plan to modify the source code:
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```bash
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git clone https://github.com/unclecode/crawl4ai.git
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cd crawl4ai
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pip install -e ".[all]"
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playwright install # Install Playwright dependencies
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```
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💡 After installation with "torch", "transformer", or "all" options, it's recommended to run the following CLI command to load the required models:
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```bash
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crawl4ai-download-models
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```
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This is optional but will boost the performance and speed of the crawler. You only need to do this once after installation.
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## Playwright Installation Note for Ubuntu
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If you encounter issues with Playwright installation on Ubuntu, you may need to install additional dependencies:
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```bash
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sudo apt-get install -y \
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libwoff1 \
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libopus0 \
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libwebp7 \
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libwebpdemux2 \
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libenchant-2-2 \
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libgudev-1.0-0 \
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libsecret-1-0 \
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libhyphen0 \
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libgdk-pixbuf2.0-0 \
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libegl1 \
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libnotify4 \
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libxslt1.1 \
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libevent-2.1-7 \
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libgles2 \
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libxcomposite1 \
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libatk1.0-0 \
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libatk-bridge2.0-0 \
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libepoxy0 \
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libgtk-3-0 \
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libharfbuzz-icu0 \
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libgstreamer-gl1.0-0 \
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libgstreamer-plugins-bad1.0-0 \
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gstreamer1.0-plugins-good \
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gstreamer1.0-plugins-bad \
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libxt6 \
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libxaw7 \
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xvfb \
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fonts-noto-color-emoji \
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libfontconfig \
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libfreetype6 \
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xfonts-cyrillic \
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xfonts-scalable \
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fonts-liberation \
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fonts-ipafont-gothic \
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fonts-wqy-zenhei \
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fonts-tlwg-loma-otf \
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fonts-freefont-ttf
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```
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## Option 2: Using Docker (Coming Soon)
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Docker support for Crawl4AI is currently in progress and will be available soon. This will allow you to run Crawl4AI in a containerized environment, ensuring consistency across different systems.
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## Option 3: Local Server Installation
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For those who prefer to run Crawl4AI as a local server, instructions will be provided once the Docker implementation is complete.
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## Verifying Your Installation
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After installation, you can verify that Crawl4AI is working correctly by running a simple Python script:
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```python
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import asyncio
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from crawl4ai import AsyncWebCrawler
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async def main():
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async with AsyncWebCrawler(verbose=True) as crawler:
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result = await crawler.arun(url="https://www.example.com")
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print(result.markdown[:500]) # Print first 500 characters
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if __name__ == "__main__":
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asyncio.run(main())
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```
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This script should successfully crawl the example website and print the first 500 characters of the extracted content.
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## Getting Help
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If you encounter any issues during installation or usage, please check the [documentation](https://docs.crawl4ai.com/) or raise an issue on the [GitHub repository](https://github.com/unclecode/crawl4ai/issues).
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Happy crawling! 🕷️🤖 |