scrapegraph-py 1.5.0b1

ScrapeGraph Python SDK for API

🌐 ScrapeGraph Python SDK

Official Python SDK for the ScrapeGraph AI API - Smart web scraping powered by AI.

🚀 Features

• ✨ Smart web scraping with AI
• 🔄 Both sync and async clients
• 📊 Structured output with Pydantic schemas
• 🔍 Detailed logging with emojis
• ⚡ Automatic retries and error handling
• 🔐 Secure API authentication

📦 Installation

Using pip

pip install scrapegraph-py

Using uv

We recommend using uv to install the dependencies and pre-commit hooks.

# Install uv if you haven't already
pip install uv

# Install dependencies
uv sync

# Install pre-commit hooks
uv run pre-commit install

🔧 Quick Start

[!NOTE] If you prefer, you can use the environment variables to configure the API key and load them using load_dotenv()

from scrapegraph_py import SyncClient
from scrapegraph_py.logger import get_logger

# Enable debug logging
logger = get_logger(level="DEBUG")

# Initialize client
sgai_client = SyncClient(api_key="your-api-key-here")

# Make a request
response = sgai_client.smartscraper(
    website_url="https://example.com",
    user_prompt="Extract the main heading and description"
)

print(response["result"])

🎯 Examples

Async Usage

import asyncio
from scrapegraph_py import AsyncClient

async def main():
    async with AsyncClient(api_key="your-api-key-here") as sgai_client:
        response = await sgai_client.smartscraper(
            website_url="https://example.com",
            user_prompt="Summarize the main content"
        )
        print(response["result"])

asyncio.run(main())

With Output Schema

from pydantic import BaseModel, Field
from scrapegraph_py import SyncClient

class WebsiteData(BaseModel):
    title: str = Field(description="The page title")
    description: str = Field(description="The meta description")

sgai_client = SyncClient(api_key="your-api-key-here")
response = sgai_client.smartscraper(
    website_url="https://example.com",
    user_prompt="Extract the title and description",
    output_schema=WebsiteData
)

print(response["result"])

📚 Documentation

For detailed documentation, visit docs.scrapegraphai.com

🛠️ Development

Setup

1. Clone the repository:

git clone https://github.com/ScrapeGraphAI/scrapegraph-sdk.git
cd scrapegraph-sdk/scrapegraph-py

2. Install dependencies:

uv sync

3. Install pre-commit hooks:

uv run pre-commit install

Running Tests

# Run all tests
uv run pytest

# Run specific test file
poetry run pytest tests/test_client.py

📝 License

This project is licensed under the MIT License - see the LICENSE file for details.

🤝 Contributing

Contributions are welcome! Please feel free to submit a Pull Request. For major changes, please open an issue first to discuss what you would like to change.

1. Fork the repository
2. Create your feature branch (git checkout -b feature/AmazingFeature)
3. Commit your changes (git commit -m 'Add some AmazingFeature')
4. Push to the branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

🔗 Links

• Website
• Documentation
• GitHub

💬 Support

• 📧 Email: [e-mail]
• 💻 GitHub Issues: Create an issue
• 🌟 Feature Requests: Request a feature

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Made with ❤️ by ScrapeGraph AI