README.md

Custom Graph Example

This example demonstrates how to create and implement custom graphs using Scrapegraph-ai.

Features

• Custom node creation
• Graph customization
• Pipeline configuration
• Custom data processing

Setup

1. Install required dependencies
2. Copy .env.example to .env
3. Configure your API keys in the .env file

Usage

from scrapegraphai.graphs import CustomGraph

graph = CustomGraph()
graph.add_node("custom_node", CustomNode())
results = graph.process()

Environment Variables

Required environment variables:

• OPENAI_API_KEY: Your OpenAI API key