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Scrapegraph-ai/examples/custom_graph
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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