This example demonstrates how to create and implement custom graphs using Scrapegraph-ai.
- Custom node creation
- Graph customization
- Pipeline configuration
- Custom data processing
- Install required dependencies
- Copy
.env.example
to.env
- Configure your API keys in the
.env
file
from scrapegraphai.graphs import CustomGraph
graph = CustomGraph()
graph.add_node("custom_node", CustomNode())
results = graph.process()
Required environment variables:
OPENAI_API_KEY
: Your OpenAI API key