Files
scrapegraphai--scrapegraph-ai/examples/custom_graph/README.md
T
wehub-resource-sync fbfefa28d3
CodeQL / Analyze (python) (push) Failing after 0s
Release / Build (push) Failing after 1s
Release / Release (push) Waiting to run
Test Suite / Unit Tests (push) Failing after 0s
chore: import upstream snapshot with attribution
2026-07-13 12:18:10 +08:00

608 B

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