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Scrapegraph-ai/examples/search_graph
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Marco Vinciguerra f315f3a8c0 feat: add new tests
2026-01-20 14:01:09 +01:00
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README.md

Search Graph Example

This example shows how to implement a search graph for web content retrieval and analysis using Scrapegraph-ai.

Features

  • Web search integration
  • Content relevance scoring
  • Result filtering
  • Data aggregation

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 SearchGraph

graph = SearchGraph()
results = graph.search("your search query")

Environment Variables

Required environment variables:

  • OPENAI_API_KEY: Your OpenAI API key
  • SERP_API_KEY: Your SERP API key (optional)