This example shows how to implement a search graph for web content retrieval and analysis using Scrapegraph-ai.
- Web search integration
- Content relevance scoring
- Result filtering
- Data aggregation
- Install required dependencies
- Copy
.env.example
to.env
- Configure your API keys in the
.env
file
from scrapegraphai.graphs import SearchGraph
graph = SearchGraph()
results = graph.search("your search query")
Required environment variables:
OPENAI_API_KEY
: Your OpenAI API keySERP_API_KEY
: Your SERP API key (optional)