CodeCow/Scrapegraph-ai
1
0
Fork 0
mirror of https://github.com/VinciGit00/Scrapegraph-ai.git synced 2026-06-23 21:00:30 +08:00
Code Issues Actions Packages Projects Releases Wiki Activity
224ff07032
Scrapegraph-ai/examples/search_graph
History
Marco Vinciguerra 0b582bea66 refactoring examples
2025-01-07 14:48:40 +01:00
..
ollama refactoring examples 2025-01-07 14:48:40 +01:00
openai refactoring examples 2025-01-07 14:48:40 +01:00
.env.example refactoring examples 2025-01-07 14:48:40 +01:00
README.md refactoring examples 2025-01-07 14:48:40 +01:00

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)