"""
Basic example of scraping pipeline using SmartScraper with schema
"""
import os
import json
from typing import List
from pydantic import BaseModel, Field
from dotenv import load_dotenv
from scrapegraphai.graphs import SmartScraperGraph
load_dotenv()
class Project(BaseModel):
title: str = Field(description="The title of the project")
description: str = Field(description="The description of the project")
class Projects(BaseModel):
projects: List[Project]
graph_config = {
"llm": {
"api_key": os.environ["AZURE_OPENAI_KEY"],
"model": "azure_openai/gpt-4o"
},
"verbose": True,
"headless": False
}
smart_scraper_graph = SmartScraperGraph(
prompt="List me all the projects with their description",
source="https://perinim.github.io/projects/",
schema=Projects,
config=graph_config
)
result = smart_scraper_graph.run()
print(json.dumps(result, indent=4))