"""
Basic example of scraping pipeline using SmartScraper with schema
"""
import json
import os
from typing import Dict
from dotenv import load_dotenv
from pydantic import BaseModel
from scrapegraphai.graphs import SmartScraperGraph
load_dotenv()
class Project(BaseModel):
title: str
description: str
class Projects(BaseModel):
Projects: Dict[str, Project]
openai_key = os.getenv("OPENAI_APIKEY")
graph_config = {
"llm": {
"model": "ernie/ernie-bot-turbo",
"ernie_client_id": "<ernie_client_id>",
"ernie_client_secret": "<ernie_client_secret>",
"temperature": 0.1
},
"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))