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57 lines
1.6 KiB
Python
57 lines
1.6 KiB
Python
"""
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Basic example of scraping pipeline using SmartScraper with schema
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"""
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import os
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from typing import List
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from pydantic import BaseModel, Field
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from dotenv import load_dotenv
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from scrapegraphai.utils import prettify_exec_info
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from scrapegraphai.graphs import SmartScraperGraph
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load_dotenv()
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# ************************************************
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# Define the output schema for the graph
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# ************************************************
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class Project(BaseModel):
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title: str = Field(description="The title of the project")
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description: str = Field(description="The description of the project")
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class Projects(BaseModel):
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projects: List[Project]
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# ************************************************
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# Define the configuration for the graph
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# ************************************************
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gemini_key = os.getenv("GOOGLE_APIKEY")
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graph_config = {
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"llm": {
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"api_key": gemini_key,
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"model": "google_genai/gemini-pro",
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},
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}
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# ************************************************
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# Create the SmartScraperGraph instance and run it
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# ************************************************
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smart_scraper_graph = SmartScraperGraph(
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prompt="List me all the news with their description.",
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# also accepts a string with the already downloaded HTML code
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source="https://www.wired.com",
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schema=Projects,
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config=graph_config
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)
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result = smart_scraper_graph.run()
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print(result)
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# ************************************************
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# Get graph execution info
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# ************************************************
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graph_exec_info = smart_scraper_graph.get_execution_info()
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print(prettify_exec_info(graph_exec_info))
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