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51 lines
1.3 KiB
Python
51 lines
1.3 KiB
Python
"""
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Basic example of scraping pipeline using SmartScraper
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"""
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import os
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import json
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from dotenv import load_dotenv
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from scrapegraphai.graphs import SmartScraperGraph
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from scrapegraphai.utils import prettify_exec_info
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load_dotenv()
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# ************************************************
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# Define the configuration for the graph
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# ************************************************
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openai_key = os.getenv("OPENAI_APIKEY")
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prompt = "Some more info"
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graph_config = {
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"llm": {
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"api_key": openai_key,
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"model": "openai/gpt-3.5-turbo",
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},
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"additional_info": prompt,
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"verbose": True,
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"headless": False,
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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 projects with their description",
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# also accepts a string with the already downloaded HTML code
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source="https://perinim.github.io/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(json.dumps(result, indent=4))
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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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