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46 lines
1.3 KiB
Python
46 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 json
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from scrapegraphai.graphs import SmartScraperMultiLiteGraph
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from scrapegraphai.utils import prettify_exec_info
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# ************************************************
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# Define the configuration for the graph
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# ************************************************
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graph_config = {
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"llm": {
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"model": "ollama/llama3.1",
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"temperature": 0,
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"format": "json", # Ollama needs the format to be specified explicitly
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"base_url": "http://localhost:11434", # set ollama URL arbitrarily
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},
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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_multi_lite_graph = SmartScraperMultiLiteGraph(
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prompt="Who is Marco Perini?",
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source= [
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"https://perinim.github.io/",
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"https://perinim.github.io/cv/"
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],
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config=graph_config
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)
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result = smart_scraper_multi_lite_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_multi_lite_graph.get_execution_info()
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print(prettify_exec_info(graph_exec_info))
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