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54 lines
1.4 KiB
Python
54 lines
1.4 KiB
Python
"""
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Basic example of scraping pipeline using SmartScraper and model_instace
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"""
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import os, json
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from scrapegraphai.graphs import SmartScraperGraph
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from scrapegraphai.utils import prettify_exec_info
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from langchain_community.chat_models.moonshot import MoonshotChat
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from dotenv import load_dotenv
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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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llm_instance_config = {
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"model": "moonshot-v1-8k",
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"base_url": "https://api.moonshot.cn/v1",
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"moonshot_api_key": os.getenv("MOONLIGHT_API_KEY"),
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}
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llm_model_instance = MoonshotChat(**llm_instance_config)
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graph_config = {
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"llm": {
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"model_instance": llm_model_instance,
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"model_tokens": 10000
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},
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"verbose": True,
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"headless": True,
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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 what does the company do, the name and a contact email.",
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source="https://scrapegraphai.com/",
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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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