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35 lines
836 B
Python
35 lines
836 B
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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from dotenv import load_dotenv
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from scrapegraphai.graphs import SmartScraperGraph
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from scrapegraphai.utils import convert_to_csv, convert_to_json
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load_dotenv()
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openai_key = os.getenv("OPENAI_APIKEY")
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# Define the configuration for the graph
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graph_config = {
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"llm": {
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"api_key": openai_key,
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"model": "gpt-3.5-turbo",
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},
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}
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# Create the SmartScraperGraph instance
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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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file_source="https://www.wired.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(result)
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# Save to json and csv
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convert_to_csv(result, "result")
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convert_to_json(result, "result")
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