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52 lines
1.8 KiB
Python
52 lines
1.8 KiB
Python
"""
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Basic example of scraping pipeline using SmartScraper
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"""
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from scrapegraphai.graphs import SearchLinkGraph
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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/llama3.1:8b",
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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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"filter_config": {
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"diff_domain_filter": True,
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# "img_exts": ['.jpg', '.jpeg', '.png', '.gif', '.bmp', '.svg', '.webp', '.ico'],
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# "lang_indicators": ['lang=', '/fr', '/pt', '/es', '/de', '/jp', '/it'],
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# "irrelevant_keywords": [
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# '/login', '/signup', '/register', '/contact', 'facebook.com', 'twitter.com',
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# 'linkedin.com', 'instagram.com', '.js', '.css', '/wp-content/', '/wp-admin/',
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# '/wp-includes/', '/wp-json/', '/wp-comments-post.php', ';amp', '/about',
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# '/careers', '/jobs', '/privacy', '/terms', '/legal', '/faq', '/help',
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# '.pdf', '.zip', '/news', '/files', '/downloads'
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# ]
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},
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}
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# ************************************************
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# Create the SearchLinkGraph instance and run it
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# ************************************************
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smart_scraper_graph = SearchLinkGraph(
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source="https://sport.sky.it/nba?gr=www",
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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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