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Made a micro scraper.
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@ -1,10 +1,12 @@
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# Going to love the stupid tab tab tab tab system, instead of using brances.
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import time
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import re # Regular expressions
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from urllib.request import urlopen # URL request lib.
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from bs4 import BeautifulSoup # BeautifulSoup lib.
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import json
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headers = {
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'User-Agent': 'NewsSceraperBot/1.0 (news.yuanhau.com)'
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'User-Agent': 'NewsSceraperBot/1.0 (https://github.com/hpware/news-analyze)'
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}
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#url = "https://tw.news.yahoo.com/"
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@ -14,5 +16,32 @@ page = urlopen(url)
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html_bytes = page.read()
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html = html_bytes.decode("utf-8")
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soup = BeautifulSoup(html, "html.parser")
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hotarticles = soup.find_all("article")
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news_data = []
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for article in hotarticles:
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try:
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title_elem = article.find('a', class_='gPFEn')
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title = title_elem.text.strip() if title_elem else ''
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source_elem = article.find('div', class_='vr1PYe')
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source = source_elem.text.strip() if source_elem else ''
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link_elem = article.find('a', class_='WwrzSb')
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orglink = link_elem['href'] if link_elem else ''
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link = re.sub(r'./read/', 'https://news.google.com/read/', orglink)
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article_data = {
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'title': title,
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'source': source,
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'link': link,
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}
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news_data.append(article_data)
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except Exception as e:
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print(f"Error processing article: {e}")
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continue
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with open('news.json', 'w', encoding='utf-8') as f:
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json.dump(news_data, f, ensure_ascii=False, indent=2)
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print(soup.find_all("article"))
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