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Create crawl_hindustan_times_and_get_top_news.py
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@ -1,6 +1,6 @@
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"""
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Fetch all the top headlines from Hindustan Times News website with title, link to the news article
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and cover image link.
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Fetch all the top headlines from Hindustan Times News website with
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title, link to the news article and cover image link.
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The following format is used while displaying the data
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@ -17,18 +17,19 @@ import requests
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from bs4 import BeautifulSoup
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def fetch_ht_news():
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def fetch_ht_news() -> dict:
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header = {
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"Accept": "image/avif,image/webp,image/apng,image/svg+xml,image/*,*/*;q=0.8",
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"Sec-GPC": "1",
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"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/127.0.0.0 Safari/537.36",
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"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/127.0.0.0 Safari/537.36""",
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"sec-ch-ua": '"Not)A;Brand";v="99", "Brave";v="127", "Chromium";v="127"',
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"sec-ch-ua-mobile": "?0",
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"sec-ch-ua-platform": "Windows",
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}
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url = "https://www.hindustantimes.com/"
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page_request = requests.get(url, headers=header)
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page_request = requests.get(url, headers=header, timeout=10)
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data = page_request.content
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soup = BeautifulSoup(data, "html.parser")
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@ -44,7 +45,7 @@ def fetch_ht_news():
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imgtag = divtag.find("img")
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try:
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img = imgtag["data-src"]
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except Exception:
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except KeyError:
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img = imgtag["src"]
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news[counter] = {"title": title, "link": link, "img": img}
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counter += 1
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