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import os |
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os.chdir('D:/Machine Learning/SLM-Project/') |
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import requests |
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from bs4 import BeautifulSoup |
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from tqdm import tqdm |
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class BritannicaUrls: |
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def __init__(self, search_queries, max_limit): |
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self.max_limit = max_limit |
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self.search_queries = search_queries |
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self.headers = {'User-Agent': "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/42.0.2311.135 Safari/537.36 Edge/12.246"} |
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def build_url(self, query, pageNo): |
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formattedQuery = '%20'.join(query.split(' ')) |
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url = f"https://www.britannica.com/search?query={formattedQuery}&page={pageNo}" |
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return url |
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def get_target_url(self, targets): |
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r = requests.get(targets, headers=self.headers) |
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list_url = [] |
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if r.status_code == 200: |
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html_content = r.content |
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soup = BeautifulSoup(html_content, 'html.parser') |
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fetched_urls = soup.find_all('a', attrs={'class': 'font-weight-bold font-18'}) |
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list_url.extend([url.get('href') for url in fetched_urls]) |
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return list_url |
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else: |
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print(f"skipping this {targets}") |
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def generate_urls(self, progress_bar=None): |
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page_urls = [] |
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total_iterations = len(self.search_queries) * self.max_limit |
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current_iteration = 0 |
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for query in self.search_queries: |
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pageNo = 1 |
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for i in range(self.max_limit): |
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target_url = self.build_url(query, pageNo) |
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pageNo += 1 |
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new_url = self.get_target_url(target_url) |
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page_urls.extend(new_url) |
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current_iteration += 1 |
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if progress_bar: |
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progress_bar.update(1) |
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return page_urls |
