mirror of
https://github.com/AmanTahiliani/webcrawler.git
synced 2026-08-07 11:55:41 -04:00
111 lines
4.2 KiB
Python
111 lines
4.2 KiB
Python
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__author__= "Aman Tahiliani"
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import requests
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from bs4 import BeautifulSoup as bs
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from urllib.parse import urljoin
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import argparse
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import multiprocessing
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class WebCrawler:
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def __init__(self, seed_url):
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manager = multiprocessing.Manager()
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self.url_queue = manager.list()
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self.url_queue.append(seed_url)
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self.visited_urls = manager.list()
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self.counter = manager.Value('i', 0)
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self.h1_word_frequency = manager.dict()
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# Using manager to create locks
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self.url_queue_lock = manager.Lock()
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self.visited_lock = manager.Lock()
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self.freq_lock = manager.Lock()
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def extract_page_info(self, url):
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# print(f"Extracting information from Url {url}")
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try:
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headers = {
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"User-Agent": "Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/63.0.3239.132 Safari/537.36 QIHU 360SE"
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}
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try:
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response = requests.get(url, headers=headers)
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except:
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return
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if response.status_code != 200:
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raise Exception(response.text)
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soup = bs(response.content, "html.parser")
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all_page_links = soup.find_all("a", href=True)
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# print(f"Found {len(set(all_page_links))} links in the current page")
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for page_link in all_page_links:
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with self.url_queue_lock:
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self.url_queue.append(urljoin(url, page_link["href"]))
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filtered_elements = soup.find_all(lambda tag: tag.name in ["h1", "h2", "h3"] and not tag.find_parents(["header", "footer", "nav"]))
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for tags in filtered_elements:
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current_sentence = tags.text
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for current_word in current_sentence.split():
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current_word = current_word.lower()
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with self.freq_lock:
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current_word_dict = self.h1_word_frequency.get(current_word, {url: 0})
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current_word_dict[url] = current_word_dict.get(url, 0) + 1
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self.h1_word_frequency[current_word] = current_word_dict
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return True
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except Exception as e:
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print(
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f"Exception occurred while crawling page {url}. Exception -> {e}"
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)
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return False
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def process_url(self, new_url):
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shouldVisit = False
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with self.visited_lock:
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if new_url not in self.visited_urls:
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shouldVisit = True
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self.visited_urls.append(new_url)
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self.counter.value += 1
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print(f"Page Number {self.counter.value}")
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if shouldVisit:
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visited = self.extract_page_info(new_url)
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def crawler(self, pages_to_parse):
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with multiprocessing.Pool() as pool:
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while True:
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with self.url_queue_lock:
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if not self.url_queue:
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break
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chunk_size = min(len(self.url_queue), multiprocessing.cpu_count())
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chunks = [self.url_queue.pop(0) for chunk in range(chunk_size)]
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pool.starmap(self.process_url, [(url,) for url in chunks])
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with self.visited_lock:
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counter_val = self.counter.value
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if counter_val >= pages_to_parse:
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break
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print("Done Parsing Pages")
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print(f"Pages Parsed {self.counter.value}/{pages_to_parse}")
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print(f'Links left to parse {len(self.url_queue)}')
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print(f'Words found in h1 {len(self.h1_word_frequency)}')
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if __name__ == "__main__":
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parser = argparse.ArgumentParser(description="Crawler to crawl forward from a seed URL")
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parser.add_argument("seed_url", help="URL to start the crawling from")
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parser.add_argument(
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"--pages_to_parse",
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help="Upper limit of how many pages that need to be parsed",
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default=1000,
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)
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args = parser.parse_args()
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seed_url = args.seed_url
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pages_to_parse = int(args.pages_to_parse)
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web_crawler = WebCrawler(seed_url)
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print(f"Seed Url: {seed_url} \nNumber of Pages to Parse {pages_to_parse}")
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print("Initiating Crawler....")
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web_crawler.crawler(pages_to_parse)
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