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2024-01-26 12:28:51 -05:00
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.gitignore vendored
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# C extensions
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.Python
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MultiThreaded.py Normal file
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__author__= "Aman Tahiliani"
import requests
from bs4 import BeautifulSoup as bs
from urllib.parse import urljoin
import argparse
import multiprocessing
class WebCrawler:
def __init__(self, seed_url):
manager = multiprocessing.Manager()
self.url_queue = manager.list()
self.url_queue.append(seed_url)
self.visited_urls = manager.list()
self.counter = manager.Value('i', 0)
self.h1_word_frequency = manager.dict()
# Using manager to create locks
self.url_queue_lock = manager.Lock()
self.visited_lock = manager.Lock()
self.freq_lock = manager.Lock()
def extract_page_info(self, url):
# print(f"Extracting information from Url {url}")
try:
headers = {
"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"
}
try:
response = requests.get(url, headers=headers)
except:
return
if response.status_code != 200:
raise Exception(response.text)
soup = bs(response.content, "html.parser")
all_page_links = soup.find_all("a", href=True)
# print(f"Found {len(set(all_page_links))} links in the current page")
for page_link in all_page_links:
with self.url_queue_lock:
self.url_queue.append(urljoin(url, page_link["href"]))
filtered_elements = soup.find_all(lambda tag: tag.name in ["h1", "h2", "h3"] and not tag.find_parents(["header", "footer", "nav"]))
for tags in filtered_elements:
current_sentence = tags.text
for current_word in current_sentence.split():
current_word = current_word.lower()
with self.freq_lock:
current_word_dict = self.h1_word_frequency.get(current_word, {url: 0})
current_word_dict[url] = current_word_dict.get(url, 0) + 1
self.h1_word_frequency[current_word] = current_word_dict
return True
except Exception as e:
print(
f"Exception occurred while crawling page {url}. Exception -> {e}"
)
return False
def process_url(self, new_url):
shouldVisit = False
with self.visited_lock:
if new_url not in self.visited_urls:
shouldVisit = True
self.visited_urls.append(new_url)
self.counter.value += 1
print(f"Page Number {self.counter.value}")
if shouldVisit:
visited = self.extract_page_info(new_url)
def crawler(self, pages_to_parse):
with multiprocessing.Pool() as pool:
while True:
with self.url_queue_lock:
if not self.url_queue:
break
chunk_size = min(len(self.url_queue), multiprocessing.cpu_count())
chunks = [self.url_queue.pop(0) for chunk in range(chunk_size)]
pool.starmap(self.process_url, [(url,) for url in chunks])
with self.visited_lock:
counter_val = self.counter.value
if counter_val >= pages_to_parse:
break
print("Done Parsing Pages")
print(f"Pages Parsed {self.counter.value}/{pages_to_parse}")
print(f'Links left to parse {len(self.url_queue)}')
print(f'Words found in h1 {len(self.h1_word_frequency)}')
if __name__ == "__main__":
parser = argparse.ArgumentParser(description="Crawler to crawl forward from a seed URL")
parser.add_argument("seed_url", help="URL to start the crawling from")
parser.add_argument(
"--pages_to_parse",
help="Upper limit of how many pages that need to be parsed",
default=1000,
)
args = parser.parse_args()
seed_url = args.seed_url
pages_to_parse = int(args.pages_to_parse)
web_crawler = WebCrawler(seed_url)
print(f"Seed Url: {seed_url} \nNumber of Pages to Parse {pages_to_parse}")
print("Initiating Crawler....")
web_crawler.crawler(pages_to_parse)

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SingleThreaded.py Normal file
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__author__ = "Aman Tahiliani"
import requests
import lxml
from bs4 import BeautifulSoup as bs
from urllib.parse import urljoin
import argparse
class WebCrawler:
def __init__(self):
self.title_keyword_frequency = {}
self.word_frequency = {}
self.url_queue = [seed_url]
self.visited_urls = set()
self.counter = 0
self.h1_word_frequency = {}
def extract_page_info(self, url):
print(f"Extracting information from Url {url}")
try:
headers = {
"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"
}
response = requests.get(url, headers=headers)
if response.status_code != 200:
raise Exception(response.text)
soup = bs(response.content, "html.parser")
all_page_links = soup.find_all("a", href=True)
print(f"Found {len(all_page_links)} links in the current page")
for page_link in all_page_links:
self.url_queue.append(urljoin(url, page_link["href"]))
filtered_elements = soup.find_all(lambda tag: tag.name in ["h1", "h2", "h3"] and not tag.find_parents(["header", "footer","nav"]))
for tags in filtered_elements:
current_sentence = tags.text
for current_word in current_sentence.split():
current_word = current_word.lower()
current_word_dict = self.h1_word_frequency.get(current_word, {url:0})
current_word_dict[url] = current_word_dict.get(url, 0) + 1
self.h1_word_frequency[current_word] = current_word_dict
# for tags in h2_tags:
# current_sentence = tags.text
# for current_word in current_sentence.split():
# self.h2_word_frequency[current_word] = (
# self.h2_word_frequency.get(current_word, 0) + 1
# )
return True
except Exception as e:
print(
"Exception occured while crawling page {url}. Exception -> {e}".format(
url=url, e=e
)
)
return False
def crawler(self, seed_url, pages_to_parse):
# Clearning the frequency Dictionaries
self.title_keyword_frequency.clear()
self.word_frequency.clear()
self.url_queue = [seed_url]
self.visited_urls = set()
self.counter = 0
while len(self.url_queue) and self.counter < pages_to_parse:
new_url = self.url_queue.pop(0)
if new_url not in self.visited_urls:
self.counter += 1
print(f"Page Numeber {self.counter}")
visited = self.extract_page_info(new_url)
if visited:
self.visited_urls.add(new_url)
print("Done Parsing Pages")
print(f"Pages Parsed {len(self.visited_urls)}/{pages_to_parse}")
print(f'Words found in h1 {len(self.h1_word_frequency)}')
print(self.h1_word_frequency)
# print(f'Words found in h2 {len(self.h2_word_frequency)}')
# print(self.h2_word_frequency)
parser = argparse.ArgumentParser(description="Crawler to crawl forward from a seed URL")
parser.add_argument("seed_url", help="URL to start the crawling from")
parser.add_argument(
"--pages_to_parse",
help="Upper limit of how many pages that need to be parsed",
default=1000,
)
args = parser.parse_args()
seed_url = args.seed_url
pages_to_parse = args.pages_to_parse
if type(pages_to_parse == str):
pages_to_parse = int(pages_to_parse)
web_crawler = WebCrawler()
print(f"Seed Url: {seed_url} \n Number of Pages to Parse {pages_to_parse}")
print("Initiating Crawler....")
web_crawler.crawler(seed_url, pages_to_parse)