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46 lines
1.0 KiB
Python
46 lines
1.0 KiB
Python
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import requests
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from bs4 import BeautifulSoup
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import urllib.request
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from email_scraper import scrape_emails
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import pandas as pd
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from google.colab import files
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urlid = input("Enter Website url (i.e.: example.com): ")
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url = "https://"+urlid+"/"
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reqs = requests.get(url)
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soup = BeautifulSoup(reqs.text, 'html.parser')
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urls = []
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response = []
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email = []
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for link in soup.find_all('a'):
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urls.append(link.get('href'))
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for i in range(len(urls)):
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if(urls[i].startswith("https://")):
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fp = urllib.request.urlopen(url+urls[i])
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mybytes = fp.read()
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mystr = mybytes.decode("utf8")
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fp.close()
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response.append(scrape_emails(mystr))
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else:
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fp = urllib.request.urlopen(url+urls[i])
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mybytes = fp.read()
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mystr = mybytes.decode("utf8")
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fp.close()
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response.append(scrape_emails(mystr))
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for r in range(len(response)):
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if not response[r]:
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continue
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else:
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email.append(response[r])
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df = pd.DataFrame(email, columns=["Email"])
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df.to_csv('email.csv', index=False)
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files.download("email.csv")
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