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WebScraping.py
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WebScraping.py
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import re
import requests
from bs4 import BeautifulSoup
from urllib.parse import urlparse, urljoin
import colorama
import numpy as np
import string as string_package
import webbrowser
from selenium import webdriver
from selenium.webdriver.common.keys import Keys
import urllib
import time
# init the colorama module
colorama.init()
GREEN = colorama.Fore.GREEN
GRAY = colorama.Fore.LIGHTBLACK_EX
RED = colorama.Fore.RED
CYAN = colorama.Fore.CYAN
RESET = colorama.Fore.RESET
class personal_webpage_information():
def __init__(self, url):
"""
url : personal webpage URL (string)
browser_path : path to browser in the computer (string) in order
to use selenium
"""
self.url = url
# delay for selenium loading page
self.delay = 300 # seconds
# request url
self.page = requests.get(self.url)
self.soup = BeautifulSoup(self.page.text, "lxml")
def longest_string(self, liste):
"""
Returns the longuest string in a liste and "" if
the liste is empty
"""
if len(liste) != 0:
return max(liste, key=len)
else:
return ""
def shortest_string(self, liste):
"""
Returns the shortest string in a liste and "" if
the liste is empty
"""
if len(liste) != 0:
return min(liste, key=len)
else:
return ""
def is_valid(self, url):
"""
Checks whether 'url' is a valid URL.
"""
parsed = urlparse(url)
return bool(parsed.netloc) and bool(parsed.scheme)
def set_to_array(self, set):
"""
Transforms a set type to an array type.
"""
numpy_array = []
for x in set:
numpy_array.append(x)
return np.asarray(numpy_array)
def get_all_website_links(self):
"""
Returns all URLs (internal and external) that is found on 'url'
in which it belongs to the same website.
"""
url = self.url
# Initialize the set of links (unique links)
internal_urls = set()
external_urls = set()
# all URLs of 'url'
urls = set()
# domain name of the URL without the protocol
domain_name = urlparse(url).netloc
soup = BeautifulSoup(requests.get(url).content, "html.parser")
for a_tag in soup.findAll("a"):
href = a_tag.attrs.get("href")
if href == "" or href is None:
# href empty tag
continue
# join the URL if it's relative (not absolute link)
href = urljoin(url, href)
parsed_href = urlparse(href)
# remove URL GET parameters, URL fragments, etc.
href = parsed_href.scheme + "://" + parsed_href.netloc + parsed_href.path
if not self.is_valid(href):
# not a valid URL
continue
if href in internal_urls:
# already in the set
continue
if domain_name not in href:
# external link
if href not in external_urls:
print(f"{GRAY}[!] External link: {href}{RESET}")
external_urls.add(href)
continue
print(f"{GREEN}[*] Internal link: {href}{RESET}")
urls.add(href)
internal_urls.add(href)
return self.set_to_array(internal_urls), self.set_to_array(external_urls)
def link_header(self, url):
"""
Returns all valid headers/names (and their respective urls) of a
page given its link as url string.
"""
headers = []
headers_urls = []
soup = self.soup
for header in soup.find_all("a"):
header_string = header.get_text()
if any(c.isalpha() for c in header_string): #Select strings containing at least one letter
invalidcharacters= set(string_package.punctuation)
if not any(char in invalidcharacters for char in header_string) or '-' in header_string: #Select Headers without special any character
if not header_string in headers: #Ignore Headers that already exist
headers.append(header_string)
# get the respective url
href = header.attrs.get("href")
if href == "" or href is None:
# href empty tag
continue
# join the URL if it's relative (not absolute link)
href = urljoin(url, href)
parsed_href = urlparse(href)
# remove URL GET parameters, URL fragments, etc.
href = parsed_href.scheme + "://" + parsed_href.netloc + parsed_href.path
if not self.is_valid(href):
# not a valid URL
continue
headers_urls.append(href)
headers = np.asarray(headers)
headers_urls = np.asarray(headers_urls)
return headers, headers_urls
def open_url(self, url):
"""
Opens 'url' on the internet.
"""
webbrowser.open(url)
def go_to_other_page(self, url):
"""
Selects manuelly a header on a page and returns its url
starting from 'url'.
"""
headers, headers_urls = self.link_header(url)
# print the headers
print(f"{GREEN}\n ### SELECT A HEADER### \n")
for header in headers:
print(f"{RESET}-- " + header)
print("\n")
# chose a header
chosen_header = input()
while not chosen_header in headers:
print(f"{GREEN}\n ###HEADER DOES NOT EXIST### \n")
chosen_header = input()
chosen_header_index = np.where(headers == chosen_header)
chosen_header_url = headers_urls[chosen_header_index]
# open the header's link if wanted
print(f"{GREEN}\n ###OPEN THE LINK ? (y/n)### \n")
if input() == "y":
self.open_url(chosen_header_url[0])
return chosen_header_url[0]
def navigate_website(self):
"""
Virtually navigates through the website.
"""
url = self.url
print(f"{CYAN}\n###NAVIGATE### \n" + "###PRESS Ctrl C IN THE KERNAL TO EXIT### \n")
url_page = self.go_to_other_page(url)
while True:
url_page = self.go_to_other_page(url_page)
def find_arXiv_page(self, name):
"""
Returns the arXiv page URL of 'name' if it
contains at least one article and returns
None if the name has no article found.
"""
# initialize the browser
browser = webdriver.Firefox(executable_path = "/home/dwerth/Documents/Etudiants_Ambassadeurs/Selenium_package/geckodriver")
browser.implicitly_wait(self.delay)
try:
# browse arXiv main page
browser.get("https://arxiv.org/")
# select the search bar
searchBar = browser.find_element_by_name("query")
# type the name
searchBar.send_keys(name)
# type ENTER
searchBar.send_keys(Keys.ENTER)
# wait until the page is loaded
wait_execution = type(browser.find_element_by_id("abstracts-1"))
# check if the page contains at least an article
URL = browser.current_url
html_code = str(urllib.request.urlopen(URL).read())
if "produced no results." in html_code:
URL = ""
# close browser
browser.close()
return URL
except Exception as e:
print("Exception found", format(e))
def find_emails(self):
"""
Finds all emails on a webpage given its "url".
"""
url = self.url
# initialize the browser
browser = webdriver.Firefox(executable_path = "/home/dwerth/Documents/Etudiants_Ambassadeurs/Selenium_package/geckodriver")
browser.implicitly_wait(self.delay)
browser.get(url)
# initialize the page source code
doc = browser.page_source
# replace weird email by a valid email
doc = doc.replace(" -At- ", "@")
doc = doc.replace("’at’ ", "@")
doc = doc.replace("`at`", "@")
doc = doc.replace("'at'", "@")
doc = doc.replace("(arobase/at)", "@")
doc = doc.replace(" [AT] ", "[AT]")
doc = doc.replace("[AT]", "@")
doc = doc.replace(" [at] ", "[at]")
doc = doc.replace("[at]", "@")
doc = doc.replace(" (at) ", "(at)")
doc = doc.replace("(at)", "@")
doc = doc.replace(" (AT) ", "(AT)")
doc = doc.replace("(AT)", "@")
doc = doc.replace(" (@) ", "(@)")
doc = doc.replace("(@)", "@")
doc = doc.replace(" [@] ", "[@]")
doc = doc.replace("[@]", "@")
doc = doc.replace(" (arobase) ", "(arobase)")
doc = doc.replace("(arobase)", "@")
doc = doc.replace(" [DOT] ", "[DOT]")
doc = doc.replace("[DOT]", ".")
doc = doc.replace(" [dot] ", "[dot]")
doc = doc.replace("[dot]", ".")
doc = doc.replace(" (dot) ", "(dot)")
doc = doc.replace("(dot)", ".")
doc = doc.replace(" (.) ", "(.)")
doc = doc.replace("(.)", ".")
doc = doc.replace(" [.] ", "[.]")
doc = doc.replace("[.]", ".")
# find all emails than fit with regression
emails = re.findall(r"[\w\.-]+@[\w\.\-]+.[\w\.\-]", doc)
# delete repeated elements
emails = list(set(emails))
browser.close()
return np.asarray(emails)
def find_tel(self):
"""
Finds all telephone numbers on a webpage given its "url".
"""
try:
telephone = re.findall(r"((?:[+]33|\([+]33\))?(?:\s|-|\.)?(?:\(\d\)\d|\d{2}|\d|\(\d\)|\d{3})?(?:\s|-|\.)?(?:\d{2}|\d{3})?(?:\s|-|\.)?\d{2}?(?:\s|-|\.)?\d{2}?(?:\s|-|\.)?\d{2})",str(self.soup))
telephone.append('')
tel = str(self.longest_string(telephone))
# delete first character if it is a space
if tel[0] == " ":
tel = tel[1:]
# add +33 (0) if the number starts with 1
if tel[0] == "1":
prefixe = "+33 (0)"
tel = prefixe + tel
return tel
except:
return ""
def find_names_according_to_emails(self, emails):
"""
Finds the names given their emails.
"""
split_emails = []
names = []
name_emails = []
# loop over the emails found on webpage to select string before "@"
n = len(emails)
for i in range(n):
string = emails[i].split("@")[0]
# select emails with "."
if "." in string:
split_emails.append(string.split("."))
# select emails with invalid character except "."
invalidcharacters= set(string_package.punctuation)
if any(char in invalidcharacters for char in string) and not "." in string:
split_emails.append(string)
# select emails with one word ie without special character
if not any(char in invalidcharacters for char in string):
split_emails.append(string)
# loop to find the name on the page
for i in range(n):
split_email = split_emails[i]
# if two words divided by dot
if type(split_email) == list and len(split_email) == 2:
prenom = split_email[0].lower().capitalize()
nom = split_email[1].upper()
names.append([prenom, nom])
name_emails.append(emails[i])
# if one word without special character
if type(split_email) == str and not any(char in invalidcharacters for char in string):
names.append([split_email.upper()])
name_emails.append(emails[i])
split_emails = np.asarray(split_emails)
return names, name_emails
def find_names_and_emails_on_webpage(self):
"""
Gives the names and corresponding emails found
on a webpage given its "url"
"""
emails = self.find_emails()
names, name_emails = self.find_names_according_to_emails(emails)
return names, name_emails
def find_single_name(self, guess_name):
"""
Sorts the name given by the function find_emails
according to a webpage (this function works when the email is
composed just with the last name).
"""
children = list(self.soup.body.descendants)
# list of names found on the website
names_found = []
# select the name if one word
if len(guess_name) == 1:
for k in range(len(children)):
try:
# if the name is found in the Website
if guess_name[0].lower() in children[k].string.lower():
names_found.append(children[k].string)
except:
continue
# select the right names
if len(guess_name) == 2:
names_found.append(guess_name[0] + " " + guess_name[1])
# delete elements containing invalid characters
invalidcharacters= set(string_package.punctuation)
for element in names_found:
if any(char in invalidcharacters for char in element) or "." in element:
names_found.remove(element)
names_found = self.shortest_string(names_found)
return names_found
def find_name(self, guess_name_list):
"""
Finds the name of the person according to its
occurence in the website.
This function uses find_single_name.
"""
n = len(guess_name_list)
historic = []
for k in range(n):
name_k = self.find_single_name(guess_name_list[k])
historic.append(name_k)
return self.shortest_string(historic), np.argmin(np.array(historic))
def find_name_email_tel_arXiv_on_webpage(self):
"""
Gives the names and corresponding emails found
on a webpage given its "url"
"""
start_time = time.time()
url = self.url
#page = requests.get(url)
#soup = BeautifulSoup(page.text, "lxml")
print(f"{GREEN}\n###\nURL : " + str(url) + "\n###\n")
print(f"{RESET}")
try:
# find tels on the webpage
tels = self.find_tel()
# guess the names and emails according to webapge (can be multiple)
guess_names, guess_emails = self.find_names_and_emails_on_webpage()
# if emails not found on webpage
if guess_emails == []:
raise Exception(f"{RED}No email found on this webpage!")
name, index = self.find_name(guess_names)
email = guess_emails[index]
# give the arXiv page
Arxiv = self.find_arXiv_page(name)
# print information found
print(f"{CYAN}name : " + str(name))
print(f"{CYAN}tels : " + str(tels))
print(f"{CYAN}email : " + str(email))
print(f"{CYAN}ArXiv : " + str(Arxiv))
print(f"{RESET}")
# print execution time
print(f"{GREEN}--- %s seconds --- " % (time.time() - start_time))
print(f"{RESET}")
return name, tels, email, Arxiv
except Exception as e:
print("Exception found", format(e))