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Automatic fetching tool by Python Selenium

This is a full automatic fetching tool with Python Selenium module.
By using this tool, you can automatically obtain any Web pages even these pages require "user login" from browser. First of all, pass user login because seeing specific Web pages(entry sheet/interview/OB visit) requires it as a member of the domain. After that process, the tool fetches all links to the Web pages. Finally, from the links, the tool fetches content of the Web pages and save these as CSV file like below↓. As you can see result, All the contents have been fetched and saved with split by ','.

coding:utf-8
PURPLE  = '\033[35m'
RED     = '\033[31m'
CYAN    = '\033[36m'
OKBLUE  = '\033[94m'
OKGREEN = '\033[92m'
WARNING = '\033[93m'
FAIL    = '\033[91m'
ENDC    = '\033[0m'

from selenium import webdriver
from selenium.webdriver.chrome.options import Options
import time
from bs4 import BeautifulSoup
from extractcontent3 import ExtractContent


##### ExtractContent(only fetch contents)########
def extractor(html):
    extractor = ExtractContent()
    opt = {"threshold":50}
    extractor.analyse(html)
    text, title = extractor.as_text()
    return text


email = 'Please input your E-mail address'
password = 'Please input your password'
LOGIN_URL= 'https://unistyleinc.com/'

# Log in
b = webdriver.Chrome('./chromedriver')
b.get(LOGIN_URL)
b.find_element_by_id('LoginLink').click()
b.find_element_by_name('user[email]').send_keys(email)
b.find_element_by_name('user[password]').send_keys(password)
b.find_element_by_class_name('login_submit').click()

# Move to categories
time.sleep(1)
b.get('https://unistyleinc.com/categories')
category = b.find_element_by_class_name('es_category_list')
a = category.find_elements_by_css_selector("a")
dict_category = {}
for i in a:
    name = str(i.text.replace('>',''))
    URL  = str(i.get_attribute("href"))
    print (name+'--->'+OKBLUE+URL+ENDC)
    dict_category[name]=URL

# Move to company from the category
dict_company = {}
for name in dict_category:
    URL = dict_category[name]
    b.get(URL)
    time.sleep(1)
    companies = b.find_element_by_class_name('essearch_common_wrap')
    a = companies.find_elements_by_css_selector("a")
    for i in a:
        company = str(i.text.split(' ')[0])
        URL  = str(i.get_attribute("href"))
        if URL != 'https://unistyleinc.com/categories':
            dict_company[company] = URL
            print (company+'--->'+OKGREEN+URL+ENDC)

# Move to (ES/interview/OB visit etc...)page from company URL
W = open('result.csv','w')
W.write('ID,Company,URL,Contents\n')
dict_com_url = {}
for company in dict_company:
    URL = dict_company[company]
    b.get(URL)
    time.sleep(1)
    list_ES = b.find_elements_by_class_name('es_container')
    for i in list_ES:
        a = i.find_element_by_css_selector("a")
        url   = str(a.get_attribute("href"))
        print (company+'--->'+PURPLE+url+ENDC)
        dict_com_url.setdefault(company, []).append(url)


#Save contents
num=0
for key in dict_com_url:
    list_URL = dict_com_url[key]
    for URL in list_URL:
        try:
            b.get(URL)
            time.sleep(1)
            html = b.page_source
            text = extractor(html)
            text = text.replace(',',' ').replace('\n',' ').replace('\t','').replace('\r','')
            print (key+'--->'+PURPLE+URL+ENDC)
            print (text[:100]+'...')
            W.write(str(num)+','+key+','+URL+','+text+'\n')
        except:
            print ('request error')
        num+=1
W.close()

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