__author__ = 'DarkWeb'
# Here, we are importing the auxiliary functions to clean or convert data
from MarketPlaces.Utilities.utilities import *
# Here, we are importing BeautifulSoup to search through the HTML tree
from bs4 import BeautifulSoup
# parses description pages, so takes html pages of description pages using soup object, and parses it for info it needs
# stores info it needs in different lists, these lists are returned after being organized
# @param: soup object looking at html page of description page
# return: 'row' that contains a variety of lists that each hold info on the description page
def MikesGrandStore_description_parser(soup):
# Fields to be parsed
vendor = "-1" # 0 *Vendor_Name
success = "-1" # 1 Vendor_Successful_Transactions
rating_vendor = "-1" # 2 Vendor_Rating
name = "-1" # 3 *Product_Name
describe = "-1" # 4 Product_Description
CVE = "-1" # 5 Product_CVE_Classification (Common Vulnerabilities and Exposures)
MS = "-1" # 6 Product_MS_Classification (Microsoft Security)
category = "-1" # 7 Product_Category
views = "-1" # 8 Product_Number_Of_Views
reviews = "-1" # 9 Product_Number_Of_Reviews
rating_item = "-1" # 10 Product_Rating
addDate = "-1" # 11 Product_AddedDate
BTC = "-1" # 12 Product_BTC_SellingPrice
USD = "-1" # 13 Product_USD_SellingPrice
EURO = "-1" # 14 Product_EURO_SellingPrice
sold = "-1" # 15 Product_QuantitySold
left = "-1" # 16 Product_QuantityLeft
shipFrom = "-1" # 17 Product_ShippedFrom
shipTo = "-1" # 18 Product_ShippedTo
image = "-1" # 19 Product_Image
vendor_image = "-1" # 20 Vendor_Image
# Finding Product Name
name = soup.find('h1', {'class': 'product-title product_title entry-title'}).text
name = cleanString(name)
name = name.strip()
# Finding Vendor
# no vendor
vendor = "MikesGrandStore"
# Finding the Product Rating
rating_item = soup.find('strong', {'class', 'rating'}).text
rating_item = cleanNumbers(rating_item)
rating_item = rating_item.strip()
# Finding Number of Product Reviews
review_container = soup.find('li', {'id': 'tab-title-reviews'})
reviews = review_container.find('a').text
reviews = cleanNumbers(reviews)
reviews = reviews.strip()
# Finding Prices
USD = soup.find('span', {'class': 'woocommerce-Price-currencySymbol'}).next_sibling.text
USD = cleanNumbers(USD)
USD = USD.strip()
# Finding the Product Quantity Available
stock = soup.find('p', {'class': 'stock in-stock'})
if stock is not None:
left = stock.text
left = cleanNumbers(left)
left = left.strip()
# Finding the Product description
describe = soup.find('div', {'id': 'tab-description'}).text
describe = cleanString(describe)
describe = describe.strip()
# Finding Product Image
image = soup.find('img', {'class': 'wp-post-image skip-lazy'})
image = image.get('src')
image = image.split('base64,')[-1]
# Searching for CVE and MS categories
cve = soup.findAll(text=re.compile('CVE-\d{4}-\d{4}'))
if cve:
CVE = " "
for idx in cve:
CVE += (idx)
CVE += " "
CVE = CVE.replace(',', ' ')
CVE = CVE.replace('\n', '')
ms = soup.findAll(text=re.compile('MS\d{2}-\d{3}'))
if ms:
MS = " "
for im in ms:
MS += (im)
MS += " "
MS = MS.replace(',', ' ')
MS = MS.replace('\n', '')
# Populating the final variable (this should be a list with all fields scraped)
row = (vendor, rating_vendor, success, name, describe, CVE, MS, category, views, reviews, rating_item, addDate,
BTC, USD, EURO, sold, left, shipFrom, shipTo, image, vendor_image)
# Sending the results
return row
# parses listing pages, so takes html pages of listing pages using soup object, and parses it for info it needs
# stores info it needs in different lists, these lists are returned after being organized
# @param: soup object looking at html page of listing page
# return: 'row' that contains a variety of lists that each hold info on the listing page
def MikesGrandStore_listing_parser(soup):
# Fields to be parsed
nm = 0 # *Total_Products (Should be Integer)
mktName = "MikesGrandStore" # 0 *Marketplace_Name
vendor = [] # 1 *Vendor y
rating_vendor = [] # 2 Vendor_Rating
success = [] # 3 Vendor_Successful_Transactions
name = [] # 4 *Product_Name y
CVE = [] # 5 Product_CVE_Classification (Common Vulnerabilities and Exposures) dont worry about this
MS = [] # 6 Product_MS_Classification (Microsoft Security) dont worry about this
category = [] # 7 Product_Category y
describe = [] # 8 Product_Description
views = [] # 9 Product_Number_Of_Views
reviews = [] # 10 Product_Number_Of_Reviews
rating_item = [] # 11 Product_Rating
addDate = [] # 12 Product_AddDate
BTC = [] # 13 Product_BTC_SellingPrice
USD = [] # 14 Product_USD_SellingPrice y
EURO = [] # 15 Product_EURO_SellingPrice
sold = [] # 16 Product_QuantitySold
qLeft = [] # 17 Product_QuantityLeft
shipFrom = [] # 18 Product_ShippedFrom
shipTo = [] # 19 Product_ShippedTo
image = [] # 20 Product_Image
image_vendor = [] # 21 Vendor_Image
href = [] # 22 Product_Links
listing_container = soup.find('div', {'class': 'products row row-small large-columns-3 medium-columns-3 small-columns-2 equalize-box'})
listing = listing_container.findAll('div', recursive=False)
# Populating the Number of Products
nm = len(listing)
for a in listing:
# Adding the url to the list of urls
link = a.find('a', {'class': 'woocommerce-LoopProduct-link woocommerce-loop-product__link'}).get('href')
href.append(link)
# Finding the Product
product = a.find('a', {'class': 'woocommerce-LoopProduct-link woocommerce-loop-product__link'}).text
product = cleanString(product)
product = product.strip()
name.append(product)
# Finding Prices
price = a.find('span', {'class': 'woocommerce-Price-currencySymbol'}).next_sibling.text
price = cleanNumbers(price)
price = price.strip()
USD.append(price)
# Finding the Vendor
vendor_name = "MikesGrandStore"
vendor.append(vendor_name)
image_vendor.append("-1")
# Finding the Category
cat = a.find('p', {'class': 'category uppercase is-smaller no-text-overflow product-cat op-7'}).text
cat = cat.replace("class:", "")
cat = cleanString(cat)
cat = cat.strip()
category.append(cat)
# Finding product rating
rating = a.find('strong', {'class': 'rating'}).text
rating = cleanNumbers(rating)
rating = rating.strip()
rating_item.append(rating)
# Searching for CVE and MS categories
cve = a.findAll(text=re.compile('CVE-\d{4}-\d{4}'))
if not cve:
cveValue = "-1"
else:
cee = " "
for idx in cve:
cee += (idx)
cee += " "
cee = cee.replace(',', ' ')
cee = cee.replace('\n', '')
cveValue = cee
CVE.append(cveValue)
ms = a.findAll(text=re.compile('MS\d{2}-\d{3}'))
if not ms:
MSValue = "-1"
else:
me = " "
for im in ms:
me += (im)
me += " "
me = me.replace(',', ' ')
me = me.replace('\n', '')
MSValue = me
MS.append(MSValue)
# Populate the final variable (this should be a list with all fields scraped)
return organizeProducts(mktName, nm, vendor, rating_vendor, success, name, CVE, MS, category, describe, views,
reviews, rating_item, addDate, BTC, USD, EURO, sold, qLeft, shipFrom, shipTo, href, image, image_vendor)
# called by the crawler to get description links on a listing page
# @param: beautifulsoup object that is using the correct html page (listing page)
# return: list of description links from a listing page
def MikesGrandStore_links_parser(soup):
# Returning all links that should be visited by the Crawler
href = []
container = soup.find('div', {"class": "products row row-small large-columns-3 medium-columns-3 small-columns-2 equalize-box"})
listing = container.findAll('div', recursive=False)
for a in listing:
bae = a.findAll('a', href=True)
# Adding the url to the list of urls
link = bae[0].get('href')
href.append(link)
return href