__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
import re
#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 nexus_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) dont worry about that much
MS = "-1" # 6 Product_MS_Classification (Microsoft Security) dont worry about that much
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
#finding the name of the product
name_of_product = soup.find("h1", {"class": "product_title entry-title"}).text
name = cleanString(name_of_product.strip())
# finding the description of the product
description_div = soup.find("div", {"class": "woocommerce-product-details__short-description"})
if description_div is None:
describe = "-1"
else:
describe = cleanString(description_div.text.strip())
#find the category of the product
name_of_category = soup.find("span", {"class": "posted_in"}).find("a").text
category = cleanString(name_of_category.strip())
#finding the name of the vendor
name_of_vendor = soup.find("div", {"class": "dokan-vendor-name"}).find("h5").text
vendor = cleanString(name_of_vendor)
#finding the vendor's rating
vendorRating = soup.find("div", {"class": "dokan-vendor-rating"}).find("p").text
rating_vendor = cleanString(vendorRating)
#everything else gets a -1 because they are not found
# 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)
# 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 nexus_listing_parser(soup):
# Fields to be parsed
nm = 0 # *Total_Products (Should be Integer)
mktName = "Nexus" # 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)
MS = [] # 6 Product_MS_Classification (Microsoft Security)
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
href = [] # 20 Product_Links
products_list = soup.find_all('li')
nm = 0
for product in products_list:
try:
# Finding the name of the product
name_of_product = product.find("h2", {"class": "woocommerce-loop-product__title"}).find("a").text
name_of_product_cleaned = cleanString(name_of_product.strip())
# print(name_of_product_cleaned)
name.append(name_of_product_cleaned)
#finding the URL
try:
url = product.find("a", class_="woocommerce-loop-product__link").get('href')
href.append(url)
except AttributeError as e:
print("I can't find the link")
raise e
#everything else appends a -1
rating_vendor.append("-1")
USD.append("-1")
vendor.append("-1")
success.append("-1")
CVE.append("-1")
MS.append("-1")
category.append("-1")
describe.append("-1")
views.append("-1")
reviews.append("-1")
addDate.append("-1")
BTC.append("-1")
EURO.append("-1")
sold.append("-1")
qLeft.append("-1")
shipFrom.append("-1")
shipTo.append("-1")
# print("Done! moving onto the next product!")
# print(len(shipTo))
nm += 1
except AttributeError as e:
print("I'm somewhere I don't belong. I'm going to leave")
continue
# Populate the final variable (this should be a list with all fields scraped)
return organizeProducts(
marketplace = "Nexus",
nm = nm,
vendor = vendor,
rating_vendor = rating_vendor,
success_vendor = success,
nombre = name,
CVE = CVE,
MS = MS,
category = category,
describe = describe,
views = views,
reviews = reviews,
rating_item = rating_item,
addDate = addDate,
BTC = BTC,
USD = USD,
EURO = EURO,
sold = sold,
qLeft = qLeft,
shipFrom = shipFrom,
shipTo = shipTo,
href = href
)
#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 nexus_links_parser(soup):
# Returning all links that should be visited by the Crawler
href = []
# Using a shorter, but still unique, class name
listing = soup.find_all("a", class_="woocommerce-loop-product__link")
for a in listing:
link = a.get('href')
if link: # Checks if 'href' attribute is not None
href.append(link)
return href