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- __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 quest_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('div', class_='card-header bg-dark text-white rounded-0 text-center').text
- name = cleanString(name).strip()
-
- # USD Price
- USD = soup.find('small', text='Product Price:').find_next('small').text.replace('$', '').strip()
-
- # Product Description
- describe = soup.find('textarea').text
- describe = cleanString(describe).strip()
-
- # Finding Product Image
- image = soup.find('img', {'class': 'img-fluid'})
- image = image.get('src').split('base64,')[-1]
-
- # Finding Vendor Image
- vendor_image = soup.select_one('.card-body.bg-mgray.css-selector.shadow img')
- vendor_image = vendor_image.get('src').split('base64,')[-1]
-
- # Finding Successful Transactions
- success = soup.find('strong', text='Total Sales:').parent.text
- success = cleanNumbers(success).strip()
-
- # Finding Vendor Rating
- temp = soup.find('strong', text='Rating:').parent
- rating_vendor = len(temp.findAll('i', {"class": "fas fa-star"}))
- half_stars = len(temp.findAll('i', {'class': "fas fa-star-half-alt"}))
- if half_stars > 0:
- rating_vendor += 0.5
-
- # Finding Item Rating
- temp = soup.find('small', text='Average Product Score:').find_next('small')
- rating_item = len(temp.findAll('i', {"class": "fas fa-star"}))
- half_stars = len(temp.findAll('i', {'class': "fas fa-star-half-alt"}))
- if half_stars > 0:
- rating_item += 0.5
-
- # 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 quest_listing_parser(soup):
-
- # Fields to be parsed
- nm = 0 # *Total_Products (Should be Integer)
- mktName = "quest" # 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
-
- # Extract all product listings
- listing = soup.findAll('div', class_='col-md-2 my-md-0 col-12')
- # Populating the Number of Products
- nm = len(listing)
-
- for a in listing:
-
- # Extracting Product URL & Name
- product_link_tags = a.find_all('a', class_='badge-info')
- if product_link_tags:
- # Using the first tag as default
- product_link_tag = product_link_tags[0]
- href.append(product_link_tag['href'])
- name.append(cleanString(product_link_tag.text).strip())
-
- # Extracting Product Image
- img_tag = a.find('img')
- if img_tag:
- image_data = img_tag['src'].split('base64,')[-1]
- image.append(image_data)
-
- # Extracting Vendor Name
- vendor_tag = a.find('a', class_='badge-dark')
- if vendor_tag:
- vendor.append(cleanString(vendor_tag.text.replace('👤', '')).strip())
-
- # Extracting Product Price in USD
- price_tag = a.find('a', class_='text')
- if price_tag:
- USD.append(price_tag.text.replace("$", "").strip())
-
- category_tag = soup.find('span', class_= 'btn btn-sm btn-outline-mgray active border-info')
- if category_tag:
- category.append(cleanString(category_tag.text).strip())
-
- # 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 quest_links_parser(soup):
- # Returning all product links
-
- href = []
-
- # Locate all divs with class 'row'
- row_divs = soup.findAll('div', class_='row')
-
- for row_div in row_divs:
- # Locate all product divs within the current 'row' div
- product_divs = row_div.findAll('div', class_='col-md-2 my-md-0 col-12')
-
- for product_div in product_divs:
- # Locate the anchor tag containing the product link within each product div
- product_link_tag = product_div.find('a', class_='badge-info')
-
- if product_link_tag and product_link_tag.has_attr('href'):
- href.append(product_link_tag['href'])
-
- return href
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