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338 lines
12 KiB
338 lines
12 KiB
__author__ = 'DarkWeb'
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# Here, we are importing the auxiliary functions to clean or convert data
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from MarketPlaces.Utilities.utilities import *
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# Here, we are importing BeautifulSoup to search through the HTML tree
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from bs4 import BeautifulSoup
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# parses description pages, so takes html pages of description pages using soup object, and parses it for info it needs
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# stores info it needs in different lists, these lists are returned after being organized
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# @param: soup object looking at html page of description page
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# return: 'row' that contains a variety of lists that each hold info on the description page
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def nemesis_description_parser(soup):
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# Fields to be parsed
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vendor = "-1" # 0 *Vendor_Name
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success = "-1" # 1 Vendor_Successful_Transactions
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rating_vendor = "-1" # 2 Vendor_Rating
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name = "-1" # 3 *Product_Name
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describe = "-1" # 4 Product_Description
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CVE = "-1" # 5 Product_CVE_Classification (Common Vulnerabilities and Exposures)
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MS = "-1" # 6 Product_MS_Classification (Microsoft Security)
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category = "-1" # 7 Product_Category
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views = "-1" # 8 Product_Number_Of_Views
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reviews = "-1" # 9 Product_Number_Of_Reviews
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rating_item = "-1" # 10 Product_Rating
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addDate = "-1" # 11 Product_AddedDate
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BTC = "-1" # 12 Product_BTC_SellingPrice
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USD = "-1" # 13 Product_USD_SellingPrice
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EURO = "-1" # 14 Product_EURO_SellingPrice
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sold = "-1" # 15 Product_QuantitySold
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left = "-1" # 16 Product_QuantityLeft
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shipFrom = "-1" # 17 Product_ShippedFrom
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shipTo = "-1" # 18 Product_ShippedTo
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image = "-1" # 19 Product_Image
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vendor_image = "-1" # 20 Vendor_Image
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# find vendor name
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vendor = soup.find('div', {'class': 'd-flex align-items-center mt-n1'}).find('a').text
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vendor = cleanString(vendor).strip()
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# find product name
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name = soup.find('div', {'class': 'd-flex w-100 mt-4'}).find('a').text
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name = name.replace(r'[^a-zA-Z0-9]', '').strip()
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# find product description
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describe = soup.find('div', {'class': 'card card-bordered rounded-1 my-6'})\
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.find('div', {'class': 'fs-5 text-gray-800'}).text
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if describe is not None:
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describe = cleanString(describe).strip()
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else:
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describe = soup.find('div', {'class': 'card card-bordered rounded-1 my-6'}) \
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.find('div', {'class': 'fs-5 text-gray-800 mt-5'}).text
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if describe is not None:
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describe = cleanString(describe).strip()
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else:
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describe = "-1"
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# find product category
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temp = soup.find('div', {'class': 'fs-7 py-1'}).findAll('a')
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category = temp[1].text
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if category is not None:
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category = category.strip()
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else:
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category='-1'
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print('inside category')
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# all in class
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temp = soup.find('div', {'class': 'ms-4'}).findAll('div')
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# number of reviews
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reviews = temp[1].text
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if reviews is not None:
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reviews = reviews.replace("Reviews: ","").strip()
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else:
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reviews='-1'
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print('in rev')
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# item rating out of 5
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rating_item = temp[0].text
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if rating_item is None:
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rating_item = rating_item.replace("Rating: ","").replace(" out of 5","").strip()
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else:
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rating_item='-1'
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# amount of item sold
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success = temp[2].text
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if success is not None:
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success = success.replace('Sales: ', '').strip()
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else:
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success='-1'
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print('success')
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# amount
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temp = soup.find('div', {'class': 'text-gray-800 fs-1 fw-bolder mt-6'}).text
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if 'USD' in temp:
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USD = temp.replace('USD', '').strip()
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elif 'EUR' in temp:
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EURO = temp.replace('EUR', '').strip()
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# Finding Vendor Image
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vendor_image = soup.find('div', {"class": 'col'}).find('img')
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if vendor_image is not None:
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vendor_image = vendor_image.get('src')
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vendor_image = vendor_image.split('base64,')[-1]
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else:
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vendor_image = "-1"
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# Finding Product Image
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image = soup.find('div', {"class": 'container p-0'}).find('img')
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if image is not None:
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image = image.get('src')
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image = image.split('base64,')[-1]
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else:
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image = "-1"
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# Searching for CVE and MS categories
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cve = soup.findAll(text=re.compile('CVE-\d{4}-\d{4}'))
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if cve:
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CVE = " "
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for idx in cve:
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CVE += (idx)
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CVE += " "
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CVE = CVE.replace(',', ' ')
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CVE = CVE.replace('\n', '')
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ms = soup.findAll(text=re.compile('MS\d{2}-\d{3}'))
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if ms:
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MS = " "
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for im in ms:
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MS += (im)
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MS += " "
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MS = MS.replace(',', ' ')
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MS = MS.replace('\n', '')
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# Populating the final variable (this should be a list with all fields scraped)
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row = (vendor, rating_vendor, success, name, describe, CVE, MS, category, views, reviews, rating_item, addDate,
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BTC, USD, EURO, sold, left, shipFrom, shipTo, image, vendor_image)
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# Sending the results
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return row
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# parses listing pages, so takes html pages of listing pages using soup object, and parses it for info it needs
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# stores info it needs in different lists, these lists are returned after being organized
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# @param: soup object looking at html page of listing page
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# return: 'row' that contains a variety of lists that each hold info on the listing page
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def nemesis_listing_parser(soup):
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# Fields to be parsed
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nm = 0 # *Total_Products (Should be Integer)
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mktName = "NemesisMarket" # 0 *Marketplace_Name
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vendor = [] # 1 *Vendor y
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rating_vendor = [] # 2 Vendor_Rating
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success = [] # 3 Vendor_Successful_Transactions
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name = [] # 4 *Product_Name y
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CVE = [] # 5 Product_CVE_Classification (Common Vulnerabilities and Exposures) dont worry about this
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MS = [] # 6 Product_MS_Classification (Microsoft Security) dont worry about this
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category = [] # 7 Product_Category y
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describe = [] # 8 Product_Description
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views = [] # 9 Product_Number_Of_Views
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reviews = [] # 10 Product_Number_Of_Reviews
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rating_item = [] # 11 Product_Rating
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addDate = [] # 12 Product_AddDate
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BTC = [] # 13 Product_BTC_SellingPrice
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USD = [] # 14 Product_USD_SellingPrice y
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EURO = [] # 15 Product_EURO_SellingPrice
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sold = [] # 16 Product_QuantitySold
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qLeft = [] # 17 Product_QuantityLeft
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shipFrom = [] # 18 Product_ShippedFrom
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shipTo = [] # 19 Product_ShippedTo
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image = [] # 20 Product_Image
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image_vendor = [] # 21 Vendor_Image
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href = [] # 22 Product_Links
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cat = soup.find('span', {"class": "text-gray-700 fw-bold fs-2"}).text
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cat = cleanString(cat).strip()
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listing = soup.find('div', {"class": 'row g-5 g-xl-5'}).findAll('div', {"class": 'col-sm-6 col-md-4 col-lg-3 col-xxl-2'})
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# Populating the Number of Products
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nm = len(listing)
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for a in listing:
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category.append(cat)
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# Adding the url to the list of urls
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link = a.find('a').get('href')
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link = cleanLink(link)
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href.append(link)
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# Finding the Product name
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product = a.find('div', {"class": 'pt-3 pb-4 px-4'}).find('a').text.strip()
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# product = product.replace(r'[^a-zA-Z0-9]', '').strip()
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name.append(product)
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# Finding Product Image
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product_image = a.find('img')
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if product_image is not None:
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product_image = product_image.get('src')
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product_image = product_image.split('base64,')[-1]
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image.append(product_image)
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else:
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image.append("-1")
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# Finding Prices
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price = a.find('div', {"class": "fs-4 text-gray-800 fw-bolder mt-3"}).text
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price = price.strip()
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if 'USD' in price:
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price = price.replace('USD', '')
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price = price.strip()
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USD.append(price)
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EURO.append("-1")
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elif 'EUR' in price:
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price = price.replace('EUR', '')
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price = price.strip()
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EURO.append(price)
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USD.append("-1")
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else:
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USD.append("-1")
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EURO.append('-1')
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# Finding Item Rating
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temp = a.find('div', {"class": "d-flex flex-column"}).findAll('span', {"class": "badge badge-sm badge-light-dark text-gray-800 rounded-1"})
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rating = temp[0].text.strip()
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if rating is not None:
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rating_item.append(rating)
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else:
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rating_item.append('-1')
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print('rating')
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# find number of reviews
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rev = temp[1].text.strip()
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if rev is not None:
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reviews.append(rev)
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else:
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reviews.append('-1')
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print('reviews')
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# sales
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sales = temp[2].text.strip()
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if sales is not None:
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success.append(sales)
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else:
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success.append('-1')
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print('success')
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# Finding the Vendor
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vendor_name = a.find('div', {"class": "d-flex flex-column"}).find('a').text
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vendor_name = vendor_name.replace(",", "")
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vendor_name = vendor_name.strip()
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vendor.append(vendor_name)
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# vendor image
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vendor_image = a.find('div', {"class": 'd-flex align-items-center'}).find('a').find('img')
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if vendor_image is not None:
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vendor_image = vendor_image.get('src')
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vendor_image = vendor_image.split('base64,')[-1]
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image_vendor.append(vendor_image)
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else:
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image_vendor.append("-1")
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# item description
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description = a.find('div', {"class": 'fs-5 text-gray-800 mt-2'}).text
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if description is not None:
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description = description.replace('\n', ' ')
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describe.append(description)
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else:
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describe.append('-1')
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print('describe')
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# Searching for CVE and MS categories
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cve = a.findAll(text=re.compile('CVE-\d{4}-\d{4}'))
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if not cve:
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cveValue = "-1"
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else:
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cee = " "
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for idx in cve:
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cee += (idx)
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cee += " "
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cee = cee.replace(',', ' ')
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cee = cee.replace('\n', '')
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cveValue = cee
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CVE.append(cveValue)
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ms = a.findAll(text=re.compile('MS\d{2}-\d{3}'))
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if not ms:
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MSValue = "-1"
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else:
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me = " "
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for im in ms:
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me += (im)
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me += " "
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me = me.replace(',', ' ')
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me = me.replace('\n', '')
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MSValue = me
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MS.append(MSValue)
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val="-1"
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sold.append(val)
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views.append(val)
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addDate.append(val)
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BTC.append(val)
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qLeft.append(val)
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shipFrom.append(val)
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shipTo.append(val)
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rating_vendor.append(val)
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# Populate the final variable (this should be a list with all fields scraped)
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return organizeProducts(mktName, nm, vendor, rating_vendor, success, name, CVE, MS, category, describe, views,
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reviews, rating_item, addDate, BTC, USD, EURO, sold, qLeft, shipFrom, shipTo, href, image, image_vendor)
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# called by the crawler to get description links on a listing page
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# @param: beautifulsoup object that is using the correct html page (listing page)
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# return: list of description links from a listing page
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def nemesis_links_parser(soup):
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# Returning all links that should be visited by the Crawler
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href = []
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listing = soup.findAll('div', {"class": "col-sm-6 col-md-4 col-lg-3 col-xxl-2"})
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for a in listing:
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bae = a.findAll('a', href=True)
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# Adding the url to the list of urls
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link = bae[0].get('href')
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href.append(link)
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return href
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