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273 lines
10 KiB
273 lines
10 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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import re
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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 atlas_description_parser(soup):
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# Fields to be parsed
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vendor = "-1" # 0 *Vendor_Name y
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success = "-1" # 1 Vendor_Successful_Transactions n
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rating_vendor = "-1" # 2 Vendor_Rating y
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name = "-1" # 3 *Product_Name y
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describe = "-1" # 4 Product_Description y
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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 y
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views = "-1" # 8 Product_Number_Of_Views y
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reviews = "-1" # 9 Product_Number_Of_Reviews n
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rating_item = "-1" # 10 Product_Rating n
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addDate = "-1" # 11 Product_AddedDate y
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BTC = "-1" # 12 Product_BTC_SellingPrice y
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USD = "-1" # 13 Product_USD_SellingPrice y
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EURO = "-1" # 14 Product_EURO_SellingPrice n
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sold = "-1" # 15 Product_QuantitySold n
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left = "-1" # 16 Product_QuantityLeft n
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shipFrom = "-1" # 17 Product_ShippedFrom n
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shipTo = "-1" # 18 Product_ShippedTo n
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image = "-1" # 19 Product_Image n
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vendor_image = "-1" # 20 Vendor_Image n
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# Finding Vendor
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vendor = soup.find('div', {'class', 'flex items-center space-x-3'})
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vendor = vendor.find('div', {'class', 'flex items-center space-x-3'}).find('a').text
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vendor = cleanString(vendor).strip()
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# sold
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try:
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sell = soup.find('p', {'class': 'pl-3 text-sm font-semibold text-slate-700 dark:text-slate-400'}).text
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reg = r'product sold (.+)'
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sell = re.search(reg, sell)
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if sell:
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sell = sell.group(1)
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sell = sell.replace('product sold ', '').replace('time', '').replace('s', '')
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sell = cleanString(sell.strip())
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except:
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sell = '-1'
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sold = sell
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# successful transaction
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suc = soup.find('div', {'class': 'mt-4 grid w-full grid-cols-6 gap-4 rounded border p-3 shadow-sm dark:border-slate-700'}).find_all('div')
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suc = suc[2].find_all('p')
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suc = suc[1].text
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success = cleanString(suc.strip())
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# Finding Vendor Rating (bug in their system shows standard rating)
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rating_vendor = '-1'
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rating_vendor = cleanNumbers(rating_vendor).strip()
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# Finding Product Name
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name = soup.find('h2').text
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name = cleanString(name).strip()
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# Finding Product description
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try:
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describe = soup.find('div', {'class': 'prose mb-12 mt-5 break-words dark:prose-invert'}).text
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describe = cleanString(describe).strip()
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except:
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describe = '-1'
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# Finding category
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try:
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div_category = soup.find('ol', {'class': "leading-node flex items-center gap-1 text-sm font-medium text-gray-600 dark:text-gray-300"}).find_all('li', class_=lambda x: x is None)
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category = div_category[1].find('a').text
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except:
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category = '-1'
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category = cleanString(category).strip()
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# Product rating - check
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rating = '-1'
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rating_item = cleanString(rating).strip()
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# Finding BTC and USD/GOLD
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BTC = '-1'
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usd = soup.find('h1', {'class': 'text-2xl font-bold leading-none tracking-tight text-slate-800 dark:text-slate-300'}).text
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if '$' in usd:
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usd = usd.replace('$', '')
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usd = cleanString(usd).strip()
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USD = usd
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try:
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image = soup.find('div', {'class', 'w-full flex-1 flex-shrink-0'}).find('img').get('src').split('base64,')[-1]
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except:
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image = '-1'
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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 atlas_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 = "Atlas" # 0 *Marketplace_Name y
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vendor = [] # 1 *Vendor y
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rating_vendor = [] # 2 Vendor_Rating y
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success = [] # 3 Vendor_Successful_Transactions n
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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 n
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views = [] # 9 Product_Number_Of_Views y
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reviews = [] # 10 Product_Number_Of_Reviews n
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rating_item = [] # 11 Product_Rating n
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addDate = [] # 12 Product_AddDate y
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BTC = [] # 13 Product_BTC_SellingPrice y
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USD = [] # 14 Product_USD_SellingPrice y
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EURO = [] # 15 Product_EURO_SellingPrice n
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sold = [] # 16 Product_QuantitySold n
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qLeft = [] # 17 Product_QuantityLeft n
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shipFrom = [] # 18 Product_ShippedFrom n
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shipTo = [] # 19 Product_ShippedTo n
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image = [] # 20 Product_Image n
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image_vendor = [] # 21 Vendor_Image n
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href = [] # 22 Product_Links y
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listings = soup.find('div', {'class': 'grid h-fit grid-cols-1 gap-x-8 gap-y-10 lg:grid-cols-4 md:grid-cols-3'}).findAll('div', class_=lambda x: x is None)
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temp = soup.find('h1', {'class': 'text-4xl font-bold tracking-tight text-gray-900 dark:text-slate-200'}).text
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reg = r'results in (.+)'
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cat = re.search(reg, temp)
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if cat:
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cat = cat.group(1)
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cat = cat.replace('results in ', '')
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# Populating the Number of Products
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nm = len(listings)
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for listing in listings:
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# Finding vendor name
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vendor_name = listing.find('p', {'class': 'text-sm font-medium leading-none dark:text-slate-100'}).text
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vendor_name = vendor_name.strip()
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vendor.append(vendor_name)
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# Finding the vendor rating
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vendor_level = listing.find('p', {'class': "flex space-x-1 text-xs text-gray-700 dark:text-slate-500"}).text
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vendor_level = vendor_level.strip().split(' ')
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vendor_level = cleanNumbers(vendor_level[-1])
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rating_vendor.append(vendor_level)
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# Finding the product name
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product_name = listing.find('p', {'class':'my-1 line-clamp-2 text-sm text-slate-700 group-hover:underline dark:text-slate-300'}).text
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product_name = cleanString(product_name).strip()
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name.append(product_name)
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# Searching for CVE and MS categories
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cve = listing.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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cee = cee.replace('\t', '')
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cveValue = cee
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CVE.append(cveValue)
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ms = listing.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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# Finding the category
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category_text = cleanString(cat).strip()
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category.append(category_text)
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# Finding the hrefs
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description_link = listing.find('a', {'class': 'group relative block'})['href']
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href.append(description_link)
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# Finding the views - check
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views_text = '-1'
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views.append(views_text)
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# Finding the date added
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date = '-1'
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# date = datetime.strptime(date, "%d-%m-%Y")
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addDate.append(date)
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# EURO
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EURO.append('-1')
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# Finding the BTC and USD/GOLD
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btc_price = '-1'
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BTC.append(btc_price)
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try:
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money = listing.find('p', {'class': 'mt-2 text-lg font-bold tracking-wider text-slate-900 dark:text-slate-200'}).text
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if '$' in money:
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usd_price = money.strip().replace('$', '')
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usd_price = cleanString(usd_price).strip()
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except:
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usd_price = '-1'
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USD.append(usd_price)
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sold.append('-1')
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qLeft.append('-1')
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shipTo.append('-1')
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shipf = '-1'
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shipFrom.append(shipf)
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try:
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temp = listing.find('div', {'class', 'overflow-hidden rounded-lg'}).find('img').get('src').split('base64,')[-1]
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except:
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temp = '-1'
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image.append(temp)
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image_vendor.append('-1')
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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,
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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 atlas_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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listings = soup.find('div', {'class': 'grid h-fit grid-cols-1 gap-x-8 gap-y-10 lg:grid-cols-4 md:grid-cols-3'}).findAll('div')
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for listing in listings:
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# Adding the url to the list of urls
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try:
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description_link = listing.find('a', {'class': 'group relative block'}).get('href')
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href.append(description_link)
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except:
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pass
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return href
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