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269 lines
11 KiB
269 lines
11 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 metaversemarket_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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# Finding Product Name
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name = soup.find('div', {'class': "panel-heading"}).text
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name = cleanString(name.strip())
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temp = soup.findAll('div', {'class': "col-xs-12 col-sm-6 mt-5"})
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# Finding Product Image
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image = temp[0].find('img')
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image = image.get('src')
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image = image.split('base64,')[-1]
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# Finding Vendor
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temp = temp[1].findAll('span')
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vendor = temp[1].find('b').text
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vendor = cleanString(vendor.strip())
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# Finding Vendor Rating
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pos = soup.find('span', {'class': "badge bg-success fs-12px"}).text
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pos = int(cleanNumbers(pos).strip())
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neg = soup.find('span', {'class': "badge bg-danger fs-12px"}).text
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neg = int(cleanNumbers(neg).strip())
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total = pos + neg
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if total > 0:
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rating_vendor = str(pos / total)
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# Finding Prices
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USD = soup.find('h3', {'class': "mb-2"}).text
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USD = cleanNumbers(USD).strip()
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# Finding the Product Category
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temp = soup.select('div[class="mt-2"]')[1].text
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temp = temp.replace("Category:", "")
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category = temp.strip()
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# Finding Number of Views
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views = soup.find('button', {"class": "btn btn-secondary text-center w-33 fw-bold"}).text
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views = views.strip()
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# Finding the Product Quantity Available
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temp = soup.find('button', {"class": "btn btn-success text-center w-33 fw-bold"}).text
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temp = temp.split("/")
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left = temp[1].strip()
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# Finding Number Sold
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sold = temp[0].strip()
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# Finding Shipment Information (Origin)
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temp = soup.find('div', {'class': "alert alert-info"}).text
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temp = temp.split("to")
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shipFrom = temp[0].replace("Shipping from ", "").strip()
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# Finding Shipment Information (Destination)
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shipTo = temp[1].split("for")
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shipTo = shipTo[0].strip()
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# Finding the Product description
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describe = soup.find('p', {'class': "card-text"}).text
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describe = cleanString(describe.strip())
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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 metaversemarket_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 = "MetaVerseMarket" # 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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listing = soup.findAll('div', {"class": "col-12 col-sm-4 col-xl-3 product_item_col p-1"})
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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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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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link = cleanLink(link)
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href.append(link)
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# Finding the Product
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product = bae[1].find('span', {"class": "text-primary"}).text
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name.append(cleanString(product.strip()))
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# Finding Prices
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price = a.find('strong').text
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USD.append(cleanNumbers(price).strip())
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# Finding the Vendor
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temp = a.find('div', {'class': "mt-1 fs-12px"})
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temp = temp.findAll('span')
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vendor_name = temp[1].find('b').text
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vendor.append(cleanString(vendor_name.strip()))
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# Finding the Category
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cat = a.select_one('div[class="fs-12px"]')
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cat = cat.findAll('span')[1].text
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cat = cat.strip()
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category.append(cat)
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ul = a.find('ul', {"class": "product-actions"})
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# Finding Number Sold and Quantity Left
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temp = ul.find('span', {'class': "badge bg-success"}).text
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temp = temp.split("/")
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num = temp[0]
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num = num.replace('k', '000')
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sold.append(cleanNumbers(num).strip())
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quant = temp[1]
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quant = quant.replace('k', '000')
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qLeft.append(cleanNumbers(quant).strip())
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# Finding Descrption
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# description = a.find('p', {'class': "alert alert-light text-ssbold p-1"}).text
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# description = description.replace("\n", " ")
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# description = description.strip()
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# describe.append(cleanString(description))
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# Finding Number of Views
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view = ul.find('span', {'class': "badge bg-primary"}).text
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view = view.replace('.', '')
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view = view.replace('K', '000')
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views.append(view.strip())
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# Find where ships from
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ships = a.find('div', {'class': "alert alert-info item_alert fs-12px p-1"})
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ships = ships.findAll('b')
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sFrom = ships[0].text.strip()
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shipFrom.append(sFrom)
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# Find where it ships to
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sTo = ships[1].text.strip()
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shipTo.append(sTo)
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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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# 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 metaversemarket_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-12 col-sm-4 col-xl-3 product_item_col p-1"})
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for a in listing:
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bae = a.find('a', href=True)
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link = bae['href']
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href.append(link)
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return href
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