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@ -7,9 +7,11 @@ from MarketPlaces.Utilities.utilities import * |
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from bs4 import BeautifulSoup |
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# This is the method to parse the Description Pages (one page to each Product in the Listing Pages) |
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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 quest_description_parser(soup): |
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# Fields to be parsed |
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vendor = "-1" # 0 *Vendor_Name |
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@ -31,111 +33,50 @@ def quest_description_parser(soup): |
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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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row = soup.find_all('div', {'class': "row"}) |
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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 = row[1].text |
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name = name.replace('\n', ' ') |
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name = name.replace(",", "") |
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name = name.strip() |
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small = row[3].find_all('small') |
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# Finding Vendor |
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vendor = small[0].text |
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vendor = vendor.replace("Vendor:", "") |
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vendor = vendor.replace(",", "") |
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vendor = vendor.strip() |
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# Finding Vendor Rating |
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full_stars = small[2].find_all('i', {'class': "fas fa-star"}) |
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half_star = small[2].find('i', {'class': "fas fa-star-half-alt"}) |
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rating_vendor = len(full_stars) + (0.5 if half_star is not None else 0) |
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# Finding Successful Transactions |
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success = small[4].text |
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success = success.replace("Total Sales:", "") |
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success = success.strip() |
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small = row[2].find('p', {'class': "text-left"}).find_all('small') |
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# Finding Prices |
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USD = small[1].text |
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USD = USD.replace("$", "") |
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USD = USD.strip() |
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shipping_info = row[2].find('p', {'class': "text-left"}).find('span').text.strip() |
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if "Digital" not in shipping_info: |
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shipping_info = shipping_info.split(" ") |
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# Finding Shipment Information (Origin) |
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shipFrom = shipping_info[0].strip() |
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# Finding Shipment Information (Destination) |
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shipTo = shipping_info[1].strip() |
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textarea = row[2].find_all('textarea') |
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# Finding the Product description |
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describe = textarea[0].text |
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describe = describe.replace("\n", " ") |
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describe = describe.replace("\r", " ") |
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describe = describe.strip() |
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''' |
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# Finding the Number of Product Reviews |
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tag = soup.findAll(text=re.compile('Reviews')) |
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for index in tag: |
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reviews = index |
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par = reviews.find('(') |
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if par >=0: |
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reviews = reviews.replace("Reviews (","") |
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reviews = reviews.replace(")","") |
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reviews = reviews.split(",") |
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review = str(abs(int(reviews[0])) + abs(int(reviews[1]))) |
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else : |
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review = "-1" |
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''' |
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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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name = soup.find('div', class_='card-header bg-dark text-white rounded-0 text-center').text.strip() |
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# USD Price |
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USD = soup.find('small', text='Product Price:').find_next('small').text.strip().replace('$', '') |
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# Product Description |
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describe = soup.find('textarea').text.strip() |
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# Finding Product Image |
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image = soup.find('img', {'class': 'img-fluid'}) |
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image = image.get('src').split('base64,')[-1] |
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# Finding Vendor Image |
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vendor_image = soup.select_one('.card-body.bg-mgray.css-selector.shadow img') |
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vendor_image = vendor_image.get('src').split('base64,')[-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) |
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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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# This is the method to parse the Listing Pages |
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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 quest_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 = "Quest" # 0 *Marketplace_Name |
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nm = 0 # *Total_Products (Should be Integer) |
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mktName = "quest" # 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) |
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MS = [] # 6 Product_MS_Classification (Microsoft Security) |
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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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@ -146,87 +87,76 @@ def quest_listing_parser(soup): |
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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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qLeft = [] # 17 Product_QuantityLeft |
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shipFrom = [] # 18 Product_ShippedFrom |
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shipTo = [] # 19 Product_ShippedTo |
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href = [] # 20 Product_Links |
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# Finding category of listing page |
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cat = soup.find('span', {'class': "btn btn-sm btn-outline-mgray active border-info"}).text |
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cat = cat.replace("Digital -", "") |
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cat = cat.strip() |
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listing = soup.find_all('div', {"class": "col-md-2 my-md-0 col-12"}) |
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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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# Extract all product listings |
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listing = soup.findAll('div', class_='col-md-2 my-md-0 col-12') |
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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.find_all('a', href=True) |
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# Adding the category |
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category.append(cat) |
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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 Vendor |
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vendor_name = bae[2].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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# Finding the Product |
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product = bae[1].find('img').get('alt') |
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product = product.replace('\n', ' ') |
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product = product.replace(",", "") |
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product = product.strip() |
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name.append(product) |
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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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# Extracting Product URL & Name |
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product_link_tags = a.find_all('a', class_='badge-info') |
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if product_link_tags: |
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# Using the first tag as default |
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product_link_tag = product_link_tags[0] |
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href.append(product_link_tag['href']) |
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name.append(product_link_tag.text.strip()) |
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# Extracting Product Image |
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img_tag = a.find('img') |
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if img_tag: |
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image_data = img_tag['src'].split('base64,')[-1] |
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image.append(image_data) |
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# Extracting Vendor Name |
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vendor_tag = a.find('a', class_='badge-dark') |
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if vendor_tag: |
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vendor.append(vendor_tag.text.replace('👤', '').strip()) |
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# Extracting Product Price in USD |
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price_tag = a.find('a', class_='text') |
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if price_tag: |
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USD.append(price_tag.text.replace("$", "").strip()) |
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category_tag = soup.find('span', class_= 'btn btn-sm btn-outline-mgray active border-info') |
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if category_tag: |
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category.append(category_tag.text.strip()) |
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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) |
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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 quest_links_parser(soup): |
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# Returning all product links |
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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-md-2 my-md-0 col-12"}) |
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# Locate all divs with class 'row' |
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row_divs = soup.findAll('div', class_='row') |
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for row_div in row_divs: |
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# Locate all product divs within the current 'row' div |
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product_divs = row_div.findAll('div', class_='col-md-2 my-md-0 col-12') |
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for product_div in product_divs: |
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# Locate the anchor tag containing the product link within each product div |
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product_link_tag = product_div.find('a', class_='badge-info') |
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for div in listing: |
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if product_link_tag and product_link_tag.has_attr('href'): |
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href.append(product_link_tag['href']) |
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link = div.find('a')["href"] |
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href.append(link) |
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print(len(href)) |
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return href |
unknown
1 year ago