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334 lines
12 KiB
334 lines
12 KiB
__author__ = 'chris'
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import re
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import traceback
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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 for test run
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import glob
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import os
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import codecs
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import shutil
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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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def Robinhood_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('h1').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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# Finding description
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desc = ''
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tab = soup.find('div', {"id": "tab-description"})
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if tab is not None:
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for p in tab.findAll('p'):
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desc += p.text
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if desc == '':
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short = soup.find('div', {"class": "woocommerce-product-details__short-description"})
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if short is not None:
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desc = short.text
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describe = cleanString(desc.strip())
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# Finding Product Image
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image = soup.find('div', {'class': 'woocommerce-product-gallery__wrapper'}).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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vendor = soup.find('a', {'class': 'wcfm_dashboard_item_title'}).text
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vendor = vendor.replace(",", "")
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vendor = vendor.replace("Sold by:", "")
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vendor = vendor.strip()
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# Finding Vendor Image
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vendor_image = soup.find('div', {'class': 'wcfmmp_sold_by_container_left'}).find('img')
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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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# Finding Category
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catSpan = soup.find('span', {'class': 'posted_in'})
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category = catSpan.find('a').text
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# Finding USD
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priceText = soup.find('p', {'class': 'price'}).text
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USD = str(priceText).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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# This is the method to parse the Listing Pages
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def Robinhood_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 = "RobinhoodMarket" # 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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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.find('ul', {"class": "products columns-4"})
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items = listing.findAll('li')
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# Populating the Number of Products
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nm = len(items)
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for card in items:
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# Finding Category
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cat = soup.find("h1").text
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cat = cat.replace('\n', ' ')
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cat = cat.replace(",", "")
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cat = cat.strip()
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category.append(cat)
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bae = card.findAll('a')
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# Adding the url to the list of urls
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link = card.find('a').get('href')
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href.append(link)
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# Finding Product Name
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product = card.find("h2").text
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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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# Finding Product Image
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product_image = card.find('a').find('img')
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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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info = card.find('div', {'class': 'wcfmmp_sold_by_container'})
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# Finding Vendor
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vendor_name = info.find('a', {'class', 'wcfm_dashboard_item_title'}).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 Vendor Image
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vendor_icon = info.find('img', {'class', 'wcfmmp_sold_by_logo'})
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vendor_icon = vendor_icon.get('src')
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vendor_icon = vendor_icon.split('base64,')[-1]
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image_vendor.append(vendor_icon)
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# Finding USD
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span = card.find('span', {'class': 'price'})
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if span is not None:
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bdi = span.find('bdi')
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usdText = bdi.find('span').next_sibling
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usdVal = usdText.text
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else:
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usdVal = "0"
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USD.append(usdVal)
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# Searching for CVE and MS categories
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cve = card.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 = card.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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#print(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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# 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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def Robinhood_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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#list = soup.findAll('div', {"class": "woocommerce columns-4"})
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listing = soup.find('ul', {"class": "products columns-4"}).findAll('li')
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for item in listing:
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link = item.find('a')['href']
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href.append(link)
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return href
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if __name__ == '__main__':
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nError = 0
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marketPlace = 'RobinhoodMarket'
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lines = [] # listing pages
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lns = [] # description pages
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detPage = {}
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'''
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# reading description pages
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count = 0
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for fileDescription in glob.glob(os.path.join("..\\" + marketPlace + "\\HTML_Pages\\08082023\\Description", '*.html')):
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count += 1
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lns.append(fileDescription)
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# if count > 5:
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# break
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for index, line2 in enumerate(lns):
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print("Reading description folder of '" + marketPlace + "', file '" + os.path.basename(line2) + "', index= " + str(index + 1) + " ... " + str(len(lns)))
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try:
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html = codecs.open(line2.strip('\n'), encoding='utf8')
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soup = BeautifulSoup(html, "html.parser")
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html.close()
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except:
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try:
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html = open(line2.strip('\n'))
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soup = BeautifulSoup(html, "html.parser")
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html.close()
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except:
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nError += 1
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print("There was a problem to read the file " + line2 + " in the Description section!")
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# if createLog:
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# logFile.write(str(nError) + ". There was a problem to read the file " + line2 + " in the Description section.\n")
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continue
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try:
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print(Robinhood_description_parser(soup))
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except:
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traceback.print_exc()
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print("There was a problem to parse the file " + line2 + " in the Description section!")
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'''
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# reading listing pages
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count = 0
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for fileListing in glob.glob(os.path.join("..\\" + marketPlace + "\\HTML_Pages\\08082023\\Listing", '*.html')):
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count += 1
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lines.append(fileListing)
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#if count > 1:
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# break
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for index, line1 in enumerate(lines):
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print("Reading listing folder of '" + marketPlace + "', file '" + os.path.basename(line1) + "', index= " + str(index + 1) + " ... " + str(len(lines)))
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readError = False
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try:
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html = codecs.open(line1.strip('\n'), encoding='utf8')
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soup = BeautifulSoup(html, "html.parser")
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html.close()
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except:
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try:
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html = open(line1.strip('\n'))
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soup = BeautifulSoup(html, "html.parser")
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html.close()
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except:
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print("There was a problem to read the file " + line1 + " in the Listing section!")
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readError = True
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if not readError:
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parseError = False
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try:
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test = Robinhood_listing_parser(soup)
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print(Robinhood_listing_parser(soup))
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except:
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traceback.print_exc()
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print("There was a problem to parse the file " + line1 + " in the listing section!")
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parseError = True
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print("DONE")
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