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226 lines
9.5 KiB
226 lines
9.5 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, ResultSet, Tag
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def apocalypse_description_parser(soup: Tag):
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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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content: Tag = soup.find("div", {'id': "article_page"})
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product_name = content.find("p", {"class": "list-group-item text-center mb-0 box"}).text
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name = cleanString(product_name.strip())
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product_description = content.find("pre").text
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describe = cleanString(product_description.strip())
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# Finding Product Image
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image = soup.find('div', {'class': 'col-md-7 text-center'}).find('img')
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image = image.get('src').split('base64,')[-1]
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product_reviews_list: Tag = content.find("table", {"class": "table product_reviews"}) \
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.find_all("li")
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review = str(len(product_reviews_list))
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product_category = content.find("a", {"class": "badge badge-danger"}).text
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category = cleanString(product_category.strip())
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product_ships_from = content.find("span", {"class": "badge badge-info"}).text
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shipFrom = cleanString(product_ships_from.strip())
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product_success_badge: ResultSet[Tag] = content.find_all("span", {"class": "badge badge-success"})
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product_ships_to = product_success_badge[1].text
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shipTo = cleanString(product_ships_to.strip())
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product_supply = content.find("span", {"class": "badge badge-warning"}).text
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left = cleanString(product_supply.strip())
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product_primary_badge: ResultSet[Tag] = content.find_all("span", {"class": "badge badge-primary"})
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# Product vendor comes in the form of "@ vendor_name"
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product_vendor = product_primary_badge[0].text.replace("@", "")
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vendor = cleanString(product_vendor.strip())
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sold = cleanString(product_primary_badge[1].text.strip())
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product_prices: Tag = content.find("p", {"style": "border-bottom:1px solid GREY;"})
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USD = product_prices.find("span", {"class": "pr"}).text
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prices_array: ResultSet[Tag] = product_prices.find_all("span", {"class": "pr1"})
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BTC = prices_array[1].text
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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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def apocalypse_listing_parser(soup: Tag):
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# Fields to be parsed
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nm = 0 # Total_Products (Should be Integer)
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mktName = "Apocalypse" # 0 Marketplace_Name
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name = [] # 1 Product_Name
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CVE = [] # 2 Product_CVE_Classification (Common Vulnerabilities and Exposures)
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MS = [] # 3 Product_MS_Classification (Microsoft Security)
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category = [] # 4 Product_Category
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describe = [] # 5 Product_Description
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escrow = [] # 6 Vendor_Warranty
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views = [] # 7 Product_Number_Of_Views
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reviews = [] # 8 Product_Number_Of_Reviews
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addDate = [] # 9 Product_AddDate
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lastSeen = [] # 10 Product_LastViewDate
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BTC = [] # 11 Product_BTC_SellingPrice
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USD = [] # 12 Product_USD_SellingPrice
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EURO = [] # 13 Product_EURO_SellingPrice
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sold = [] # 14 Product_QuantitySold
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qLeft =[] # 15 Product_QuantityLeft
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shipFrom = [] # 16 Product_ShippedFrom
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shipTo = [] # 17 Product_ShippedTo
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vendor = [] # 18 Vendor
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rating = [] # 19 Vendor_Rating
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success = [] # 20 Vendor_Successful_Transactions
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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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table = soup.find("div", {"class": "col-lg-9 my-4"})
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if table is None:
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table = soup.find("div", {"class": "col-lg-9"})
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listings: ResultSet[Tag] = table.find_all("div", {"class": "col-lg-4 col-md-6 mb-1"})
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for prod in listings:
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product_name = prod.find('h5', {"class": "art_title"}).text
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name.append(cleanString(product_name.strip()))
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# Finding Product Image
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product_image = prod.find('img', {'class': 'customHeight'})
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product_image = product_image.get('src').split('base64,')[-1]
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image.append(product_image)
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CVE.append("-1")
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MS.append("-1")
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describe.append("-1")
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escrow.append("-1")
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reviews.append("-1")
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addDate.append("-1")
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lastSeen.append("-1")
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BTC.append("-1")
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EURO.append("-1")
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shipTo.append("-1")
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success.append("-1")
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image_vendor.append("-1")
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product_price = prod.find("span", {"class": "priceP"}).text
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USD.append(cleanString(product_price.strip()))
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product_sold = prod.find("span", {"class": "badge badge-success"}).text
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sold.append(cleanString(product_sold.strip()))
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product_statistics: ResultSet[Tag] = prod.find_all("p", {"class": "mb-0 card-text"})
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product_category = product_statistics[0].find("a").text
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category.append(cleanString(product_category.strip()))
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product_sold = product_statistics[1].find("span").text
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sold.append(cleanString(product_sold.strip()))
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product_quantity_left = product_statistics[2].find("span", {"class": "badge bluebadge"}).text
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qLeft.append(cleanString(product_quantity_left.strip()))
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product_views = product_statistics[3].find("span").text
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views.append(cleanString(product_views.strip()))
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product_ships_from = product_statistics[4].find("span").text
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shipFrom.append(cleanString(product_ships_from.strip()))
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product_vendor_tag: Tag = product_statistics[5].find("a").find("span", {"class": "badge badge-primary"})
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# Product vendors & ratings are displayed as "vender_name ★ 5.0"
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# When split by the star (★), it should return a 2-value array
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product_vendor, product_vendor_rating = product_vendor_tag.text.split("★")
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try:
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vendor.append(cleanString(product_vendor.strip()))
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rating.append(cleanString(product_vendor_rating.strip()))
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except Exception as e:
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raise e
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product_href = prod.find('a').get('href')
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href.append(product_href)
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nm += 1
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return organizeProducts(
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marketplace=mktName,
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nm=nm,
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vendor=vendor,
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rating_vendor=rating,
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success_vendor=success,
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nombre=name,
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CVE=CVE,
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MS=MS,
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category=category,
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describe=describe,
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views=views,
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reviews=reviews,
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rating_item=["-1" for _ in range(nm)],
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addDate=addDate,
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BTC=BTC,
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USD=USD,
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EURO=EURO,
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sold=sold,
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qLeft=qLeft,
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shipFrom=shipFrom,
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shipTo=shipTo,
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href=href,
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image=image,
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image_vendor=image_vendor
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)
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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 apocalypse_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-lg-4 col-md-6 mb-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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