I want to get the link after the redirect of the download link in the article page.
For example: https://scanlibs.com/neural-networks-systems-evolutionary-algorithms-2nd/
In the above article page, there are the following download links: https://scanlibs.com/neural-networks-systems-evolutionary-algorithms-2nd/yz5cw79mbn3a/ECNHOgoNYk0MIkEoFlUkFlY5Vj5WVSRQACVKfx8EOw8ReVs+FFs=
Open this link directly, it will not redirect to the real download link, you need to open it in the article page.
# coding=utf-8
import lxml
import re
import requests
import sys
from bs4 import BeautifulSoup
from urllib.request import urlopen
def urlopen(url):
'''
using requests to replace urllib.requests.urlopen
return an html
'''
headers = {"User-Agent":"Mozilla/5.0"}
r = requests.get(url, headers=headers)
return r.text
def generate_pages(subTitle,fromPage,toPage):
'''
return page sites' url list
'''
pages = []
if(fromPage > 0 and fromPage<toPage):
for i in range(fromPage,toPage+1):
pages.append('https://scanlibs.com/category/books'+subTitle+'/page/'+str(i))
return pages
def get_book_sites_of_one_page(page):
'''
get book site's url in one page
input: page site url
output: book site urls list
return book sites in one page
'''
html = urlopen(page)
soup = BeautifulSoup(html,'html.parser')
linkList = soup.find('main').findAll('a',{'rel':'bookmark'})
bookSites= []
for link in linkList[::2]:
if 'href' in link.attrs:
#print(link)
bookSites.append(link.attrs['href'])
return bookSites
def get_book_urls(bookSite):
'''
input a book site
find book downloading urls in this book site
then
return them as a list
'''
bookURLs=[]
html = urlopen(bookSite)
soup = BeautifulSoup(html,'lxml')
linkList = soup.findAll("a",{"target":"_blank"})
for link in linkList[::2]:
# print(link)
if 'href' in link.attrs:
bookURLs.append(link.attrs['href'])
return bookURLs
def get_all_book_urls(fromPage=1, toPage=1, subTitle=''):
bookSites = []
bookURLs = []
pages = generate_pages(subTitle,fromPage, toPage)
for page in pages:
bookSiteOfOnePage=get_book_sites_of_one_page(page)
bookSites.extend(bookSiteOfOnePage)
for bookSite in bookSites:
book_urls=get_book_urls(bookSite)
bookURLs += book_urls
for bookURL in bookURLs:
print(bookURL)
#with open(filename, 'w') as f:
# f.write(bookURLs)
def main():
if(len(sys.argv) == 4):
'''
python getUrl.py 1, 100, programming
from page 1 to page in subject programming
'''
subTitle = str(sys.argv[3])
fromPage = int(sys.argv[1])
toPage = int(sys.argv[2])
get_all_book_urls(fromPage, toPage, subTitle)
if(len(sys.argv) == 3):
'''
python getUrl.py 1 100
from page 1 to page 100
'''
subTitle = ''
fromPage = int(sys.argv[1])
toPage = int(sys.argv[2])
#filename = subTitle="-"+str(pageNum)+".txt"
get_all_book_urls(fromPage, toPage, subTitle)
elif(len(sys.argv) == 2):
'''
python getUrl.py 10
from page 10 to page 10
only download books on page 10
'''
fromPage = int(sys.argv[1])
toPage = fromPage + 1
subTitle = ''
#filename = "All-"+str(pageNum)+".txt"
get_all_book_urls(fromPage, toPage, subTitle)
elif(len(sys.argv)== 1):
fromPage = 1
# custom page range
toPage = 2
subTitle = ''
#filename = "All-"+"1"+"-"+time.strftime('%Y-%m-%d', time.localtime())+".txt"
get_all_book_urls(fromPage, toPage, subTitle)
else:
print("Error, too many arguments")
if __name__ == '__main__':
#filename = ''
main()
Thank you for your help!
This website checks if the referer is set while redirecting. You can just give the original url as referer in the header and easily bypass this. You can also see that the referer is used as a url parameter in the final download link.
import requests
from bs4 import BeautifulSoup
s = requests.Session()
url='https://scanlibs.com/neural-networks-systems-evolutionary-algorithms-2nd/'
r=html=s.get(url).text
soup=BeautifulSoup(html,'html.parser')
relative_link=soup.find('a',{'id':'download'})['href'] #get the relative link
download_redirect_link=url+relative_link
headers={
"referer": url
}
r2=requests.get(download_redirect_link,headers=headers)
print(r2.url)
Output
https://rapidgator.net/file/80e881f7631eddb49de31e5718eb96ba?referer=https://scanlibs.com/neural-networks-systems-evolutionary-algorithms-2nd/
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