Build a Python Crawler to Auto‑Collect TV Drama Download Links
This article describes how the author built a Python web crawler to automatically generate numeric URLs, fetch TV drama pages from the 天天美剧 site, extract ed2k download links using regular expressions, and save them into organized text files, streamlining the download process with Thunder.
The author, a fan of American TV series, wanted to simplify downloading episodes from the "天天美剧" site and wrote a Python web crawler to collect all drama links and save them to a text file for easy use with Thunder.
Initially the plan was to crawl the whole site from the homepage, but irregular URLs and many duplicates made it difficult, so the author switched to generating URLs by iterating over numeric IDs (e.g., http://cn163.net/archives/24016/).
Requests is used to check each generated URL; URLs returning 404 are skipped, while others are processed to extract download links.
def get_urls(self):
try:
for i in range(2015,25000):
base_url='http://cn163.net/archives/'
url=base_url+str(i)+'/'
if requests.get(url).status_code == 404:
continue
else:
self.save_links(url)
except Exception as e:
passThe extraction relies on regular expressions to find ed2k links and episode titles, storing them in a dictionary keyed by season and episode numbers, then writing them in order to a .txt file.
# -*- coding:utf-8 -*-
import requests
import re
import sys
import threading
import time
reload(sys)
sys.setdefaultencoding('utf-8')
class Archives(object):
def save_links(self,url):
try:
data=requests.get(url,timeout=3)
content=data.text
link_pat='"(ed2k://|file|[^\"]+?\.(S\d+)(E\d+)[^\"]+?1024X\d{3}[^\"]+?)"'
name_pat=re.compile(r'<h2 class="entry_title">(.*?)</h2>',re.S)
links = set(re.findall(link_pat,content))
name=re.findall(name_pat,content)
links_dict = {}
count=len(links)
except Exception as e:
pass
for i in links:
links_dict[int(i[1][1:3])*100 + int(i[2][1:3])] = i
try:
with open(name[0].replace('/',' ') + '.txt','w') as f:
print name[0]
for i in sorted(list(links_dict.keys())):
f.write(links_dict[i][0] + '
')
print "Get links ... ", name[0], count
except Exception as e:
pass
def get_urls(self):
try:
for i in range(2015,25000):
base_url='http://cn163.net/archives/'
url=base_url+str(i)+'/'
if requests.get(url).status_code == 404:
continue
else:
self.save_links(url)
except Exception as e:
pass
def main(self):
thread1=threading.Thread(target=self.get_urls())
thread1.start()
thread1.join()
if __name__ == '__main__':
start=time.time()
a=Archives()
a.main()
end=time.time()
print end-startThe full script runs in under 20 minutes for about 20,000 potential pages, skipping invalid URLs and handling filename restrictions (no slashes or special characters).
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