Build a Python Crawler to Automatically Grab Drama Download Links

This article explains how to create a Python web‑scraper that automatically generates URLs, fetches drama pages from a download site, extracts ed2k links with regular expressions, saves them to text files, and handles missing pages and filename restrictions efficiently.

MaGe Linux Operations
MaGe Linux Operations
MaGe Linux Operations
Build a Python Crawler to Automatically Grab Drama Download Links

Since the Chinese regulatory restrictions limited direct streaming of foreign TV series, the author discovered a download site called "天天美剧" and decided to automate link collection using a Python crawler.

The crawler generates sequential archive URLs (e.g., http://cn163.net/archives/24016/) within a specified range, skips URLs returning a 404 status, and processes the remaining pages.

For each valid page, the script downloads the HTML, uses a regular expression to find ed2k links of the form ed2k://|file|..., and extracts the season and episode numbers from the link to sort them correctly.

The extracted links are written to a text file named after the drama title (spaces are allowed, but slashes and other illegal characters are removed), with each link on a new line.

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
# -*- coding:utf-8 -*-
import requests, re, sys, threading, 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 = {}
            for i in links:
                links_dict[int(i[1][1:3]) * 100 + int(i[2][1:3])] = i[0]
            with open(name[0].replace('/', ' ') + '.txt', 'w') as f:
                for i in sorted(links_dict.keys()):
                    f.write(links_dict[i] + '
')
        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 - start)

The full script also employs multithreading, though due to Python's GIL the performance gain is limited; the entire collection of over 20,000 dramas completes in under 20 minutes after filtering out invalid URLs.

A notable challenge was handling file names: while spaces are allowed in .txt filenames, characters such as slashes, backslashes, and parentheses are not, requiring additional sanitization of drama titles.

Source: CodeCEO – "Python Crawling Drama"
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PythonmultithreadingrequestsCrawlerweb-scrapingdrama-download
MaGe Linux Operations
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MaGe Linux Operations

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