How to Build a Python Scraper for Mikan Anime Site and Download Torrents
This tutorial walks through building a Python web scraper that fetches anime torrent links from the Mikan Project site, handles pagination, bypasses anti‑scraping measures, parses pages with lxml, and saves the .torrent files locally, complete with code snippets and screenshots.
Project Background
The Mikan Project is a next‑generation anime streaming site that provides the latest anime resources and daily curated recommendations.
Project Goal
Automatically obtain anime torrent links from the site and save them to local files.
Libraries and Target Site
Target URL pattern: https://mikanani.me/Home/Classic/{} Key Python libraries used:
requests
lxml
fake_useragent
IDE: PyCharm
Project Analysis
To crawl multiple pages, the URL for the next page increments the number after Classic/. By replacing the variable part with {} and iterating with a for loop, we can request each page sequentially.
Anti‑Scraping Measures
Use realistic HTTP request headers.
Generate random User‑Agent strings with fake_useragent.
Implementation Steps
1. Class Definition and Imports
import requests
from lxml import etree
from fake_useragent import UserAgent
class Mikan(object):
def __init__(self):
self.url = "https://mikanani.me/Home/Classic/{}"
def main(self):
pass
if __name__ == '__main__':
scraper = Mikan()
scraper.main()2. Main Method – Loop Through Pages
start = int(input("start :"))
end = int(input(" end:"))
for page in range(start, end + 1):
url = self.url.format(page)
print(url)3. Random User‑Agent Generation
for i in range(1, 50):
self.headers = {
'User-Agent': ua.random,
}4. Send Request and Get Response
def get_page(self, url):
res = requests.get(url=url, headers=self.headers)
html = res.content.decode("utf-8")
return html5. Parse First‑Level Page with XPath
parse_html = etree.HTML(html)
one = parse_html.xpath('//tbody//tr//td[3]/a/@href')
for li in one:
detail_url = "https://mikanani.me" + li6. Parse Second‑Level Page for Torrent Links
tow = parse_html2.xpath('//body')
for i in tow:
title = i.xpath('.//p[@class="episode-title"]//text()')[0].strip()
torrent_path = i.xpath('.//div[@class="leftbar-nav"]/a[1]/@href')[0].strip()
torrent_url = "https://mikanani.me" + torrent_path
print(torrent_url)7. Save Torrent File
dirname = "./种子/" + title[:15] + title[-20:] + '.torrent'
content = requests.get(url=torrent_url, headers=self.headers).content
with open(dirname, 'wb') as f:
f.write(content)
print("
%s下载成功" % title)8. Execute Workflow
html = self.get_page(url)
self.parse_page(html)Effect Demonstration
Running the program prompts for start and end pages, then prints each generated URL:
Successful download messages appear in the console:
The .torrent files are saved locally:
To open a torrent file, upload it to a cloud storage service (e.g., Baidu Cloud) and then double‑click to start the download:
Conclusion
Avoid excessive crawling to prevent server overload.
This guide demonstrates Python techniques for scraping the Mikan Project, handling anti‑scraping measures, and downloading torrent files.
It also covers string concatenation, list type conversion, and practical debugging tips.
Hands‑on practice is essential for deeper understanding.
The Mikan Project also offers daily anime recommendations.
Signed-in readers can open the original source through BestHub's protected redirect.
This article has been distilled and summarized from source material, then republished for learning and reference. If you believe it infringes your rights, please contactand we will review it promptly.
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