How to Scrape and Download All King of Glory Hero Skins with Python

Introduction

King of Glory (Wangzhe Rongyao) is a popular game with many hero skins that can be used as wallpapers. This tutorial shows how to use Python to crawl and download these skins.

Project Goal

Create a folder to store hero skins categorized by hero, and display download results in the console.

Preparation

Software: PyCharm. Required libraries: requests, lxml, fake_useragent, json, os.

Target website example: https://www.555x.org/html/wuxiaxianxia/list_29_{}.html

Analysis

1. Open the official King of Glory website and go to hero details.

2. Use browser dev tools (F12) to inspect hero links.

3. Observe URL pattern such as herodetail/531.shtml; the numeric part identifies the hero.

4. In the Network tab, find herolist.json and download it.

5. The JSON contains fields ename (hero identifier), cname (hero name), and skin_name (skin name).

6. Hero detail pages reveal image URLs such as

http://game.gtimg.cn/images/yxzj/img201606/skin/hero-info/107/107-bigskin-1.jpg

.

http://game.gtimg.cn/images/yxzj/img201606/skin/hero-info/{}/{}-bigskin-{}.jpg

Implementation

Define a class wzry with an __init__ method that creates the main folder, and a main method to run the workflow.

import requests, json, os
from lxml import etree
from fake_useragent import UserAgent

class wzry(object):
    def __init__(self):
        os.mkdir("王者")  # create folder (run only once)

    def main(self):
        pass

if __name__ == '__main__':
    Siper = wzry()
    Siper.main()

Parse herolist.json:

def wzry(self):
    response = requests.get('https://pvp.qq.com/web201605/js/herolist.json', headers=self.headers)
    content = response.text
    data = json.loads(content)

def main(self):
    self.wzry()

Iterate over heroes, create subfolders, request hero detail page, extract skin names with XPath, construct image URLs, download images, and save them.

for i in data:
    hero_number = i['ename']
    hero_name = i['cname']
    os.mkdir(f"./王者荣耀/{hero_name}")

response_src = requests.get(f"https://pvp.qq.com/web201605/herodetail/{hero_number}.shtml", headers=self.headers)
hero_content = response_src.content.decode('gbk')
hero_data = etree.HTML(hero_content)
hero_img = hero_data.xpath('//div[@class="pic-pf"]/ul/@data-imgname')
hero_src = hero_img[0].split('|')

for i in range(len(hero_src)):
    i_num = hero_src[i].find("&")
    skin_name = hero_src[i][:i_num]
    response_skin = requests.get(
        f"https://game.gtimg.cn/images/yxzj/img201606/skin/hero-info/{hero_number}/{hero_number}-bigskin-{i+1}.jpg")
    skin_img = response_skin.content
    with open(f"./王者荣耀/{hero_name}/{skin_name}.jpg", "wb") as f:
        f.write(skin_img)
        print(f"{skin_name}.jpg 下载成功！！")

Result

Running the script creates a folder “王者荣耀” with subfolders for each hero, each containing the downloaded skin images. The console prints success messages.

Conclusion

Avoid excessive crawling to reduce server load.

The project demonstrates basic JSON parsing, string formatting, and use of the format function.

Hands‑on practice helps deepen understanding of web scraping with Python.