本文实例讲述了Python3爬虫爬取英雄联盟高清桌面壁纸功能。分享给大家供大家参考，具体如下：
使用Scrapy爬虫抓取英雄联盟高清桌面壁纸
源码地址：https://github.com/snowyme/loldesk
开始项目前需要安装python3和Scrapy，不会的自行百度，这里就不具体介绍了
首先，创建项目
- scrapy startproject loldesk
-
生成项目的目录结构
首先需要定义抓取元素，在item.py中，我们这个项目用到了图片名和链接
- import scrapy
- class LoldeskItem(scrapy.Item):
- name = scrapy.Field()
- ImgUrl = scrapy.Field()
- pass
-
接下来在爬虫目录创建爬虫文件，并编写主要代码，loldesk.py
- import scrapy
- from loldesk.items import LoldeskItem
- class loldeskpiderSpider(scrapy.Spider):
- name = "loldesk"
- allowed_domains = ["www.win4000.com"]
- # 抓取链接
- start_urls = [
- 'http://www.win4000.com/zt/lol.html'
- ]
- def parse(self, response):
- list = response.css(".Left_bar ul li")
- for img in list:
- imgurl = img.css("a::attr(href)").extract_first()
- imgurl2 = str(imgurl)
- next_url = response.css(".next::attr(href)").extract_first()
- if next_url is not None:
- # 下一页
- yield response.follow(next_url, callback=self.parse)
- yield scrapy.Request(imgurl2, callback=self.content)
- def content(self, response):
- item = LoldeskItem()
- item['name'] = response.css(".pic-large::attr(title)").extract_first()
- item['ImgUrl'] = response.css(".pic-large::attr(src)").extract()
- yield item
- # 判断页码
- next_url = response.css(".pic-next-img a::attr(href)").extract_first()
- allnum = response.css(".ptitle em::text").extract_first()
- thisnum = next_url[-6:-5]
- if int(allnum) > int(thisnum):
- # 下一页
- yield response.follow(next_url, callback=self.content)
-
图片的链接和名称已经获取到了，接下来需要使用图片通道下载图片并保存到本地，pipelines.py：
- from scrapy.pipelines.images import ImagesPipeline
- from scrapy.exceptions import DropItem
- from scrapy.http import Request
- import re
- class MyImagesPipeline(ImagesPipeline):
- def get_media_requests(self, item, info):
- for image_url in item['ImgUrl']:
- yield Request(image_url,meta={'item':item['name']})
- def file_path(self, request, response=None, info=None):
- name = request.meta['item']
- name = re.sub(r'[？\\*|“<>:/()0123456789]', '', name)
- image_guid = request.url.split('/')[-1]
- filename = u'full/{0}/{1}'.format(name, image_guid)
- return filename
- def item_completed(self, results, item, info):
- image_path = [x['path'] for ok, x in results if ok]
- if not image_path:
- raise DropItem('Item contains no images')
- item['image_paths'] = image_path
- return item
-
最后在settings.py中设置存储目录并开启通道：
- # 设置图片存储路径
- IMAGES_STORE = 'F:/python/loldesk'
- #启动pipeline中间件
- ITEM_PIPELINES = {
- 'loldesk.pipelines.MyImagesPipeline': 300,
- }
-
在根目录下运行程序：
大功告成！！！一共抓取到128个文件夹
更多关于Python相关内容可查看jb51专题：《Python Socket编程技巧总结》、《Python正则表达式用法总结》、《Python数据结构与算法教程》、《Python函数使用技巧总结》、《Python字符串操作技巧汇总》、《Python入门与进阶经典教程》及《Python文件与目录操作技巧汇总》
希望本文所述对大家Python程序设计有所帮助。
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