python3爬虫之使用Scrapy框架爬取英雄联盟高清桌面壁纸

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：

scrapy crawl loldesk

大功告成！！！一共抓取到128个文件夹

爬取性感女神照片教程，请移步：

https://blog.csdn.net/ziwoods/article/details/84334263