本文實例講述了Python3爬蟲爬取英雄聯盟高清桌面壁紙功能。分享給大家供大家參考，具體如下：
使用Scrapy爬蟲抓取英雄聯盟高清桌面壁紙
源碼地址：https://github.com/snowyme/loldesk
開始項目前需要安裝python3和Scrapy，不會的自行百度，這里就不具體介紹了
首先，創建項目
scrapy startproject loldesk
生成項目的目錄結構
首先需要定義抓取元素，在item.py中，我們這個項目用到了圖片名和鏈接
import scrapyclass LoldeskItem(scrapy.Item): name = scrapy.Field() ImgUrl = scrapy.Field() pass
接下來在爬蟲目錄創建爬蟲文件，并編寫主要代碼，loldesk.py
import scrapyfrom loldesk.items import LoldeskItemclass loldeskpiderSpider(scrapy.Spider): name = "loldesk" allowed_domains = ["www.win4000.com"] # 抓取鏈接 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: # 下一頁 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 # 判斷頁碼 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): # 下一頁 yield response.follow(next_url, callback=self.content)圖片的鏈接和名稱已經獲取到了，接下來需要使用圖片通道下載圖片并保存到本地，pipelines.py：
from scrapy.pipelines.images import ImagesPipelinefrom scrapy.exceptions import DropItemfrom scrapy.http import Requestimport reclass 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中設置存儲目錄并開啟通道：
# 設置圖片存儲路徑IMAGES_STORE = 'F:/python/loldesk'#啟動pipeline中間件ITEM_PIPELINES = { 'loldesk.pipelines.MyImagesPipeline': 300,}在根目錄下運行程序：
scrapy crawl loldesk
大功告成！！！一共抓取到128個文件夾
希望本文所述對大家Python程序設計有所幫助。
新聞熱點
疑難解答
