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本文實(shí)例講述了Python3爬蟲爬取英雄聯(lián)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(lián)盟高清桌面壁紙
源碼地址:https://github.com/snowyme/loldesk
開始項(xiàng)目前需要安裝python3和Scrapy,不會(huì)的自行百度,這里就不具體介紹了
首先,創(chuàng)建項(xiàng)目
scrapy startproject loldesk
生成項(xiàng)目的目錄結(jié)構(gòu)
首先需要定義抓取元素,在item.py中,我們這個(gè)項(xiàng)目用到了圖片名和鏈接
import scrapy class LoldeskItem(scrapy.Item): name = scrapy.Field() ImgUrl = scrapy.Field() pass
接下來(lái)在爬蟲目錄創(chuàng)建爬蟲文件,并編寫主要代碼,loldesk.py
import scrapy from loldesk.items import LoldeskItem class 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(yè) 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(yè)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(yè) yield response.follow(next_url, callback=self.content)
圖片的鏈接和名稱已經(jīng)獲取到了,接下來(lái)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 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中設(shè)置存儲(chǔ)目錄并開啟通道:
# 設(shè)置圖片存儲(chǔ)路徑 IMAGES_STORE = 'F:/python/loldesk' #啟動(dòng)pipeline中間件 ITEM_PIPELINES = { 'loldesk.pipelines.MyImagesPipeline': 300, }
在根目錄下運(yùn)行程序:
scrapy crawl loldesk
大功告成!??!一共抓取到128個(gè)文件夾
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