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,這裏就不具體介紹了
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 scrapy
class LoldeskItem(scrapy.Item):
name = scrapy.Field()
ImgUrl = scrapy.Field()
pass
接下來在爬蟲目錄創建爬蟲文件,並編寫主要代碼,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
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並保存到本地,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
最後在settings.py中設置存儲目錄並開啓通道:
# 設置圖片存儲路徑
IMAGES_STORE = 'F:/python/loldesk'
#啓動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
爬取性感女神照片教程,請移步: