全站深度爬取图片案例

 1 # -*- coding: utf-8 -*-
 2 import time
 3 from lxml.html.clean import etree
 4 
 5 import scrapy
 6 from meituwangPro.items import MeituwangproItem
 7 
 8 
 9 class SetuwSpider(scrapy.Spider):
10     name = ‘setuw‘
11     # allowed_domains = [‘http://www.setuw.com/‘]
12     start_urls = [‘http://www.setuw.com‘]
13     #首页图片分类解析
14     def parse(self, response):
15         dir_list = response.xpath(‘//ul[@class="as as1"]/a | //ul[@class="as as2"]/a‘)
16         for i in dir_list:
17             item = MeituwangproItem()
18             item[‘tag‘] = i.xpath(‘./text()‘).extract_first()
19             url = self.start_urls[0] + i.xpath(‘./@href‘).extract_first()
20 
21             #对图片分类发起请求，获取专辑信息
22             yield scrapy.Request(url, callback=self.parse_second, meta={‘item‘: item})
23             # break
24 
25     #对分类的图片循专辑信息进行解析
26     def parse_second(self, response):
27         item = response.meta[‘item‘]
28         back_page = response.xpath(‘//div[@class="turnpage"]/a[1]/@title‘).extract_first()
29         #专辑页码是倒着的，判断当前是否循环到第一页
30         if back_page != ‘上一页(无)‘:
31             try:
32                 back_url =self.start_urls[0]+response.xpath(‘//div[@class="turnpage"]/a[1]/@href‘).extract_first()
33 
34                 li_list = response.xpath(‘/html/body//div[@class="mntype_contentbg mntype_listall"]//li‘)
35                 for li in li_list:
36                     url_title=self.start_urls[0]+li.xpath(‘./a[1]/@href‘).extract_first()
37 
38                     title=li.xpath(‘./a[1]/@title‘).extract_first()
39                     #对专辑连接发送请求，获取图片信息
40                     yield scrapy.Request(url_title, callback=self.parse_img, meta={‘item‘: item,‘title‘:title,‘url_title‘:url_title})
41 
42 
43                 yield scrapy.Request(back_url, callback=self.parse_second, meta={‘item‘: item})
44             except:
45                 pass
46 
47     #解析专辑内的图片链接信息
48     def parse_img(self,response):
49         item=response.meta["item"]
50         item["title"]=response.meta[‘title‘]
51         item[‘title_url‘]=response.meta[‘url_title‘]
52         # print(item[‘title‘],response.meta[‘url_title‘])
53         item[‘urls‘]=[]
54         li_lis=response.xpath(‘//div[@class="small"]/ul/li‘)
55         for i,li in enumerate(li_lis):
56             # print(i)
57             if i== 0 or i==(len(li_lis)-1):
58                 continue
59             src=li.xpath(‘./img/@datas‘).extract_first().split(‘\‘‘)[-2]
60             item[‘urls‘].append(src)
61 
62         yield item

 1 # -*- coding: utf-8 -*-
 2 
 3 # Define here the models for your scraped items
 4 #
 5 # See documentation in:
 6 # https://doc.scrapy.org/en/latest/topics/items.html
 7 
 8 import scrapy
 9 
10 
11 class MeituwangproItem(scrapy.Item):
12     # define the fields for your item here like:
13     # name = scrapy.Field()
14     #文件夹名
15     tag=scrapy.Field()
16     #专辑名
17     title=scrapy.Field()
18     #专辑连接
19     title_url=scrapy.Field()
20     #专辑图片链接
21     urls=scrapy.Field()
22     pass

 1 # -*- coding: utf-8 -*-
 2 
 3 # Define your item pipelines here
 4 #
 5 # Don‘t forget to add your pipeline to the ITEM_PIPELINES setting
 6 # See: https://doc.scrapy.org/en/latest/topics/item-pipeline.html
 7 import os
 8 
 9 import scrapy
10 from scrapy.pipelines.images import ImagesPipeline
11 from meituwangPro.settings import IMAGES_STORE
12 
13 
14 class MeituwangproPipeline(object):
15     def process_item(self, item, spider):
16         # print(item)
17         return item
18 
19 #文件下载管道
20 class setuwImagesPipeline(ImagesPipeline):
21     def get_media_requests(self, item, info):  # 下载图片
22 
23         for url in item[‘urls‘]:
24             path=os.path.join(IMAGES_STORE,item[‘tag‘] + ‘\\‘ + item[‘title‘], url.split(‘/‘)[-1])
25             if os.path.exists(path):
26                 continue
27             yield scrapy.Request(url, meta={‘item‘: item})
28 
29     #指定下载路径
30     def file_path(self, request, response=None, info=None):
31         item = request.meta[‘item‘]
32         path = os.path.join(item[‘tag‘], item[‘title‘])
33         img_name = request.url.split(‘/‘)[-1]
34         filename = os.path.join(path, img_name)
35         print(f‘正在下载------{filename}...‘)
36         return filename