在日常爬蟲練習(xí)中，我們爬取到的數(shù)據(jù)需要進(jìn)行保存操作，在scrapy中我們可以使用ImagesPipeline這個(gè)類來進(jìn)行相關(guān)操作，這個(gè)類是scrapy已經(jīng)封裝好的了，我們直接拿來用即可。

在使用ImagesPipeline下載圖片數(shù)據(jù)時(shí)，我們需要對(duì)其中的三個(gè)管道類方法進(jìn)行重寫，其中 — get_media_request 是對(duì)圖片地址發(fā)起請(qǐng)求

— file path 是返回圖片名稱

— item_completed 返回item,將其返回給下一個(gè)即將被執(zhí)行的管道類

那具體代碼是什么樣的呢，首先我們需要在pipelines.py文件中，導(dǎo)入ImagesPipeline類，然后重寫上述所說的3個(gè)方法：

from scrapy.pipelines.images import ImagesPipelineimport scrapyimport os class ImgsPipLine(ImagesPipeline): def get_media_requests(self, item, info):yield scrapy.Request(url = item[’img_src’],meta={’item’:item}) #返回圖片名稱即可 def file_path(self, request, response=None, info=None):item = request.meta[’item’]print(’########’,item)filePath = item[’img_name’]return filePath def item_completed(self, results, item, info):return item

方法定義好后，我們需要在settings.py配置文件中進(jìn)行設(shè)置，一個(gè)是指定圖片保存的位置IMAGES_STORE = ’D:ImgPro’，然后就是啟用“ImgsPipLine”管道，

ITEM_PIPELINES = { ’imgPro.pipelines.ImgsPipLine’: 300, #300代表優(yōu)先級(jí)，數(shù)字越小優(yōu)先級(jí)越高}

設(shè)置完成后，我們運(yùn)行程序后就可以看到“D:ImgPro”下保存成功的圖片。

完整代碼如下：

spider文件代碼：

# -*- coding: utf-8 -*-import scrapyfrom imgPro.items import ImgproItem class ImgSpider(scrapy.Spider): name = ’img’ allowed_domains = [’www.521609.com’] start_urls = [’http://www.521609.com/daxuemeinv/’] def parse(self, response):#解析圖片地址和圖片名稱li_list = response.xpath(’//div[@class='index_img list_center']/ul/li’)for li in li_list: item = ImgproItem() item[’img_src’] = ’http://www.521609.com/’ + li.xpath(’./a[1]/img/@src’).extract_first() item[’img_name’] = li.xpath(’./a[1]/img/@alt’).extract_first() + ’.jpg’ # print(’***********’) # print(item) yield item

items.py文件

import scrapy class ImgproItem(scrapy.Item): # define the fields for your item here like: # name = scrapy.Field() img_src = scrapy.Field() img_name = scrapy.Field()

pipelines.py文件

from scrapy.pipelines.images import ImagesPipelineimport scrapyimport osfrom imgPro.settings import IMAGES_STORE as IMGS class ImgsPipLine(ImagesPipeline): def get_media_requests(self, item, info):yield scrapy.Request(url = item[’img_src’],meta={’item’:item}) #返回圖片名稱即可 def file_path(self, request, response=None, info=None):item = request.meta[’item’]print(’########’,item)filePath = item[’img_name’]return filePath def item_completed(self, results, item, info):return item

settings.py文件

import randomBOT_NAME = ’imgPro’ SPIDER_MODULES = [’imgPro.spiders’]NEWSPIDER_MODULE = ’imgPro.spiders’ IMAGES_STORE = ’D:ImgPro’ #文件保存路徑LOG_LEVEL = 'WARNING'ROBOTSTXT_OBEY = False#設(shè)置user-agentUSER_AGENTS_LIST = ['Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.1 (KHTML, like Gecko) Chrome/22.0.1207.1 Safari/537.1','Mozilla/5.0 (X11; CrOS i686 2268.111.0) AppleWebKit/536.11 (KHTML, like Gecko) Chrome/20.0.1132.57 Safari/536.11','Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/536.6 (KHTML, like Gecko) Chrome/20.0.1092.0 Safari/536.6','Mozilla/5.0 (Windows NT 6.2) AppleWebKit/536.6 (KHTML, like Gecko) Chrome/20.0.1090.0 Safari/536.6','Mozilla/5.0 (Windows NT 6.2; WOW64) AppleWebKit/537.1 (KHTML, like Gecko) Chrome/19.77.34.5 Safari/537.1','Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/536.5 (KHTML, like Gecko) Chrome/19.0.1084.9 Safari/536.5','Mozilla/5.0 (Windows NT 6.0) AppleWebKit/536.5 (KHTML, like Gecko) Chrome/19.0.1084.36 Safari/536.5','Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/536.3 (KHTML, like Gecko) Chrome/19.0.1063.0 Safari/536.3','Mozilla/5.0 (Windows NT 5.1) AppleWebKit/536.3 (KHTML, like Gecko) Chrome/19.0.1063.0 Safari/536.3','Mozilla/5.0 (Macintosh; Intel Mac OS X 10_8_0) AppleWebKit/536.3 (KHTML, like Gecko) Chrome/19.0.1063.0 Safari/536.3','Mozilla/5.0 (Windows NT 6.2) AppleWebKit/536.3 (KHTML, like Gecko) Chrome/19.0.1062.0 Safari/536.3','Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/536.3 (KHTML, like Gecko) Chrome/19.0.1062.0 Safari/536.3','Mozilla/5.0 (Windows NT 6.2) AppleWebKit/536.3 (KHTML, like Gecko) Chrome/19.0.1061.1 Safari/536.3','Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/536.3 (KHTML, like Gecko) Chrome/19.0.1061.1 Safari/536.3','Mozilla/5.0 (Windows NT 6.1) AppleWebKit/536.3 (KHTML, like Gecko) Chrome/19.0.1061.1 Safari/536.3','Mozilla/5.0 (Windows NT 6.2) AppleWebKit/536.3 (KHTML, like Gecko) Chrome/19.0.1061.0 Safari/536.3','Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/535.24 (KHTML, like Gecko) Chrome/19.0.1055.1 Safari/535.24','Mozilla/5.0 (Windows NT 6.2; WOW64) AppleWebKit/535.24 (KHTML, like Gecko) Chrome/19.0.1055.1 Safari/535.24' ]USER_AGENT = random.choice(USER_AGENTS_LIST)DEFAULT_REQUEST_HEADERS = { ’Accept’: ’text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8’, ’Accept-Language’: ’en’, # ’User-Agent’:'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.36', ’User-Agent’:USER_AGENT} #啟動(dòng)pipeline管道ITEM_PIPELINES = { ’imgPro.pipelines.ImgsPipLine’: 300,}

以上即是使用ImagesPipeline下載保存圖片的方法，今天突生一個(gè)疑惑，爬蟲爬的好，真的是牢飯吃的飽嗎？還請(qǐng)各位大佬解答！更多相關(guān)Python scrapy下載保存內(nèi)容請(qǐng)搜索好吧啦網(wǎng)以前的文章或繼續(xù)瀏覽下面的相關(guān)文章希望大家以后多多支持好吧啦網(wǎng)！