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这是一个使用scrapy的ImagesPipeline爬取下载图片的示例，生成的图片保存在爬虫的full文件夹里。

scrapy startproject DoubanImgs

cd DoubanImgs

scrapy genspider download_douban douban.com

vim spiders/download_douban.py

# coding=utf-8
from scrapy.spiders import Spider
import re
from scrapy import Request
from ..items import DoubanImgsItemclass download_douban(Spider):name = 'download_douban'default_headers = {'Accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,*/*;q=0.8','Accept-Encoding': 'gzip, deflate, sdch, br','Accept-Language': 'zh-CN,zh;q=0.8,en;q=0.6','Cache-Control': 'max-age=0','Connection': 'keep-alive','Host': 'www.douban.com','User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_11_4) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/52.0.2743.116 Safari/537.36',}def __init__(self, url='1638835355', *args, **kwargs):self.allowed_domains = ['douban.com']self.start_urls = []for i in xrange(23):if i == 0:page_url = 'http://www.douban.com/photos/album/' + urlelse:page_url = 'http://www.douban.com/photos/album/' + url + '/?start=' + str(i*18)self.start_urls.append(page_url)self.url = url# call the father base function# super(download_douban, self).__init__(*args, **kwargs)def start_requests(self):for url in self.start_urls:yield Request(url=url, headers=self.default_headers, callback=self.parse)def parse(self, response):list_imgs = response.xpath('//div[@class="photolst clearfix"]//img/@src').extract()if list_imgs:item = DoubanImgsItem()item['image_urls'] = list_imgsyield item

vim settings.py

# -*- coding: utf-8 -*-# Scrapy settings for DoubanImgs project
#
# For simplicity, this file contains only settings considered important or
# commonly used. You can find more settings consulting the documentation:
#
#     https://doc.scrapy.org/en/latest/topics/settings.html
#     https://doc.scrapy.org/en/latest/topics/downloader-middleware.html
#     https://doc.scrapy.org/en/latest/topics/spider-middleware.htmlBOT_NAME = 'DoubanImgs'SPIDER_MODULES = ['DoubanImgs.spiders']
NEWSPIDER_MODULE = 'DoubanImgs.spiders'ITEM_PIPELINES = {'DoubanImgs.pipelines.DoubanImgDownloadPipeline': 300,
}
IMAGES_STORE = '.'
IMAGES_EXPIRES = 90# Crawl responsibly by identifying yourself (and your website) on the user-agent
#USER_AGENT = 'DoubanImgs (+http://www.yourdomain.com)'# Obey robots.txt rules
ROBOTSTXT_OBEY = False# Configure maximum concurrent requests performed by Scrapy (default: 16)
#CONCURRENT_REQUESTS = 32# Configure a delay for requests for the same website (default: 0)
# See https://doc.scrapy.org/en/latest/topics/settings.html#download-delay
# See also autothrottle settings and docs
DOWNLOAD_DELAY = 0.5
# The download delay setting will honor only one of:
#CONCURRENT_REQUESTS_PER_DOMAIN = 16
#CONCURRENT_REQUESTS_PER_IP = 16# Disable cookies (enabled by default)
#COOKIES_ENABLED = False# Disable Telnet Console (enabled by default)
#TELNETCONSOLE_ENABLED = False# Override the default request headers:
#DEFAULT_REQUEST_HEADERS = {
#   'Accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8',
#   'Accept-Language': 'en',
#}# Enable or disable spider middlewares
# See https://doc.scrapy.org/en/latest/topics/spider-middleware.html
#SPIDER_MIDDLEWARES = {
#    'DoubanImgs.middlewares.DoubanimgsSpiderMiddleware': 543,
#}# Enable or disable downloader middlewares
# See https://doc.scrapy.org/en/latest/topics/downloader-middleware.html
#DOWNLOADER_MIDDLEWARES = {
#    'DoubanImgs.middlewares.DoubanimgsDownloaderMiddleware': 543,
#}# Enable or disable extensions
# See https://doc.scrapy.org/en/latest/topics/extensions.html
#EXTENSIONS = {
#    'scrapy.extensions.telnet.TelnetConsole': None,
#}# Configure item pipelines
# See https://doc.scrapy.org/en/latest/topics/item-pipeline.html
#ITEM_PIPELINES = {
#    'DoubanImgs.pipelines.DoubanimgsPipeline': 300,
#}# Enable and configure the AutoThrottle extension (disabled by default)
# See https://doc.scrapy.org/en/latest/topics/autothrottle.html
#AUTOTHROTTLE_ENABLED = True
# The initial download delay
#AUTOTHROTTLE_START_DELAY = 5
# The maximum download delay to be set in case of high latencies
#AUTOTHROTTLE_MAX_DELAY = 60
# The average number of requests Scrapy should be sending in parallel to
# each remote server
#AUTOTHROTTLE_TARGET_CONCURRENCY = 1.0
# Enable showing throttling stats for every response received:
#AUTOTHROTTLE_DEBUG = False# Enable and configure HTTP caching (disabled by default)
# See https://doc.scrapy.org/en/latest/topics/downloader-middleware.html#httpcache-middleware-settings
#HTTPCACHE_ENABLED = True
#HTTPCACHE_EXPIRATION_SECS = 0
#HTTPCACHE_DIR = 'httpcache'
#HTTPCACHE_IGNORE_HTTP_CODES = []
#HTTPCACHE_STORAGE = 'scrapy.extensions.httpcache.FilesystemCacheStorage'

vim items.py

# -*- coding: utf-8 -*-# Define here the models for your scraped items
#
# See documentation in:
# https://doc.scrapy.org/en/latest/topics/items.html
import scrapy
from scrapy import Fieldclass DoubanImgsItem(scrapy.Item):# define the fields for your item here like:# name = scrapy.Field()image_urls = Field()images = Field()image_paths = Field()

vim pipelines.py

# -*- coding: utf-8 -*-# Define your item pipelines here
#
# Don't forget to add your pipeline to the ITEM_PIPELINES setting
# See: http://doc.scrapy.org/en/latest/topics/item-pipeline.html
from scrapy.pipelines.images import ImagesPipeline
from scrapy.exceptions import DropItem
from scrapy import Request
from scrapy import logclass DoubanImgsPipeline(object):def process_item(self, item, spider):return itemclass DoubanImgDownloadPipeline(ImagesPipeline):default_headers = {'accept': 'image/webp,image/*,*/*;q=0.8','accept-encoding': 'gzip, deflate, sdch, br','accept-language': 'zh-CN,zh;q=0.8,en;q=0.6','cookie': 'bid=yQdC/AzTaCw','referer': 'https://www.douban.com/photos/photo/2370443040/','user-agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_11_4) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/52.0.2743.116 Safari/537.36',}def get_media_requests(self, item, info):for image_url in item['image_urls']:self.default_headers['referer'] = image_urlyield Request(image_url, headers=self.default_headers)def item_completed(self, results, item, info):image_paths = [x['path'] for ok, x in results if ok]if not image_paths:raise DropItem("Item contains no images")item['image_paths'] = image_pathsreturn item

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