使用scrapy ImagesPipeline爬取图片资源的代码实例

# coding=utf-8
from scrapy.spiders import Spider
import re
from scrapy import Request
from ..items import DoubanImgsItem


class 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/' + url
      else:
        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_imgs
      yield item

# -*- 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.html

BOT_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'

# -*- 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 Field


class DoubanImgsItem(scrapy.Item):
  # define the fields for your item here like:
  # name = scrapy.Field()
  image_urls = Field()
  images = Field()
  image_paths = Field()

# -*- 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 log


class DoubanImgsPipeline(object):
  def process_item(self, item, spider):
    return item


class 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_url
      yield 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_paths
    return item