這是一個使用scrapy的ImagesPipeline爬取下載圖片的示例，生成的圖片儲存在爬蟲的full資料夾裡。

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 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

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.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,#  '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 Field


class 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 log


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


class DoubanImgDownloadPipeline(ImagesPipeline):
  default_headers = {
    'accept': 'image/webp,image/*,'accept-encoding': 'gzip,'accept-language': 'zh-CN,'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,}

  def get_media_requests(self,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,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

到此這篇關於使用scrapy ImagesPipeline爬取圖片資源的示例程式碼的文章就介紹到這了,更多相關scrapy ImagesPipeline爬取圖片內容請搜尋我們以前的文章或繼續瀏覽下面的相關文章希望大家以後多多支援我們！