使用scrapy ImagesPipeline爬取图片资源的示例代码

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 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>
# -*- 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/*,*/*;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

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使用scrapy ImagesPipeline爬取图片资源的示例代码