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 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'
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/*,*/*;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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