scrapy download images

This information comes from the Internet. I'm just a porter. I don't remember the link address. Baidu.

---- create project

# scrapy startproject MyPicSpide

r # cd MyPicSpider

-----Create your own spider in the spiders folder of the project

MySpider.py is created

----- set settings.py

## set USER_AGENT

### Set a single USER_AGENT = "Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; SV1; AcooBrowser; .NET CLR 1.1.4322; .NET CLR 2.0.50727)"

###Set multiple

USER_AGENT = [ "Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; SV1; AcooBrowser; .NET CLR 1.1.4322; .NET CLR 2.0.50727)", "Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 6.0; Acoo Browser; SLCC1; .NET CLR 2.0.50727; Media Center PC 5.0; .NET CLR 3.0.04506)", "Mozilla/4.0 (compatible; MSIE 7.0; AOL 9.5; AOLBuild 4337.35; Windows NT 5.1; .NET CLR 1.1.4322; .NET CLR 2.0.50727)", "Mozilla/5.0 (Windows; U; MSIE 9.0; Windows NT 9.0; en-US)", "Mozilla/5.0 (compatible; MSIE 9.0; Windows NT 6.1; Win64; x64; Trident/5.0; .NET CLR 3.5.30729; .NET CLR 3.0.30729; .NET CLR 2.0.50727; Media Center PC 6.0)", "Mozilla/5.0 (compatible; MSIE 8.0; Windows NT 6.0; Trident/4.0; WOW64; Trident/4.0; SLCC2; .NET CLR 2.0.50727; .NET CLR 3.5.30729; .NET CLR 3.0.30729; .NET CLR 1.0.3705; .NET CLR 1.1.4322)","Mozilla/4.0 (compatible; MSIE 7.0b; Windows NT 5.2; .NET CLR 1.1.4322; .NET CLR 2.0.50727; InfoPath.2; .NET CLR 3.0.04506.30)", "Mozilla/5.0 (Windows; U; Windows NT 5.1; zh-CN) AppleWebKit/523.15 (KHTML, like Gecko, Safari/419.3) Arora/0.3 (Change: 287 c9dfb30)", "Mozilla/5.0 (X11; U; Linux; en-US) AppleWebKit/527+ (KHTML, like Gecko, Safari/419.3) Arora/0.6", "Mozilla/5.0 (Windows; U; Windows NT 5.1; en-US; rv:1.8.1.2pre) Gecko/20070215 K-Ninja/2.1.1", "Mozilla/5.0 (Windows; U; Windows NT 5.1; zh-CN; rv:1.9) Gecko/20080705 Firefox/3.0 Kapiko/3.0", "Mozilla/5.0 (X11; Linux i686; U;) Gecko/20070322 Kazehakase/0.4.5", "Mozilla/5.0 (X11; U; Linux i686; en-US; rv:1.9.0.8) Gecko Fedora/1.9.0.8-1.fc10 Kazehakase/0.5.6", "Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/535.11 (KHTML,like Gecko) Chrome/17.0.963.56 Safari/535.11", "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_7_3) AppleWebKit/535.20 (KHTML, like Gecko) Chrome/19.0.1036.7 Safari/535.20", "Opera/9.80 (Macintosh; Intel Mac OS X 10.6.8; U; fr) Presto/2.9.168 Version/11.52", ]

###After setting multiple USER_AGENT, randomly set and modify middleware

middlewares.py ###Add this class at the end, you need to introduce random library

class RandomUserAgent(object):
    """Randomly change the user agent according to a predefined list"""

    def __init__(self, agents):
        self.agents = agents

    @classmethod
    def from_crawler(cls, crawler):
        return cls(crawler.settings.getlist('USER_AGENTS'))

    def process_request(self, request, spider):
        request.headers.setdefault('User-Agent', random.choice(self.agents))

####Set the access scope, only access the content allowed by robot.txt

ROBOTSTXT_OBEY = True

####Disable cookies COOKIES_ENABLED=False

####Open ITEM_PIPELINES -----Use the default ImagesPipeline, you can use ITEM_PIPELINES = {'scrapy.pipelines.images.ImagesPipeline': 1}

-----Rewrite this class yourself ITEM_PIPELINES = {'project name.pipelines.MyImagesPipeline': 1}

####Set download path IMAGES_STORE='G:\\www\\scrapy_rpo\\pic'

When downloading, it will generate a full folder in the folder, and the pictures are stored in it, but it will be embarrassing if it involves many directories, we will talk about this next time.

####Filter the picture, according to the width, height, below this data will not be collected

IMAGES_MIN_HEIGHT = 110 IMAGES_MIN_WIDTH = 110

####Generate Thumbnails IMAGES_THUMBS = { 'small': (50, 50), 'big': (270, 270), }

#### Modify pipelines.py

---------Use the default way to write nothing

--------Rewrite this class, mainly used to add new functions, see your own choice

import scrapy
from scrapy.pipeline.images import ImagesPipeline
from scrapy.exceptions import DropItem

class MyImagesPipeline(ImagesPipeline):
    def get_media_requests(self, item, info):
        for image_url in item['image_urls']:
            yield scrapy.Request(image_url,headers={'Referer':item['header_referer']})
    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

####Modify items.py, set fields

import scrapy
class PicspiderItem(scrapy.Item):
    # define the fields for your item here like:
    # name = scrapy.Field()
    tag = scrapy.Field()    
    image_urls = scrapy.Field() ##image path
    images = scrapy.Field()
    image_paths = scrapy.Field()

####MySpider.py Get the image url path and pass in

def parse_item(self,response):
   print response.url
   item = PicspiderItem()
   tag = response.xpath('//h1[@class="articleV4Tit"]/text()').extract()
   #print tag[0]
   #obj = BeautifulSoup(response, 'html.parser')
   #li_list = obj.find('ul',{'class':'articleV4Page l'}).find_all('li')
   #li_list =   response.xpath('//ul[@class="articleV4Page l"]/li').extract()
   #print len(li_list)
   srcs =  response.xpath('//*[@id="picBody"]/p/a[1]/img/@src').extract()
   item['image_urls'] = srcs
   return item
   #item['tag'] = tag[0]
   #items = []
   #items.append(item)
   #return items

#### run it

scrapy download images

Guess you like