scrapy--Beautyleg

　　很早就开始关注:Beautyleg 高清丝袜美腿.关注之后开始觉得打开了新世界的大门,如果有相同观点的,那么你很有品味.说真的,学习爬虫的动力之一就是想把里面的图片爬取下来。哈哈哈!!!

给大家放点爬取完的图片,激励下大家赶紧动手。嘿嘿嘿

1.Beauty.py

# -*- coding: utf-8 -*-
import scrapy
from scrapy.pipelines.images import ImagesPipeline
from scrapy.linkextractors import LinkExtractor
from beauty.items import BeautyItem
import pdb

class BeautySpider(scrapy.Spider):
    name = 'Beauty'
    allowed_domains = ['www.beautylegmm.com']
    start_urls = ['http://www.beautylegmm.com/']

    def parse(self, response):
        le = LinkExtractor(restrict_css='div.post_weidaopic')
        #pdb.set_trace()
        for link in le.extract_links(response):
            yield scrapy.Request(link.url,callback=self.parse_url)

        le2 = LinkExtractor(restrict_css='ol.page-navigator')
        for link2 in le2.extract_links(response):
            yield scrapy.Request(link2.url,callback=self.parse)

    def parse_url(self,response):
        photo = BeautyItem()

        if response.css('div.post a::attr(href)'):
            for href in response.css('div.post a::attr(href)')[:4]:　　　　　#<a href=''>有很多,就只有前4个是图片地址,取前4个连接就够了.没有域名：<a href="/photo/beautyleg/2018/1630/beautyleg-1630-0001.jpg">
                full_url  = response.urljoin(href.extract())　　　　　　　　　#使用response.urljoin(),整合src,获得图片的绝对路径:http://www.beautylegmm.com/photo/beautyleg/2018/1630/beautyleg-1630-0001.jpg
                photo['images_url'] = full_url
                yield photo

        le1 = LinkExtractor(restrict_css='div.grid_10 div.post')　　　　　　　#获取页数：<a href="http://www.beautylegmm.com/Rubis/beautyleg-1630.html?page=1" >

        for link1 in le1.extract_links(response):
            #pdb.set_trace()
            yield scrapy.Request(link1.url,callback=self.parse_url)

 2.items.py

import scrapy

class BeautyItem(scrapy.Item):

    images_url = scrapy.Field()
    images     = scrapy.Field()

3.pipelines.py

import scrapy
from scrapy.exceptions import DropItem
from scrapy.pipelines.images import ImagesPipeline
import pdb

class BeautyPipeline(ImagesPipeline):

    def get_media_requests(self,item,info):
        yield scrapy.Request(item['images_url'])

    def item_completed(self,results,item,info):
        images_path = [x['path'] for ok,x in results if ok]
        if not images_path:
            raise DropItem ('item contain no images')

        return item

4.settings.py

USER_AGENT ={       #设置浏览器的User_agent
    "Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.1 (KHTML, like Gecko) Chrome/22.0.1207.1 Safari/537.1",
    "Mozilla/5.0 (X11; CrOS i686 2268.111.0) AppleWebKit/536.11 (KHTML, like Gecko) Chrome/20.0.1132.57 Safari/536.11",
    "Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/536.6 (KHTML, like Gecko) Chrome/20.0.1092.0 Safari/536.6",
    "Mozilla/5.0 (Windows NT 6.2) AppleWebKit/536.6 (KHTML, like Gecko) Chrome/20.0.1090.0 Safari/536.6",
    "Mozilla/5.0 (Windows NT 6.2; WOW64) AppleWebKit/537.1 (KHTML, like Gecko) Chrome/19.77.34.5 Safari/537.1",
    "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/536.5 (KHTML, like Gecko) Chrome/19.0.1084.9 Safari/536.5",
    "Mozilla/5.0 (Windows NT 6.0) AppleWebKit/536.5 (KHTML, like Gecko) Chrome/19.0.1084.36 Safari/536.5",
    "Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/536.3 (KHTML, like Gecko) Chrome/19.0.1063.0 Safari/536.3",
    "Mozilla/5.0 (Windows NT 5.1) AppleWebKit/536.3 (KHTML, like Gecko) Chrome/19.0.1063.0 Safari/536.3",
    "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_8_0) AppleWebKit/536.3 (KHTML, like Gecko) Chrome/19.0.1063.0 Safari/536.3",
    "Mozilla/5.0 (Windows NT 6.2) AppleWebKit/536.3 (KHTML, like Gecko) Chrome/19.0.1062.0 Safari/536.3",
    "Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/536.3 (KHTML, like Gecko) Chrome/19.0.1062.0 Safari/536.3",
    "Mozilla/5.0 (Windows NT 6.2) AppleWebKit/536.3 (KHTML, like Gecko) Chrome/19.0.1061.1 Safari/536.3",
    "Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/536.3 (KHTML, like Gecko) Chrome/19.0.1061.1 Safari/536.3",
    "Mozilla/5.0 (Windows NT 6.1) AppleWebKit/536.3 (KHTML, like Gecko) Chrome/19.0.1061.1 Safari/536.3",
    "Mozilla/5.0 (Windows NT 6.2) AppleWebKit/536.3 (KHTML, like Gecko) Chrome/19.0.1061.0 Safari/536.3",
    "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/535.24 (KHTML, like Gecko) Chrome/19.0.1055.1 Safari/535.24",
    "Mozilla/5.0 (Windows NT 6.2; WOW64) AppleWebKit/535.24 (KHTML, like Gecko) Chrome/19.0.1055.1 Safari/535.24"
}

CONCURRENT_REQUESTS = 16    #同时来16个请求
DOWNLOAD_DELAY = 0.2        #0.2s后开启处理第一个请求

ROBOTSTXT_OBEY = False

LOAD_TRUNCATED_IMAGES = True

COOKIES_ENABLED = False

ITEM_PIPELINES = {
    'beauty.pipelines.BeautyPipeline': 1,
}

好了,有感兴趣的小伙伴,遇到什么问题可以来咨询我!!!