用scrapy爬取图片

• 首先创建好我们得项目
  -- scrapy startproject projectname
• 然后在创建你的爬虫启动文件
  -- scrapy genspider spidername
  然后进入我们得settings文件下配置我们得携带参数
  USER_AGENT = 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_12_6) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/83.0.4103.106 Safari/537.36' ROBOTSTXT_OBEY = False LOG_LEVEL = 'ERROR'
  
  我们也要创建一个存储图片得路径

我们先写启动文件spiders中得代码(不解释这些模块得用法，过于基础)

import scrapy
import requests
from img_downloads.items import ImgDownloadsItem


class ImgDownSpider(scrapy.Spider):
    name = 'img_down'
    # allowed_domains = ['http://pic.netbian.com/4kdongman/']
    start_urls = ['http://pic.netbian.com/new/index.html']
    url_model = 'http://pic.netbian.com/new/index_%s.html'
    page_num = 2

    def parse(self, response):
        detail_list = response.xpath('//*[@id="main"]/div[3]/ul/li/a/@href').extract()
        for detail in detail_list:
            detail_url = 'http://pic.netbian.com' + detail
            item = ImgDownloadsItem()
            # print(detail_url)
            yield scrapy.Request(detail_url, callback=self.parse_detail, meta={'item': item})
        if self.page_num < 3:
            new_url = self.url_model % self.page_num
            print(new_url)
            self.page_num += 1
            yield scrapy.Request(new_url, callback=self.parse)

    def parse_detail(self, response):
        upload_img_url_list = response.xpath('//*[@id="img"]/img/@src').extract()
        upload_img_name = response.xpath('//*[@id="img"]/img/@title').extract_first()

        item = response.meta['item']
        for upload_img_url in upload_img_url_list:
            # print(upload_img_url)
            img_url = 'http://pic.netbian.com' + upload_img_url
            # print(img_url)
            item['img_src'] = img_url
            item['img_name'] = upload_img_name+'.jpg'
            # print(upload_img_name)
            yield item

然后进入我们得管道文件
from scrapy import Request
from scrapy.pipelines.images import ImagesPipeline
import scrapy
class ImgDownloadsPipeline(ImagesPipeline):
    def get_media_requests(self, item, info):
        yield scrapy.Request(url=item['img_src'], meta={'item': item})
    # 返回图片名称即可
    def file_path(self,request,response=None,info=None):
        item = request.meta['item']
        img_name = item['img_name']
        print(img_name,'下载成功！！！')
        return img_name

    def item_completed(self,results,item,info):
        return item

最后回到settings中吧管道配置打开
ITEM_PIPELINES = { 'img_downloads.pipelines.ImgDownloadsPipeline': 300, }