scrapy操作mysql/批量下载图片

# -*- coding: utf-8 -*-
import scrapy
import os
import urllib.request
import re


class DoubanDetailSpidersSpider(scrapy.Spider):
    name = ‘douban_detail_spiders‘
    allowed_domains = [‘movie.douban.com‘]
    start_urls = [‘https://movie.douban.com/top250‘]

    file_path = "D:\\www\\scrapy\\douban_detail\\image\\"

    def parse(self, response):
        movie_list = response.xpath("//div[@class=‘article‘]//ol[@class=‘grid_view‘]/li")

        for i_item in movie_list:
            # 封面图
            master_pic_path = i_item.xpath(".//div[@class=‘pic‘]//a//img/@src").extract_first()
            # 文件名
            name = i_item.xpath(".//div[@class=‘info‘]//a/span[1]/text()").extract_first()
            # 创建文件夹
            self.fileIsBeing(name)
            # 详情连接
            detail_url = i_item.xpath(".//div[@class=‘hd‘]//a/@href").extract_first()
            # 获取详情里面内容
            # detail_link = response.xpath(".//div[@class=‘hd‘]//a/@href").extract()
            # for link in detail_link:
　　　　　　　　 # 这里是进入二级页面操作，在for循环里面。
            yield scrapy.Request(detail_url, meta={‘name‘: name}, callback=self.detail_parse, dont_filter=True)

        # 解析下一页
        next_link = response.xpath("//div[@class=‘article‘]//div[@class=‘paginator‘]//span[@class=‘next‘]/link/@href").extract()
        print(next_link)
        if next_link:
            next_link = next_link[0]
            yield scrapy.Request("https://movie.douban.com/top250" + next_link, callback=self.parse)

    # 判断文件是否存在
    # 不存在则创建
    def fileIsBeing(self, name):
        path = self.file_path + name
        bool = os.path.exists(path)
        if not(bool):
            os.mkdir(path)
        return path

    # 解析详情里面的数据 获取二级页面内容操作。主要获取图片
    def detail_parse(self, response):
        name = response.meta[‘name‘]
        print(name)
        movie_prople_list = response.xpath("//div[@id=‘celebrities‘]//ul[@class=‘celebrities-list from-subject __oneline‘]//li")
        for i_mov_item in movie_prople_list:
            background_img = i_mov_item.xpath(".//div[@class=‘avatar‘]/@style").extract_first()
            user_name = i_mov_item.xpath(".//div[@class=‘info‘]//a/@title").extract_first()
            img_file_name = "%s.jpg" % user_name  # 工作人员
            img_url = self.txt_wrap_by(‘(‘, ‘)‘, background_img)  # 图片地址
            print(img_file_name)
            file_path = os.path.join(self.file_path+name, img_file_name)
            urllib.request.urlretrieve(img_url, file_path)
        #     print(img_file_name)



    # 截取字符串中间部分
    def txt_wrap_by(self, start_str, end, html):
        start = html.find(start_str)
        if start >= 0:
            start += len(start_str)
            end = html.find(end, start)
            if end >= 0:
                return html[start:end].strip()