# -*- coding: utf-8 -*-
import scrapy


class Tu699Spider(scrapy.Spider):
    name = 'tu_699'
    allowed_domains = ['699pic.com']
    start_urls = ['http://699pic.com/people.html']

    def parse(self, response):
        li_list = response.xpath("//div[@class='swipeboxEx']/div")
        item = {}
        for li in li_list:
            # 獲取圖片url
            item["img_url"] = li.xpath("./a/img/@data-original").extract_first()
            # 獲取圖片名稱
            item["img_name"] = li.xpath("./a/img/@title").extract_first()
            yield item
        # 獲取下一頁
        url = response.xpath("//a[@class='downPage']/@href").extract_first()
        # 判斷是否為空
        if url is not None:
            # 下一頁拼接
            next_url = "http://699pic.com/" + url
            # 傳送下一頁請求
            yield scrapy.Request(next_url, callback=self.parse)

pipelines

# -*- 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
import re
import requests

class XiaohuarPipeline(object):
    def process_item(self, item, spider):

# 對圖片的名稱進行簡單的處理
 

        item["img_name"] = re.sub(r"圖片下載", "", item["img_name"])

# 傳送圖片連結請求
        item["img"] = requests.get(item["img_url"])

# 儲存
        name = "tu_699/" + item["img_name"] + ".jpg"
        with open(name, 'wb') as f:
            f.write(item["img"].content)
        return item

3.最後說明