1.配置python环境

可以参考网友分享，注意这里我们是保存数据到数据库，还需要配置好数据库Mysql环境，在python里还要下载三方库pymysql

2.创建项目qunar

1. 打开命令窗:win+r,输入cmd
2. 切换路径为项目所存放的路径：cd 项目存放路径地址
3. 在该路径下创建一个scrapy项目：scrapy startproject qunar
4. 切换到创建好的项目目录的spiders目录，创建主文件：scrapy genspider Qunar “travel.qunar.com”
5. 最后打开该项目文件夹，可以看到我们创建好的项目文件了，可以代开Qunar.py文件，里面原始代码如下：

import scrapy


class QunarSpider(scrapy.Spider):
    name = "Qunar"
    allowed_domains = ["travel.qunar.com"]
    start_urls = ["http://travel.qunar.com/"]
    def parse(self, response):
       pass

3. items.py文件

打开此文件进行编辑，设置我们需要爬取的数据项

# Define here the models for your scraped items
#
# See documentation in:
# https://docs.scrapy.org/en/latest/topics/items.html

import scrapy


class QunarItem(scrapy.Item):
    # define the fields for your item here like:
    # name = scrapy.Field()
    
    Title=scrapy.Field()
    TravelLink=scrapy.Field()
    Date=scrapy.Field()
    Days=scrapy.Field()
    Photo_Nums=scrapy.Field()
    Free=scrapy.Field()
    People=scrapy.Field()
    Places=scrapy.Field()
    Views=scrapy.Field()
    Love=scrapy.Field()
    Trip=scrapy.Field()

4.主文件Qunar.py

接着对主文件进行编辑，这里代码里使用try与except,由于页面的数据不是完全一样，有些会定位不到，然后会报错，我这里就略过不全数据

import scrapy
from qunar.items import QunarItem

class QunarSpider(scrapy.Spider):
    name = "Qunar"
    allowed_domains = ["travel.qunar.com"]
    start_urls = ["http://travel.qunar.com/"]
    def start_requests(self):
    
    # 整理所需要页面的url
        for i in range(1,101):
            url='https://travel.qunar.com/travelbook/list.htm?page={}&order=hot_heat'.format(i)
            print("爬取链接：",url)
            yield scrapy.Request(url=url,callback=self.parse)
    def parse(self, response):
        # 保存数据
        item=QunarItem()
        # 定位每一页列表
        # print(response.status_code)
        text=response.xpath('//li[@class="list_item "]')
        # print("返回结果：",text)
        for list_item in text:
            try:
                item['Title']=list_item.xpath('./h2[@class="tit"]/a/text()').extract()[0]
                item['TravelLink']=list_item.xpath('./h2[@class="tit"]/a/@href').extract()[0]
                # /html/body/div[3]/div/div[2]/ul/li[6]/p[1]/span[1]/span[2]
                item['Places']=list_item.xpath('.//p[@class="places"]/text()').extract()[0]
                item['Date']=list_item.xpath('./p[@class="user_info"]/span[@class="intro"]/span[@class="date"]/text()').extract()[0]
                item['Days']=list_item.xpath('./p[@class="user_info"]/span[@class="intro"]/span[@class="days"]/text()').extract()[0]
                item['Photo_Nums']=list_item.xpath('./p[@class="user_info"]/span[@class="intro"]/span[@class="photo_nums"]/text()').extract()[0]
                item['Free']=list_item.xpath('./p[@class="user_info"]/span[@class="intro"]/span[@class="fee"]/text()').extract()[0]
                item['People']=list_item.xpath('./p[@class="user_info"]/span[@class="intro"]/span[@class="people"]/text()').extract()[0]
                item['Views']=list_item.xpath('./p[@class="user_info"]/span[@class="nums"]/span[@class="icon_view"]/span/text()').extract()[0]
                item['Trip']=list_item.xpath('./p[@class="user_info"]/span[@class="intro"]/span[@class="trip"]/text()').extract()[0]
                item['Love']=list_item.xpath('./p[@class="user_info"]/span[@class="nums"]/span[@class="icon_love"]/span/text()').extract()[0]
            except:
                print("出错了")
                continue
            yield item

5.设置管道下载pipelines.py

对于已经返回的数据进行保存到数据库，我们可以开通管道，开通管道，在settings.py中添加参数：

还有设置的参数小，就优先进行执行，这里我是直接在python中添加数据表，然后在表里写入数据，最后保存，记得输入自己数据库连接密码
代码如下：

# Define your item pipelines here
#
# Don't forget to add your pipeline to the ITEM_PIPELINES setting
# See: https://docs.scrapy.org/en/latest/topics/item-pipeline.html


# useful for handling different item types with a single interface
from itemadapter import ItemAdapter

import pymysql
class QunarPipeline:
    def process_item(self, item, spider):
        return item
class QunarMysqlPipeline:
    def process_item(self,item,spider):
        sql_insert="insert into qunar values(%s,%s,%s,%s,%s,%s,%s,%s,%s,%s)"
        self.cur.execute(sql_insert,[item['Title'],item['TravelLink'],item['Date'],item['Days'],\
        item['Photo_Nums'],item['Free'],item['People'],item['Places'],item['Views'],item['Trip']])
        self.db.commit()
        print("++++++++")
        return item
    def open_spider(self,spider):
        self.db=pymysql.connect(host='localhost',user='root',password='你的密码',database='stumis',charset='utf8mb4')
        self.cur=self.db.cursor()
        create_table="create table qunar(标题 varchar(255),旅游链接 varchar(255),日期 varchar(255),\
        天数 varchar(255),照片数量 varchar(255),人均消费 varchar(255),人数 varchar(255),地点 varchar(255),\
        阅览人数 varchar(255),Trip varchar(255))"
        self.cur.execute(create_table)
    def close_spider(self,spider):
        self.db.close()
        self.cur.close()
        print("保存完成")

6.settings.py参数修改

注意，我们需要改：，将True改为False,
接着添加headers参数，user-agent：

总结

在爬取的过程中可能会出一些小bug,我们可以一起探讨