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" alt="" />

编辑qunaer.py:

# -*- coding: utf-8 -*-
import scrapy from QuNaEr.items import QunaerItem class QunaerSpider(scrapy.Spider):
name = 'qunaer'
allowed_domains = ['piao.qunar.com']
start_urls = ['http://piao.qunar.com/daytrip/list.htm'] def parse(self, response):
ticket_list = response.xpath(".//*[@id='search-list']/div/div")
for i_item in ticket_list:
ticket = QunaerItem()
ticket["picture_url"] = i_item.xpath(".//div[1]/div[2]/a/img/@data-original").extract_first()
ticket["name"] = i_item.xpath(".//div[2]/h3/a/text()").extract_first()
ticket["city"] = i_item.xpath(".//div[2]/div/div[1]/span/text()").extract_first()
ticket["money"] = i_item.xpath(".//div[3]/table/tr[1]/td/span/em/text()").extract_first()
# 当爬取table表格的内容时,浏览器会在table标签下添加tbody
# 使用scrapy时需要把xpath中的tbody去掉
ticket["volume"] = i_item.xpath(".//div[4]/span/span[1]/text()").extract_first()
ticket["score"] = i_item.xpath(".//div[4]/span/span[3]/text()").extract_first()
yield ticket next_link = response.xpath(".//*[@id='pager-container']/div/a[9]/@href").extract_first()
if next_link is not None:
next_link = response.urljoin(next_link)
yield scrapy.Request(next_link, callback=self.parse)

编辑items.py:

# -*- coding: utf-8 -*-

# Define here the models for your scraped items
#
# See documentation in:
# https://doc.scrapy.org/en/latest/topics/items.html import scrapy class QunaerItem(scrapy.Item):
# define the fields for your item here like:
# name = scrapy.Field() picture_url = scrapy.Field()
# 门票的图片地址
name = scrapy.Field()
# 门票的名称
city = scrapy.Field()
# 门票的出发地
money = scrapy.Field()
# 门票的价格
volume = scrapy.Field()
# 门票的销量
score = scrapy.Field()
# 用户点评分数

新建MongoPipeline.py:

import pymongo

class MongoPipeline(object):
def __init__(self):
host = "192.168.1.23" # 地址
port = 27017 # 端口号
dbname = "scrapy" # 数据库名称
sheetname = "qunaer" # 表
client = pymongo.MongoClient(host=host, port=port)
# 连接MongoDB
mydb = client[dbname]
# 连接数据库
self.post = mydb[sheetname]
# 连接表 def process_item(self, item, spider):
data = dict(item)
# 转换成字典
self.post.insert(data)
# 插入数据
return item

修改settings.py配置文件:

# Configure item pipelines
# See https://doc.scrapy.org/en/latest/topics/item-pipeline.html
ITEM_PIPELINES = {
# 'QuNaEr.pipelines.QunaerPipeline': 300,
'QuNaEr.MongoPipeline.MongoPipeline': 300,
}
# 启用pipeline

scrapy crawl qunaer

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