创建Scrapy工程：

scrapy startproject weather2

定义Items（items.py）：

import scrapyclass Weather2Item(scrapy.Item):# define the fields for your item here like:# name = scrapy.Field()weatherDate = scrapy.Field()weatherDate2 = scrapy.Field()weatherWea = scrapy.Field()weatherTem1 = scrapy.Field()weatherTem2 = scrapy.Field()weatherWin = scrapy.Field()

编写Spider（spiders/weatherSpider.py）：

import scrapy
from weather2.items import Weather2Item class CatchWeatherSpider(scrapy.Spider):name = 'CatchWeather2'allowed_domains = ['weather.com.cn']start_urls = ["http://www.weather.com.cn/weather/101280101.shtml"]def parse(self, response):for sel in response.xpath('//*[@id="7d"]/ul/li'):item = Weather2Item()item['weatherDate'] = sel.xpath('h1/text()').extract() item['weatherDate2'] = sel.xpath('h2/text()').extract()item['weatherWea'] = sel.xpath('p[@class="wea"]/text()').extract()item['weatherTem1'] = sel.xpath('p[@class="tem tem1"]/span/text()').extract() + sel.xpath('p[@class="tem tem1"]/i/text()').extract()item['weatherTem2'] = sel.xpath('p[@class="tem tem2"]/span/text()').extract() + sel.xpath('p[@class="tem tem2"]/i/text()').extract()item['weatherWin'] = sel.xpath('p[@class="win"]/i/text()').extract()yield item

• name:定义蜘蛛的名字。

• allowed_domains: 包含构成许可域的基础URL，供蜘蛛去爬。

• start_urls: 是一个URL列表，蜘蛛从这里开始爬。蜘蛛从start_urls中的URL下载数据，所有后续的URL将从这些数据中获取。

数据来源是http://www.weather.com.cn/weather/101280101.shtml，101280101是广州的城市编号

这里用到了xpath分析html，感觉好简单

测试运行：

scrapy crawl CatchWeather2

结果片断：

已经拿到我们想要的数据

创建数据库：

CREATE TABLE `yunweiApp_weather` (`id` int(11) NOT NULL AUTO_INCREMENT,`weatherDate` varchar(10) DEFAULT NULL,`weatherDate2` varchar(10) NOT NULL,`weatherWea` varchar(10) NOT NULL,`weatherTem1` varchar(10) NOT NULL,`weatherTem2` varchar(10) NOT NULL,`weatherWin` varchar(10) NOT NULL,`updateTime` datetime NOT NULL,PRIMARY KEY (`id`)
) ENGINE=InnoDB AUTO_INCREMENT=15 DEFAULT CHARSET=utf8;

创建PipeLines（）：

import MySQLdb
import datetimeDEBUG = Trueif DEBUG:dbuser = 'lihuipeng'dbpass = 'lihuipeng'dbname = 'game_main'dbhost = '192.168.1.100'dbport = '3306'
else:dbuser = 'root'dbpass = 'lihuipeng'dbname = 'game_main'dbhost = '127.0.0.1'dbport = '3306'class MySQLStorePipeline(object):def __init__(self):self.conn = MySQLdb.connect(user=dbuser, passwd=dbpass, db=dbname, host=dbhost, charset="utf8", use_unicode=True)self.cursor = self.conn.cursor()#清空表：self.cursor.execute("truncate table yunweiApp_weather;")self.conn.commit() def process_item(self, item, spider): curTime =  datetime.datetime.now()  try:self.cursor.execute("""INSERT INTO yunweiApp_weather (weatherDate, weatherDate2, weatherWea, weatherTem1, weatherTem2, weatherWin, updateTime)  VALUES (%s, %s, %s, %s, %s, %s, %s)""", (item['weatherDate'][0].encode('utf-8'), item['weatherDate2'][0].encode('utf-8'),item['weatherWea'][0].encode('utf-8'),item['weatherTem1'][0].encode('utf-8'),item['weatherTem2'][0].encode('utf-8'),item['weatherWin'][0].encode('utf-8'),curTime,))self.conn.commit()except MySQLdb.Error, e:print "Error %d: %s" % (e.args[0], e.args[1])return item

修改setting.py启用pipelines：

ITEM_PIPELINES = {#'weather2.pipelines.Weather2Pipeline': 300,'weather2.pipelines.MySQLStorePipeline': 400,
}

后面的数字只是一个权重，范围在0-1000内即可

重新测试运行：

scrapy crawl CatchWeather2

结果：

结合运维后台随便展示一下：

搞完收工~~