如何使用scrapy对每个href进行爬行

我如何使用scrapy爬行到每个href？我只知道如何显示它，但我希望能够进入每个链接 . 这是我们的Intranet数据，因此您无法访问这些链接 . 另外，如何在数据显示在文件中时格式化日期？我是否需要在start_url中添加网址列表？我是否需要将initSpider更改为crawlSpider？

<row>
<cell type="href" href="/dis/packages.jsp?view=list&show=perdevice&device_gid=6F5941585835587177572B3465656A61496B76747A673D3D54766B47446C376A77555A72624237756330506755673D3D&hwdid=353918053831794&mdn=14256238845&subscrbid=310260548400764&maxlength=100">14256238845</cell>
<cell type="href" href="/dis/packages.jsp?view=list&show=perdevice&device_gid=6F5941585835587177572B3465656A61496B76747A673D3D54766B47446C376A77555A72624237756330506755673D3D&hwdid=353918053831794&subscrbid=310260548400764&mdn=14256238845&maxlength=100">353918053831794</cell>
<cell type="href" href="/dis/packages.jsp?view=list&show=perdevice&device_gid=6F5941585835587177572B3465656A61496B76747A673D3D54766B47446C376A77555A72624237756330506755673D3D&hwdid=353918053831794&subscrbid=310260548400764&mdn=14256238845&maxlength=100">310260548400764</cell>
<cell type="href" href="/dis/packages.jsp?view=timeline&show=perdevice&device_gid=6F5941585835587177572B3465656A61496B76747A673D3D54766B47446C376A77555A72624237756330506755673D3D&hwdid=353918053831794&subscrbid=310260548400764&mdn=14256238845&maxlength=100&date=20130423T020032243">2013-04-23 02:00:32.243</cell>
<cell type="plain">2013-04-23 02:00:32.243</cell>
<cell type="plain">3 - PackageCreation</cell>
<cell type="href" href="/dis/profile_download?profileId=400006">400006</cell>
<cell type="href" href="/dis/sessions.jsp?view=list&device_gid=6F5941585835587177572B3465656A61496B76747A673D3D54766B47446C376A77555A72624237756330506755673D3D&hwdid=353918053831794&mdn=14256238845&subscrbid=310260548400764&maxlength=100">view sessions</cell>
<cell type="href" href="/dis/errors_agg.jsp?view=list&device_gid=6F5941585835587177572B3465656A61496B76747A673D3D54766B47446C376A77555A72624237756330506755673D3D&hwdid=353918053831794&mdn=14256238845&subscrbid=310260548400764&maxlength=100">view errors</cell>
</row>

这是我到目前为止它打印的一切

from scrapy.contrib.spiders.init import InitSpider
from scrapy.http import Request, FormRequest
from scrapy.contrib.linkextractors.sgml import SgmlLinkExtractor
from scrapy.contrib.spiders import Rule

from scrapy.spider import BaseSpider
from scrapy.selector import HtmlXPathSelector

from scrapy.selector import XmlXPathSelector

from carrier.items import CarrierItem

class CarrierSpider(InitSpider):
    name = 'dis'
    allowed_domains = ['qvpweb01.ciq.labs.att.com']
    login_page = 'https://qvpweb01.ciq.labs.att.com:8080/dis/login.jsp'
    start_urls = ["https://qvpweb01.ciq.labs.att.com:8080/dis/"]

    def init_request(self):
    #"""This function is called before crawling starts."""
    return Request(url=self.login_page, callback=self.login)

    def login(self, response):
    #"""Generate a login request."""
    return FormRequest.from_response(response,
            formdata={'txtUserName': 'myuser', 'txtPassword': 'xxxx'},
            callback=self.check_login_response)

    def check_login_response(self, response):
    #"""Check the response returned by a login request to see if we aresuccessfully logged in."""
    if "logout" in response.body:
        self.log("\n\n\nSuccessfully logged in. Let's start crawling!\n\n\n")
        # Now the crawling can begin..

        return self.initialized() 

    else:
        self.log("\n\n\nFailed, Bad password :(\n\n\n")
        # Something went wrong, we couldn't log in, so nothing happens.


    def parse(self, response):
    xhs = XmlXPathSelector(response)
    columns = xhs.select('//table[3]/row/cell')
    for column in columns:
        item = CarrierItem()
        item['title'] = column.select('.//text()').extract()
        item['link'] = column.select('.//@href').extract()
        yield item

输出我从下面的csv文件：

14256238845
3.53918E+14
3.10261E+14
00:32.2
00:32.2
3 - PackageCreation
400006
view sessions
view errors

渴望从csv输出，我想在下面得到：

14256238845
353918053831794
310260548400764
2013-04-23 02:00:32.243
2013-04-23 02:00:32.243
3 - PackageCreation
400006
view sessions
view errors