<div class="region size2of3">
<h2>Mumbai</h2>
<strong>Fort</strong>
<div>Elphinstone building, Horniman Circle,</div>
<div>Veer Nariman Road, Fort</div>
<div>Mumbai 400001</div>
<div>Timings: 08:00-00:30 hrs (Mon-Sun)</div>
<div><br></div>
</div>
我想排除&#34;时间:08:00-00:30(周一至周日)&#34;解析时使用div标记。
这是我的代码:
import scrapy
from job.items import StarbucksItem
class StarbucksSpider(scrapy.Spider):
name = "starbucks"
allowed_domains = ["starbucks.in"]
start_urls = ["http://www.starbucks.in/coffeehouse/store-locations/"]
def parse(self, response):
for sel in response.xpath('//div[@class="region size2of3"]'):
item = StarbucksItem()
item['title'] = sel.xpath('div/text()').extract()
yield item
答案 0 :(得分:0)
我会使用starts-with()
XPath function来获取以“Timings”开头的div
元素的文字:
sel.xpath('.//div[starts-with(., "Timings")]/text()').extract()
请注意,页面的HTML结构不容易区分彼此之间的位置 - 没有可以迭代的特定于位置的容器。在这种情况下,我会找到每个h2
或strong
代码并使用following-sibling
,例如来自Scrapy Shell:
In [10]: for sel in response.xpath('//div[contains(@class, "region")]/*[self::h2 or self::strong]'):
name = sel.xpath('text()').extract()[0]
timings = sel.xpath('./following-sibling::div[starts-with(., "Timings")]/text()').extract()[0]
print name, timings
....:
Mumbai Timings: 08:00-00:30 hrs (Mon-Sun)
Fort Timings: 08:00-00:30 hrs (Mon-Sun)
Colaba Timings: 07:00-01:00 hrs (Mon-Sun)
Goregaon Timings: 10:00-23:30 hrs (Mon-Sun)
Powai Timings: 07:00-00:00 hrs (Mon-Sun)
...
Hi-Tech City Timings: 09:00 - 22:30 hrs (Mon - Sun)
Madhapur Timings: 11:00 -23:00 hrs (Mon - Sun)
Banjara Hills Timings: 10:00 -22:30 hrs (Mon - Sun)
另请注意,如果要提取时间范围值,可以使用.re()
:
In [18]: for sel in response.xpath('//div[contains(@class, "region")]/*[self::h2 or self::strong]'):
name = sel.xpath('text()').extract()[0]
timings = sel.xpath('./following-sibling::div[starts-with(., "Timings")]/text()')[0].re(r'(\d+:\d+)\s*\-\s*(\d+:\d+)')[:2]
print name, timings
Mumbai [u'08:00', u'00:30']
Fort [u'08:00', u'00:30']
Colaba [u'07:00', u'01:00']
Goregaon [u'10:00', u'23:30']
...
Hi-Tech City [u'09:00', u'22:30']
Madhapur [u'11:00', u'23:00']
Banjara Hills [u'10:00', u'22:30']
此外,请确保循环体内有yield
(请参阅您发布的代码)。
如果您要排除Timings
并获取其余的位置说明,请使用:
for sel in response.xpath('//div[contains(@class, "region")]/*[self::h2 or self::strong]'):
print " ".join(item.strip() for item in sel.xpath('following-sibling::div[position() < 4 and not(starts-with(., "Timings"))]/text()').extract())