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python - XPath 不指向正确的 HTML 表格元素与迭代器 (Scrapy)

转载 作者:太空宇宙 更新时间:2023-11-04 01:19:27 25 4
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我在使用 XPath 从表中通过 Scrapy 选择 HTML 元素时遇到问题。我使用的示例是来自 Scrapy 网站的非常基本的示例:http://doc.scrapy.org/en/latest/intro/tutorial.html我要解析的网站是 http://www.euroleague.net/main/results/showgame?gamecode=5&gamenumber=1&phasetypecode=RS&seasoncode=E2013#!playbyplay

一开始我用的是这段代码:

from basketbase.items import BasketbaseItem
from scrapy.contrib.spiders import CrawlSpider, Rule
from scrapy.contrib.linkextractors.sgml import SgmlLinkExtractor
from scrapy.selector import HtmlXPathSelector
from scrapy.http import HtmlResponse


class Basketspider(CrawlSpider):
name = "playbyplay"
download_delay = 0.5

allowed_domains = ["www.euroleague.net"]
start_urls = ["http://www.euroleague.net/main/results/showgame?gamenumber=1&phasetypecode=RS&gamecode=4&seasoncode=E2013"]
rules = (
Rule(SgmlLinkExtractor(allow=(),),callback='parse_item',),
)


def parse(self,response):
response = HtmlResponse(url=response.url, status=response.status, headers=response.headers, body=response.body)
return super(Basketspider,self).parse(response)

def parse_item(self, response):
response = HtmlResponse(url=response.url, status=response.status, headers=response.headers, body=response.body)
sel = HtmlXPathSelector(response)

items=[]
item = BasketbaseItem()
item['game_time'] = sel.select('//div[@style="overflow: auto; height: 250px; width: 800px;"]/table/tbody/tr/td[1]/text()').extract() #
item['game_event'] = sel.select('//div[@style="overflow: auto; height: 250px; width: 800px;"]/table/tbody/tr/td[2]/text()').extract() #
item['game_event_res_home'] = sel.select('//div[@style="overflow: auto; height: 250px; width: 800px;"]/table/tbody/tr/td[3]/text()').extract() #
item['game_event_res_visitor'] = sel.select('//div[@style="overflow: auto; height: 250px; width: 800px;"]/table/tbody/tr/td[3]/text()').extract() #
item['game_event_team'] = sel.select('//div[@style="overflow: auto; height: 250px; width: 800px;"]/table/tbody/tr/td[4]/text()').extract() #
item['game_event_player'] = sel.select('//div[@style="overflow: auto; height: 250px; width: 800px;"]/table/tbody/tr/td[5]/text()').extract() #
items.append(item)



return items

嗯,这是基本的,目前规则不是很正确,但这个例子的主要问题是 XPath。

它可以工作,但不是我想要的方式。我希望每个项目只提取每个 tr 的一个 td 值,但使用此代码,它会立即将所有 td 元素提取到项目中。项目 game_event_res_visitor:

'game_event_res_visitor': [u'0-0',
u'0-0',
u'0-0',.......(list goes on and on)

为了得到我想要的结果,我决定使用循环(就像在 Scrapy 教程中一样(http://doc.scrapy.org/en/latest/intro/tutorial.html)),但它根本不返回任何值。这是代码:

def parse(self,response):
response = HtmlResponse(url=response.url, status=response.status, headers=response.headers, body=response.body)
return super(Basketspider,self).parse(response)

def parse_item(self, response):
response = HtmlResponse(url=response.url, status=response.status, headers=response.headers, body=response.body)
sel = HtmlXPathSelector(response)
sites = sel.xpath('//div[@style="overflow: auto; height: 250px; width: 800px;"]/table/tbody/tr')
items=[]
item = BasketbaseItem()
for site in sites:

item = BasketbaseItem()
item['game_time'] = sel.select('td[1]/text()').extract() #
item['game_event'] = sel.select('td[2]/text()').extract() #
item['game_event_res_home'] = sel.select('td[3]/text()').extract() #
item['game_event_res_visitor'] = sel.select('td[3]/text()').extract() #
item['game_event_team'] = sel.select('td[4]/text()').extract() #
item['game_event_player'] = sel.select('td[5]/text()').extract() #
items.append(item)



return items

和终端输出:

2014-03-07 16:57:45+0200 [playbyplay] DEBUG: Scraped from <200 http://www.euroleague.net/main/results/showgame?gamecode=9&gamenumber=1&phasetypecode=RS&seasoncode=E2013>
{'game_event': [],
'game_event_player': [],
'game_event_res_home': [],
'game_event_res_visitor': [],
'game_event_team': [],
'game_time': []}
2014-03-07 16:57:45+0200 [playbyplay] DEBUG: Scraped from <200 http://www.euroleague.net/main/results/showgame?gamecode=9&gamenumber=1&phasetypecode=RS&seasoncode=E2013>
{'game_event': [],
'game_event_player': [],
'game_event_res_home': [],
'game_event_res_visitor': [],
'game_event_team': [],
'game_time': []}

我知道我的 XPath 有问题,但我不明白是什么。如果我在项目元素中使用相对 XPath,它会给出与第一个示例相同的结果。所以它就在那里,但我无法用我拥有的代码访问它。我什至尝试过“通配符”。

    item['game_time'] = sel.select('*/text()').extract() #
item['game_event'] = sel.select('*/text()').extract() #
item['game_event_res_home'] = sel.select('*/text()').extract() #
item['game_event_res_visitor'] = sel.select('*/text()').extract() #
item['game_event_team'] = sel.select('*/text()').extract() #
item['game_event_player'] = sel.select('*/text()').extract() #

它没有得到任何文本结果。

2014-03-07 19:11:14+0200 [playbyplay] DEBUG: Scraped from <200 http://www.euroleague.net/main/results/showgame?gamecode=7&gamenumber=1&phasetypecode=RS&seasoncode=E2013>
{'game_event': [u' \r\n', u'\r\n'],
'game_event_player': [u' \r\n', u'\r\n'],
'game_event_res_home': [u' \r\n', u'\r\n'],
'game_event_res_visitor': [u' \r\n', u'\r\n'],
'game_event_team': [u' \r\n', u'\r\n'],
'game_time': [u' \r\n', u'\r\n']}

我很困惑,我不明白我的 XPath 或我的代码有什么问题。

最佳答案

这是对我有用的:

def parse_item(self, response):
response = HtmlResponse(url=response.url, status=response.status, headers=response.headers, body=response.body)
sel = HtmlXPathSelector(response)

rows = sel.select('//div[@style="overflow: auto; height: 250px; width: 800px;"]/table/tbody/tr')
for row in rows:
item = BasketbaseItem()
item['game_time'] = row.select("td[1]/text()").extract()[0]
item['game_event'] = row.select("td[2]/text()").extract()[0]
result = row.select("td[3]/text()").extract()[0]
item['game_event_res_home'], item['game_event_res_visitor'] = result.split('-')
item['game_event_team'] = row.select("td[4]/text()").extract()[0]
item['game_event_player'] = row.select("td[5]/text()").extract()[0]
yield item

这是我得到的示例项目:

{'game_event': u'Steal',
'game_event_player': u'DJEDOVIC, NIHAD',
'game_event_res_home': u'0 ',
'game_event_res_visitor': u' 0',
'game_event_team': u'FC Bayern Munich',
'game_time': u'2'}

对您来说,这只是一个开始 - 有时项目不会由于 IndexError 异常而产生 - 正确处理它。

希望对您有所帮助。

关于python - XPath 不指向正确的 HTML 表格元素与迭代器 (Scrapy),我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/22257429/

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