我正在尝试编写爬网蜘蛛来抓取网站的RSS源,然后解析文章的元标记。
第一个RSS页面是显示RSS类别的页面。我设法提取链接,因为标记位于标记中。它看起来像这样:
<tr>
<td class="xmlLink">
<a href="http://feeds.example.com/subject1">subject1</a>
</td>
</tr>
<tr>
<td class="xmlLink">
<a href="http://feeds.example.com/subject2">subject2</a>
</td>
</tr>
点击该链接后,它会为您显示该类别的文章,如下所示:
<li class="regularitem">
<h4 class="itemtitle">
<a href="http://example.com/article1">article1</a>
</h4>
</li>
<li class="regularitem">
<h4 class="itemtitle">
<a href="http://example.com/article2">article2</a>
</h4>
</li>
正如您所看到的,如果我使用标记,我可以再次获得与xpath的链接 我希望我的抓取工具转到该标记内的链接并为我解析元标记。
这是我的抓取代码:
from scrapy.contrib.spiders import CrawlSpider, Rule
from scrapy.contrib.linkextractors.sgml import SgmlLinkExtractor
from scrapy.selector import HtmlXPathSelector
from tutorial.items import exampleItem
class MetaCrawl(CrawlSpider):
name = 'metaspider'
start_urls = ['http://example.com/tools/rss'] # urls from which the spider will start crawling
rules = [Rule(SgmlLinkExtractor(restrict_xpaths=('//td[@class="xmlLink"]')), follow=True),
Rule(SgmlLinkExtractor(restrict_xpaths=('//h4[@class="itemtitle"]')), callback='parse_articles')]
def parse_articles(self, response):
hxs = HtmlXPathSelector(response)
meta = hxs.select('//meta')
items = []
for m in meta:
item = exampleItem()
item['link'] = response.url
item['meta_name'] =m.select('@name').extract()
item['meta_value'] = m.select('@content').extract()
items.append(item)
return items
但是,这是我运行抓取工具时的输出:
DEBUG: Crawled (200) <GET http://http://feeds.example.com/subject1> (referer: http://example.com/tools/rss)
DEBUG: Crawled (200) <GET http://http://feeds.example.com/subject2> (referer: http://example.com/tools/rss)
我在这里做错了什么?我一遍又一遍地阅读文档,但我觉得我一直在忽略一些东西。任何帮助将不胜感激。
编辑:已添加:items.append(item)。在原帖中忘记了它。 编辑::我也试过这个,结果输出相同:
from scrapy.contrib.spiders import CrawlSpider, Rule
from scrapy.contrib.linkextractors.sgml import SgmlLinkExtractor
from scrapy.selector import HtmlXPathSelector
from reuters.items import exampleItem
from scrapy.http import Request
class MetaCrawl(CrawlSpider):
name = 'metaspider'
start_urls = ['http://example.com/tools/rss'] # urls from which the spider will start crawling
rules = [Rule(SgmlLinkExtractor(allow=[r'.*',], restrict_xpaths=('//td[@class="xmlLink"]')), follow=True),
Rule(SgmlLinkExtractor(allow=[r'.*'], restrict_xpaths=('//h4[@class="itemtitle"]')),follow=True),]
def parse(self, response):
hxs = HtmlXPathSelector(response)
meta = hxs.select('//td[@class="xmlLink"]/a/@href')
for m in meta:
yield Request(m.extract(), callback = self.parse_link)
def parse_link(self, response):
hxs = HtmlXPathSelector(response)
meta = hxs.select('//h4[@class="itemtitle"]/a/@href')
for m in meta:
yield Request(m.extract(), callback = self.parse_again)
def parse_again(self, response):
hxs = HtmlXPathSelector(response)
meta = hxs.select('//meta')
items = []
for m in meta:
item = exampleItem()
item['link'] = response.url
item['meta_name'] = m.select('@name').extract()
item['meta_value'] = m.select('@content').extract()
items.append(item)
return items
答案 0 :(得分:2)
您已返回空items
,需要将item
追加到items
。
你也可以在循环中yield item
。