我正在测试我的手艺,用scrapy刮。到目前为止的进展让我兴奋不已,我有一个问题,源网站的数据模型似乎与我目前的粗糙输出不一致。
Source提供类别、类型和URL数据--每个类别包含多个类型,并且每个类型都有一个URL。
我希望得到一个输出来维护数据的嵌套,其中每一行都与类别、类型和URL分组相关联。
XLM和CSV输出都提供唯一的类别,但在每个类别行的列中保存所有后续的类型和url数据。
源/示例站点:
<div class="box">
<div class="coin-img coin-imgfile--9999 coin-img-3"></div>
<div class="coin-heading">
<h3>Half-Cents and Cents</h3>
</div>
<ul>
<li><a href="/auctionprices/category/liberty-cap-half-cent-1793-1797/34">Liberty Cap Half Cent (1793-1797)</a></li>
<li><a href="/auctionprices/category/draped-bust-half-cent-1800-1808/653">Draped Bust Half Cent (1800-1808)</a></li>
<li><a href="/auctionprices/category/classic-head-half-cent-1809-1836/654">Classic Head Half Cent (1809-1836)</a></li>
</ul>
</div>
<div class="box">
<div class="coin-img coin-imgfile--9999 coin-img-5"></div>
<div class="coin-heading">
<h3>Two and Three Cents</h3>
</div>
<ul>
<li><a href="/auctionprices/category/two-cent-1864-1873/670">Two Cent (1864-1873)</a></li>
<li><a href="/auctionprices/category/three-cent-silver-1851-1873/77">Three Cent Silver (1851-1873)</a></li>
<li><a href="/auctionprices/category/three-cent-nickel-1865-1889/671">Three Cent Nickel (1865-1889)</a></li>
</ul>
</div>工作爬虫抓取所有必要的数据,但没有按照需要格式化:
import scrapy
class PCGSSpider(scrapy.Spider):
name = "pcgs_spider"
custom_settings = {
'FEED_FORMAT': 'xml',
'FEED_URI': 'pcgsspider.xml'
}
start_urls = ['abovesample.html']
def parse(self, response):
SET_SELECTOR = '.box'
for pcgs in response.css(SET_SELECTOR):
CAT_SELECTOR = 'h3 ::text'
TYPE_SELECTOR = './/ul/li/a/text()'
URL_SELECTOR = './/ul/li/a/@href'
yield {
'categories': pcgs.css(CAT_SELECTOR).extract(),
'types': pcgs.xpath(TYPE_SELECTOR).extract(),
'type_url': pcgs.xpath(URL_SELECTOR).extract(),
}XML显示正确的数据,但不是嵌套在每个URL及其类型和类型及其类别中
-<item>
-<categories>
<value>Half-Cents and Cents</value>
</categories>
-<types>
<value>Liberty Cap Half Cent (1793-1797)</value>
<value>Draped Bust Half Cent (1800-1808)</value>
<value>Classic Head Half Cent (1809-1836)</value>
</types>
-<type_url>
<value>/auctionprices/category/lincoln-cent-wheat-reverse-1909-1958/46</value>
<value>/auctionprices/category/lincoln-cent-modern-1959-date/47</value>
<value>/auctionprices/category/lincoln-cent-modern-1959-date/47</value>
</type_url>
</item>这一切都是新的,所以请原谅我的无知--似乎某种程度的迭代可以解决这个问题,尽管我不清楚是否在我的爬行器中是解决问题的最佳位置,因为数据和结构的核心是完整的。
https://stackoverflow.com/questions/56316656
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