Python 从scrapy中的href标记提取完整URL
我正在尝试使用scrapy来从本网站提供的服务中刮取URL 这是我尝试的代码:Python 从scrapy中的href标记提取完整URL,python,web-scraping,scrapy,Python,Web Scraping,Scrapy,我正在尝试使用scrapy来从本网站提供的服务中刮取URL 这是我尝试的代码: url = response.css('a[data-tracking="click_body"]::attr(href)').extract() 但我的代码返回的内容与URL非常不同。 这是我感兴趣的div的HTML代码 <div class="offer-item-details"> <header class="
url = response.css('a[data-tracking="click_body"]::attr(href)').extract()
但我的代码返回的内容与URL非常不同。
这是我感兴趣的div的HTML代码
<div class="offer-item-details">
<header class="offer-item-header">
<h3>
<a href="https://www.otodom.pl/oferta/gdansk-pod-inwestycje-cicha-lokalizacja-ID46DXu.html#ab04badaa0" data-tracking="click_body" data-tracking-data="{"touch_point_button":"title"}" data-featured-name="promo_top_ads">
<strong class="visible-xs-block">42 m²</strong>
<span class="text-nowrap">
<span class="offer-item-title">Gdańsk/ Pod Inwestycje/ Cicha Lokalizacja</span>
</span>
</a>
</h3>
<p class="text-nowrap"><span class="hidden-xs">Mieszkanie na sprzedaż: </span>Gdańsk, Ujeścisko-Łostowice, Łostowice</p>
<div class="vas-list-no-offer">
<a class="button-observed observe-link favourites-button observed-text svg-heart add-to-favourites" data-statkey="ad.observed.list" rel="nofollow" data-id="60688916" href="#" title="Obserwuj">
<div class="observed-text-container" style="display: flex;">
<span class="icon observed-60688916"></span>
<i class="icon-heart-filled"></i>
<div class="observed-label">Dodaj do ulubionych</div>
</div>
</a>
</div>
</header>
<ul class="params
" data-tracking="click_body" data-tracking-data="{"touch_point_button":"body"}">
<li class="offer-item-rooms hidden-xs">2 pokoje</li>
<li class="offer-item-price">
346 000 zł </li>
<li class="hidden-xs offer-item-area">42 m²</li>
<li class="hidden-xs offer-item-price-per-m">8 238 zł/m²</li>
</ul>
</div>
Mieszkanie na sprzedaż
- 2 pokoje
-
346000兹罗
- 42平方米
- 8 238 zł/m²
复制了该标记的选择器:
#offer-item-ad_id45Wog>div.offer-item-details>header>h3>a
复制的xPath
//*[@id=“offer-item-ad_id45Wog”]/div[1]/header/h3/a
复制了完整的xPath
/html/body/div[3]/main/section[2]/div/div/div[1]/div/article[1]/div[1]/header/h3/a您的代码提供了URL列表。本例中的extract()方法获取一个列表。要允许scrapy提取数据,必须执行for循环和yield语句
url = response.css('a[data-tracking="click_body"]::attr(href)').extract()
for a in url:
yield{'url', a}