无法通过使用scrapy和css在中遍历进行刮取

html代码如下：

<td class="column-3">
                                (price per 1,000 images)<br>
0-1M images                                    -
<span class="price-data " data-amount="{&quot;regional&quot;:{&quot;asia-pacific-southeast&quot;:0.5,&quot;australia-east&quot;:0.5,&quot;brazil-south&quot;:0.5,&quot;canada-central&quot;:0.5,&quot;central-india&quot;:0.5,&quot;europe-north&quot;:0.5,&quot;europe-west&quot;:0.5,&quot;united-kingdom-south&quot;:0.5,&quot;us-east&quot;:0.5,&quot;us-east-2&quot;:0.5,&quot;us-south-central&quot;:0.5,&quot;us-west-2&quot;:0.5,&quot;us-west-central&quot;:0.5}}" data-decimals="3" data-decimals-force="0" data-region-unavailable="N/A" data-has-valid-price="true">$0.50</span>                                    <br>
1M-5M images                                    -
<span class="price-data " data-amount="{&quot;regional&quot;:{&quot;asia-pacific-southeast&quot;:0.4,&quot;australia-east&quot;:0.4,&quot;brazil-south&quot;:0.4,&quot;canada-central&quot;:0.4,&quot;central-india&quot;:0.4,&quot;europe-north&quot;:0.4,&quot;europe-west&quot;:0.4,&quot;united-kingdom-south&quot;:0.4,&quot;us-east&quot;:0.4,&quot;us-east-2&quot;:0.4,&quot;us-south-central&quot;:0.4,&quot;us-west-2&quot;:0.4,&quot;us-west-central&quot;:0.4}}" data-decimals="3" data-decimals-force="0" data-region-unavailable="N/A" data-has-valid-price="true">$0.40</span>                                    <br>
5M+ images                                    -
<span class="price-data " data-amount="{&quot;regional&quot;:{&quot;asia-pacific-southeast&quot;:0.325,&quot;australia-east&quot;:0.325,&quot;brazil-south&quot;:0.325,&quot;canada-central&quot;:0.325,&quot;central-india&quot;:0.325,&quot;europe-north&quot;:0.325,&quot;europe-west&quot;:0.325,&quot;united-kingdom-south&quot;:0.325,&quot;us-east&quot;:0.325,&quot;us-east-2&quot;:0.325,&quot;us-south-central&quot;:0.325,&quot;us-west-2&quot;:0.325,&quot;us-west-central&quot;:0.325}}" data-decimals="3" data-decimals-force="0" data-region-unavailable="N/A" data-has-valid-price="true">$0.325</span>                                    <br>
                            </td>

网址：

如何遍历和刮取数据？我想将td标签拆分为countbr次，然后刮取。我不想使用xpath。我想通过css得到结果

dumb = 'Your response, or above text'
html_dumb = Selector(text=dumb)
td_vals = [x.strip().strip('- ') for x in 
html_dumb.xpath("//td/text()").extract() if x.strip()]   #got all td values
f_val = td_vals[0] # seperate the first one. here (price per 1,000 images)
td_vals = td_vals[1:]
span_vals = [x.strip() for x in html_dumb.xpath("//span/@data-amount").extract() if x.strip()]    #got all span data, you can also get span text if you need
inner_json = {}
result = {}

for td_val, span_val in zip(td_vals, span_vals):
    d[td_val] = json.loads(span_val)    #building inner dictionary

result[f_val] = d   #append in outer one

---

{u'每1000张图片的价格：{u'5M+图片：{u'区域'：{u'英国-南部：0.325，u'欧洲-北部：0.325，u'巴西-南部：0.325，u'us-west-2'：0.325，u'us-south-central:0.325，u'central-india'：0.325，u'us-east'：0.325，u'canada-central'：0.325，u'europe-west:0.325，u'us-east-2'：0.325，u'us-west-central'：0.325，u'asia-pacific-south:0.325，u'east-australia'：0.325:1M'{u'地区'：{u'英国-南'：0.5，u'欧洲-北'：0.5，u'巴西-南'：0.5，u'us-west-2'：0.5，u'us-south-central'：0.5，u'us-east'：0.5，u'canada-central'：0.5，u'europe-west'：0.5，u'us-east-2'：0.5，u'us-west-central'：0.5，u'asia-pacific-south'：0.5，u'australia-east'：0.5，u's-east:5M''{u'regional'：{u'united kingdom-south'：0.4，u'europe-north'：0.4，u'brazil-south'：0.4，u'us-west-2'：0.4，u'us-south-central'：0.4，u'us-east'：0.4，u'canada-central'：0.4，u'europe-west'：0.4，u'us-east-2'：0.4，u'us-west-central'：0.4，u'asia-pacific-south'：0.4，u'australia-east'

完全不清楚您想要的是什么。CSS无法“拆分”任何内容，也无法“查找匹配项”。请您澄清您试图检索的数据是什么？或者您只是问是否可以遍历br？我希望o/p如下：-{“每1000张图像的价格”：{“0-1M张图像”：{“德国中部”：0.009，“英国南部”：0.01，“欧洲北部”：0.008，“美国东部-2”：0.009，}，“100万至500万张图片”：{‘德国中部’：0.009，‘英国南部’：0.01，‘欧洲北部’：0.008，‘美国东部’：0.009，‘亚太东部’：0.01，‘英国西部’：0.01}，'5M+图像：{‘德国中部’：0.009，‘英国南部’：0.01，‘欧洲北部’：0.008}}