def _parse_features(self, response):
features = []
features_name = response.xpath(
'//ul[@id="productSpecsContainer"]'
'/li//label[contains(@for, "product_spec")]/text()').extract()
for f_name in features_name:
f_content = response.xpath('//ul[@id="productSpecsContainer"]'
'/li/div[contains(@id, "product_spec")]'
'/*[@aria-label="%s"]'
'//text()' % f_name).extract()
f_content = clean_list(self, f_content)
if len(f_content) > 1:
f_content_title = response.xpath(
'//ul[@id="productSpecsContainer"]'
'/li/div[contains(@id, "product_spec")]'
'/*[@aria-label="%s"]'
'//span[@class="strong"]/text()' % f_name).extract()
f_content_title = clean_list(self, f_content_title)
f_content_text = response.xpath(
'//ul[@id="productSpecsContainer"]'
'/li/div[contains(@id, "product_spec")]'
'/*[@aria-label="%s"]'
'//span[not(contains(@class,"strong"))]'
'/text()' % f_name).extract()
f_content_text = clean_list(self, f_content_text)
for f_c_title in f_content_title:
index = f_content_title.index(f_c_title)
feature = {
f_c_title.replace(":", ""): f_content_text[index]
}
features.append(feature)
else:
f_content = f_content[0]
f_content = clean_text(self, f_content)
feature = {f_name: f_content}
features.append(feature)
return features
def _parse_features(self, response):
features = []
features_name = response.xpath('//span[@class="ppdefaultbold"]/text()').extract()
features_value = response.xpath('//div[@class="sumCont"]//li/text()').extract()
features_value = clean_list(self, features_value)
for f_name in features_name:
index = features_name.index(f_name)
feature = {f_name: features_value[index]}
features.append(feature)
return features
def _parse_features(self, response):
features = []
features_name = response.xpath('//div[contains(@data-ccs-cc-inline-acc-idm, "specification")]'
'//td[contains(@class, "specification-attribute")]/text()').extract()
features_value = response.xpath('//div[contains(@data-ccs-cc-inline-acc-idm, "specification")]'
'//td[not(contains(@class, "specification-attribute"))]/text()').extract()
features_value = clean_list(self, features_value)
for f_name in features_name:
index = features_name.index(f_name)
feature = {f_name: features_value[index]}
features.append(feature)
return features
def _parse_features(self, response):
features = []
features_name = response.xpath('//ul[@id="productSpecsContainer"]'
'/li//label[contains(@for, "product_spec")]/text()').extract()
for f_name in features_name:
f_content = response.xpath('//ul[@id="productSpecsContainer"]'
'/li/div[contains(@id, "product_spec")]'
'/*[@aria-label="%s"]'
'//text()' % f_name).extract()
f_content = clean_list(self, f_content)
if len(f_content) > 1:
f_content_title = response.xpath('//ul[@id="productSpecsContainer"]'
'/li/div[contains(@id, "product_spec")]'
'/*[@aria-label="%s"]'
'//span[@class="strong"]/text()' % f_name).extract()
f_content_title = clean_list(self, f_content_title)
f_content_text = response.xpath('//ul[@id="productSpecsContainer"]'
'/li/div[contains(@id, "product_spec")]'
'/*[@aria-label="%s"]'
'//span[not(contains(@class,"strong"))]'
'/text()' % f_name).extract()
f_content_text = clean_list(self, f_content_text)
for f_c_title in f_content_title:
index = f_content_title.index(f_c_title)
feature = {f_c_title.replace(":", ""): f_content_text[index]}
features.append(feature)
else:
f_content = f_content[0]
f_content = clean_text(self, f_content)
feature = {f_name: f_content}
features.append(feature)
return features
def _parse_features(self, response):
features = []
features_name = response.xpath(
'//div[@class="summaryContainer"]//td[@class="hdr"]/text()'
).extract()
features_value = response.xpath(
'//div[@class="summaryContainer"]//td[@class="value"]/text()'
).extract()
features_value = clean_list(self, features_value)
for f_name in features_name:
index = features_name.index(f_name)
feature = {f_name: features_value[index]}
features.append(feature)
return features
def _parse_features(self, response):
features = []
features_name = response.xpath(
'//div[contains(@data-ccs-cc-inline-acc-idm, "specification")]'
'//td[contains(@class, "specification-attribute")]/text()'
).extract()
features_value = response.xpath(
'//div[contains(@data-ccs-cc-inline-acc-idm, "specification")]'
'//td[not(contains(@class, "specification-attribute"))]/text()'
).extract()
features_value = clean_list(self, features_value)
for f_name in features_name:
index = features_name.index(f_name)
feature = {f_name: features_value[index]}
features.append(feature)
return features