except Exception: return None def get_content(self, html): items = [] # normalize-space ']/dd") for i in all_list: item = Item() item.movie_name = i.xpath("normalize-space //p[@class='name']/a/text())") item.to_star = i.xpath("normalize-space(. //p[@class='star']/text())") item.release_time = i.xpath("normalize-space(. class='score']/i/text()") item.score = x + y item.picture_address = i.xpath("normalize-space
except Exception: return None def get_content(self, html): items = [] # normalize-space item = Item() id += 1 # 自增1 item.id = id item.title = i.xpath("normalize-space //a[@class='opr-toplist1-cut']/text())") item.url = 'https://www.baidu.com' + i.xpath("normalize-space //a[@class='opr-toplist1-cut']/@href)") item.hits = i.xpath("normalize-space(.
itemscope itemtype="h'>, <Selector xpath=u"descendant-or-self::div[@class and contains(concat(' ', normalize-space itemscope itemtype="h'>, <Selector xpath=u"descendant-or-self::div[@class and contains(concat(' ', normalize-space itemscope itemtype="h'>, <Selector xpath=u"descendant-or-self::div[@class and contains(concat(' ', normalize-space itemscope itemtype="h'>, <Selector xpath=u"descendant-or-self::div[@class and contains(concat(' ', normalize-space itemscope itemtype="h'>, <Selector xpath=u"descendant-or-self::div[@class and contains(concat(' ', normalize-space
\n '] 看到输出的结果中标题前后都有很多空格和换行符 使用normalize-space来消除 for tr in trs: #获取标题 title = tr.xpath(" normalize-space(td[2]/div/a/text())") print(title) #输出结果:We Sing. We Steal Things. normalize-space(…):这是一个XPath函数,用于对给定的字符串进行标准化处理,删除字符串前后的空白字符(如空格、换行符等),并将字符串中间的多个连续空白字符替换为一个空格 td[2]/div/p/text()”)[0],使用下标获取第一个元素,变成字符串,然后对字符串进行拆分 for tr in trs: #获取标题 title = tr.xpath("normalize-space 清除空格 #获取评分人数 scoring_number = tr.xpath('normalize-space(td[2]/div/div/span[3]/text())') print(scoring_number
itemscope itemtype...'>, <Selector xpath="descendant-or-self::div[@class and contains(concat(' ', <em>normalize-space</em> itemscope itemtype...'>, <Selector xpath="descendant-or-self::div[@class and contains(concat(' ', normalize-space itemscope itemtype...'>, <Selector xpath="descendant-or-self::div[@class and contains(concat(' ', <em>normalize-space</em> itemscope itemtype...'>, <Selector xpath="descendant-or-self::div[@class and contains(concat(' ', normalize-space itemscope itemtype...'>, <Selector xpath="descendant-or-self::div[@class and contains(concat(' ', <em>normalize-space</em>
2.15 对提取内容中的空格进行规范化处理 在xpath中我们可以使用normalize-space对目标内容中的多余空格进行清洗,其作用是删除文本内容之前和之后的所有\s类的内容,并将文本中夹杂的两个及以上空格转化为单个空格 ,下面比较使用normalize-space前后对提取结果的影响: '''清洗前''' tree.xpath("//p[@class='text-muted']/text()") ? '''清洗后''' tree.xpath("normalize-space(//p[@class='text-muted']/text())") ? 使用normalize-space之后得到的结果更加的规整,可以提高爬取数据的效率。
etree.HTML(htmlcontent) item = Item() # 岗位名 job_name = html_xpath.xpath("normalize-space item.job_name = job_name # 公司名 company_name = html_xpath.xpath("normalize-space item.company_name = company_name # 工作地点 work_place = html_xpath.xpath("normalize-space () item.work_place = work_place # 薪资 salary = html_xpath.xpath("normalize-space ") item.salary = salary # 发布时间 release_time = html_xpath.xpath("normalize-space
normalize-space(string?) 所有在字符串头和尾的空白字符都被移除,或者将字符间两个及以上的空白字符置换成单一空格。
htmlcontent) item = Item() # 岗位名 item.job_name = html_xpath.xpath("normalize-space //div[@class='cn']/h1/text())") # 公司名 item.company_name = html_xpath.xpath("normalize-space /p[@class='cname']/a/text())") # 工作地点 item.work_place = html_xpath.xpath("normalize-space ltype']/text())").split('|')[0].strip() # 薪资 item.salary = html_xpath.xpath("normalize-space [@class='cn']/strong/text())") # 发布时间 item.release_time = html_xpath.xpath("normalize-space
") page.fill("input[name=\"wd\"]", "jingdong") page.click("text=\"京东\"") # Click //a[normalize-space page.expect_navigation(): with page.expect_popup() as popup_info: page.click("//a[normalize-space
/@title').extract() item['phone_id'] = each_id item['phone_name'] = response.xpath('normalize-space /@title').extract() item['phone_id'] = each_id item['phone_name'] = response.xpath('normalize-space
input[name="wd"]") page.fill("input[name="wd"]", "jingdong") page.click("text="京东"") # Click //a[normalize-space with page.expect_navigation(): with page.expect_popup() as popup_info: page.click("//a[normalize-space
input[name="wd"]") page.fill("input[name="wd"]", "jingdong") page.click("text="京东"") # Click //a[normalize-space with page.expect_navigation(): with page.expect_popup() as popup_info: page.click("//a[normalize-space
获取字符串的长度 xpath_expression = 'string-length("Hello World")' # 移除字符串两端的空白字符并压缩中间的空白字符 xpath_expression = 'normalize-space normalize-space():移除字符串两端的空白字符并压缩中间的空白字符。 count():计算节点的数量。 使用XPath解析网页 使用XPath解析网页可以方便地定位和提取需要的数据。
清洗干净以后,我们再使用XPath:normalize-space(string())提取出页面上的文本,把文本发给GPT,就可以正常解析内容了。
image-link']/img[@class='board-img']/@data-src").extract_first() movie['star'] = item.xpath("normalize-space
再用lxml中_element的xpath来将文本内容转化为值 这里要注意的是在我们原有的路径上要加上”/text()”否则识别不出来,其次是用normalize-space将爬取的内容中的空格去除,
class是变量,这个也不能用加号,就要用这个函数做拼接: response.xpath('//div[contains(concat(" ", @class, " "), " test ")]') normalize-space 总之这个是最终的解决方案: response.xpath('//div[contains(concat(" ", normalize-space(@class), " "), " test ")]') /div[@class="news-content"]' '//a[contains(concat(" ", normalize-space(@class), " "), /div[@class="news-content"]' '//a[contains(concat(" ", normalize-space(@class), " "), /div[@class="news-content"]' '//a[contains(concat(" ", normalize-space(@class), " "),
()='登录']:精确文本匹配//a[contains(text(), '忘记密码')]:文本包含//input[starts-with(@id, 'email_')]:ID以指定前缀开头//div[normalize-space ()='登录']:精确文本匹配//a[contains(text(), '忘记密码')]:文本包含//input[starts-with(@id, 'email_')]:ID以指定前缀开头//div[normalize-space
1. quote.css('.text') [<Selector xpath="descendant-or-self::*[@class and contains(concat(' ', <em>normalize-space</em> 2. quote.css('.text::text') [<Selector xpath="descendant-or-self::*[@class and contains(concat(' ', normalize-space