小編給大家分享一下python3解析html的方法，希望大家閱讀完這篇文章后大所收獲，下面讓我們一起去探討吧！
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解析html是爬蟲后的重要的一個處理數(shù)據(jù)的環(huán)節(jié)。一下記錄解析html的幾種方式。
先介紹基礎的輔助函數(shù)，主要用于獲取html并輸入解析后的結束。
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重慶分公司
#把傳遞解析函數(shù)，便于下面的修改
def get_html(url, paraser=bs4_paraser):
headers = {
'Accept': '*/*',
'Accept-Encoding': 'gzip, deflate, sdch',
'Accept-Language': 'zh-CN,zh;q=0.8',
'Host': 'www.360kan.com',
'Proxy-Connection': 'keep-alive',
'User-Agent': 'Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/52.0.2743.116
Safari/537.36'
}
request = urllib2.Request(url, headers=headers)
response = urllib2.urlopen(request)
response.encoding = 'utf-8'
if response.code == 200:
data = StringIO.StringIO(response.read())
gzipper = gzip.GzipFile(fileobj=data)
data = gzipper.read()
value = paraser(data) # open('E:/h6/haPkY0osd0r5UB.html').read()
return value
else:
pass
value = get_html('http://www.360kan.com/m/haPkY0osd0r5UB.html', paraser=lxml_parser)
for row in value:
print row1、lxml.html的方式進行解析。
The lxml XML toolkit is a Pythonic binding for the C libraries libxml2 and libxslt. It is unique in that it combines the speed and XML feature completeness of these libraries with the simplicity of a native Python API, mostly compatible but superior to the well-known ElementTree API. The latest release works with all CPython versions from 2.6 to 3.5. See the introduction for more information about background and goals of the lxml project. Some common questions are answered in the FAQ. [官網(wǎng)](http://lxml.de/)
def lxml_parser(page):
data = []
doc = etree.HTML(page)
all_div = doc.xpath('//div[@class="yingping-list-wrap"]')
for row in all_div:
# 獲取每一個影評，即影評的item
all_div_item = row.xpath('.//div[@class="item"]') # find_all('div', attrs={'class': 'item'})
for r in all_div_item:
value = {}
# 獲取影評的標題部分
title = r.xpath('.//div[@class="g-clear title-wrap"][1]')
value['title'] = title[0].xpath('./a/text()')[0]
value['title_href'] = title[0].xpath('./a/@href')[0]
score_text = title[0].xpath('./div/span/span/@style')[0]
score_text = re.search(r'\d+', score_text).group()
value['score'] = int(score_text) / 20
# 時間
value['time'] = title[0].xpath('./div/span[@class="time"]/text()')[0]
# 多少人喜歡
value['people'] = int(
re.search(r'\d+', title[0].xpath('./div[@class="num"]/span/text()')[0]).group())
data.append(value)
return data2、使用BeautifulSoup，不多說了，大家網(wǎng)上找資料看看。
def bs4_paraser(html):
all_value = []
value = {}
soup = BeautifulSoup(html, 'html.parser')
# 獲取影評的部分
all_div = soup.find_all('div', attrs={'class': 'yingping-list-wrap'}, limit=1)
for row in all_div:
# 獲取每一個影評，即影評的item
all_div_item = row.find_all('div', attrs={'class': 'item'})
for r in all_div_item:
# 獲取影評的標題部分
title = r.find_all('div', attrs={'class': 'g-clear title-wrap'}, limit=1)
if title is not None and len(title) > 0:
value['title'] = title[0].a.string
value['title_href'] = title[0].a['href']
score_text = title[0].div.span.span['style']
score_text = re.search(r'\d+', score_text).group()
value['score'] = int(score_text) / 20
# 時間
value['time'] = title[0].div.find_all('span', attrs={'class': 'time'})[0].string
# 多少人喜歡
value['people'] = int(
re.search(r'\d+', title[0].find_all('div', attrs={'class': 'num'})[0].span.string).group())
# print r
all_value.append(value)
value = {}
return all_value3、使用SGMLParser，主要是通過start、end tag的方式進行，解析工程比較明朗，但是有點麻煩，而該案例的場景不太適合該方法。
class CommentParaser(SGMLParser):
def __init__(self):
SGMLParser.__init__(self)
self.__start_div_yingping = False
self.__start_div_item = False
self.__start_div_gclear = False
self.__start_div_ratingwrap = False
self.__start_div_num = False
# a
self.__start_a = False
# span 3中狀態(tài)
self.__span_state = 0
# 數(shù)據(jù)
self.__value = {}
self.data = []
def start_div(self, attrs):
for k, v in attrs:
if k == 'class' and v == 'yingping-list-wrap':
self.__start_div_yingping = True
elif k == 'class' and v == 'item':
self.__start_div_item = True
elif k == 'class' and v == 'g-clear title-wrap':
self.__start_div_gclear = True
elif k == 'class' and v == 'rating-wrap g-clear':
self.__start_div_ratingwrap = True
elif k == 'class' and v == 'num':
self.__start_div_num = True
def end_div(self):
if self.__start_div_yingping:
if self.__start_div_item:
if self.__start_div_gclear:
if self.__start_div_num or self.__start_div_ratingwrap:
if self.__start_div_num:
self.__start_div_num = False
if self.__start_div_ratingwrap:
self.__start_div_ratingwrap = False
else:
self.__start_div_gclear = False
else:
self.data.append(self.__value)
self.__value = {}
self.__start_div_item = False
else:
self.__start_div_yingping = False
def start_a(self, attrs):
if self.__start_div_yingping and self.__start_div_item and self.__start_div_gclear:
self.__start_a = True
for k, v in attrs:
if k == 'href':
self.__value['href'] = v
def end_a(self):
if self.__start_div_yingping and self.__start_div_item and self.__start_div_gclear and self.__start_a:
self.__start_a = False
def start_span(self, attrs):
if self.__start_div_yingping and self.__start_div_item and self.__start_div_gclear:
if self.__start_div_ratingwrap:
if self.__span_state != 1:
for k, v in attrs:
if k == 'class' and v == 'rating':
self.__span_state = 1
elif k == 'class' and v == 'time':
self.__span_state = 2
else:
for k, v in attrs:
if k == 'style':
score_text = re.search(r'\d+', v).group()
self.__value['score'] = int(score_text) / 20
self.__span_state = 3
elif self.__start_div_num:
self.__span_state = 4
def end_span(self):
self.__span_state = 0
def handle_data(self, data):
if self.__start_a:
self.__value['title'] = data
elif self.__span_state == 2:
self.__value['time'] = data
elif self.__span_state == 4:
score_text = re.search(r'\d+', data).group()
self.__value['people'] = int(score_text)
pass
def sgl_parser(html):
parser = CommentParaser()
parser.feed(html)
return parser.data4、HTMLParaer，與3原理相識，就是調(diào)用的方法不太一樣，基本上可以公用。
class CommentHTMLParser(HTMLParser.HTMLParser):
def __init__(self):
HTMLParser.HTMLParser.__init__(self)
self.__start_div_yingping = False
self.__start_div_item = False
self.__start_div_gclear = False
self.__start_div_ratingwrap = False
self.__start_div_num = False
# a
self.__start_a = False
# span 3中狀態(tài)
self.__span_state = 0
# 數(shù)據(jù)
self.__value = {}
self.data = []
def handle_starttag(self, tag, attrs):
if tag == 'div':
for k, v in attrs:
if k == 'class' and v == 'yingping-list-wrap':
self.__start_div_yingping = True
elif k == 'class' and v == 'item':
self.__start_div_item = True
elif k == 'class' and v == 'g-clear title-wrap':
self.__start_div_gclear = True
elif k == 'class' and v == 'rating-wrap g-clear':
self.__start_div_ratingwrap = True
elif k == 'class' and v == 'num':
self.__start_div_num = True
elif tag == 'a':
if self.__start_div_yingping and self.__start_div_item and self.__start_div_gclear:
self.__start_a = True
for k, v in attrs:
if k == 'href':
self.__value['href'] = v
elif tag == 'span':
if self.__start_div_yingping and self.__start_div_item and self.__start_div_gclear:
if self.__start_div_ratingwrap:
if self.__span_state != 1:
for k, v in attrs:
if k == 'class' and v == 'rating':
self.__span_state = 1
elif k == 'class' and v == 'time':
self.__span_state = 2
else:
for k, v in attrs:
if k == 'style':
score_text = re.search(r'\d+', v).group()
self.__value['score'] = int(score_text) / 20
self.__span_state = 3
elif self.__start_div_num:
self.__span_state = 4
def handle_endtag(self, tag):
if tag == 'div':
if self.__start_div_yingping:
if self.__start_div_item:
if self.__start_div_gclear:
if self.__start_div_num or self.__start_div_ratingwrap:
if self.__start_div_num:
self.__start_div_num = False
if self.__start_div_ratingwrap:
self.__start_div_ratingwrap = False
else:
self.__start_div_gclear = False
else:
self.data.append(self.__value)
self.__value = {}
self.__start_div_item = False
else:
self.__start_div_yingping = False
elif tag == 'a':
if self.__start_div_yingping and self.__start_div_item and self.__start_div_gclear and self.__start_a:
self.__start_a = False
elif tag == 'span':
self.__span_state = 0
def handle_data(self, data):
if self.__start_a:
self.__value['title'] = data
elif self.__span_state == 2:
self.__value['time'] = data
elif self.__span_state == 4:
score_text = re.search(r'\d+', data).group()
self.__value['people'] = int(score_text)
pass
def html_parser(html):
parser = CommentHTMLParser()
parser.feed(html)
return parser.data看完了這篇文章，相信你對python3解析html的方法有了一定的了解，想了解更多相關知識，歡迎關注創(chuàng)新互聯(lián)行業(yè)資訊頻道，感謝各位的閱讀！
