Python爬虫入门BeautifulSoup模块

网友投稿 678 2022-05-30

BeautifulSoup

BeautifulSoup是一个模块,该模块用于接收一个HTML或XML字符串,

然后将其进行格式化,之后遍可以使用他提供的方法进行快速查找指定元素,

从而使得在HTML或XML中查找指定元素变得简单。

安装:

pip install BeautifulSoup4

1

导入:

from bs4 import BeautifulSoup

1

beautifulsoup简单示例:

soup = BeautifulSoup(text, features="html.parser") # 返回第一个对象 v1 = soup.find("div") v1 = soup.find(id="i1") v1 = soup.find("div", id="i1") # 组合使用 # 返回对象列表 v2 = soup.find_all("div") v2 = soup.find_all(id="i1") v2 = soup.find_all("div", id="i1") # 组合使用 tag.text # 获取文本 tag.attrs("href") # 获取属性

1

2

3

4

5

6

7

8

9

10

11

12

13

14

代码示例

from bs4 import BeautifulSoup html_doc = """ The Dormouse's story asdf

The Dormouse's story总共

f

Once upon a time there were three little sisters; and their names were Elsfie, Lacie and Tillie; and they lived at the bottom of a well.
ad
sf

...

""" soup = BeautifulSoup(html_doc, features="lxml") # 找到第一个a标签 tag1 = soup.find(name='a') # 找到所有的a标签 tag2 = soup.find_all(name='a') # 找到id=link2的标签 tag3 = soup.select('#link2')

1

2

3

4

5

6

7

8

9

10

11

12

13

14

15

16

17

18

19

20

21

22

23

24

25

26

27

28

29

30

31

32

33

34

35

1、 name,标签名称

tag = soup.find('a') name = tag.name # 获取 print(name) tag.name = 'span' # 设置 print(soup)

1

2

3

4

5

6

2、 attrs,标签属性

tag = soup.find('a') attrs = tag.attrs # 获取 print(attrs) tag.attrs = {'ik':123} # 设置 tag.attrs['id'] = 'value' # 设置 print(soup)

1

2

3

4

5

6

7

3、 children,所有子标签

body = soup.find('body') v = body.children

1

2

4、 descendants,所有子子孙孙标签

body = soup.find('body') v = body.descendants

1

2

5、 clear,将标签的所有子标签全部清空(保留标签名)

tag = soup.find('body') tag.clear() print(soup)

1

2

3

6、decompose,递归的删除所有的标签

body = soup.find('body') body.decompose() print(soup)

1

2

3

7、extract,递归的删除所有的标签,并获取删除的标签

body = soup.find('body') v = body.extract() print(soup)

1

2

3

8、 decode,转换为字符串(含当前标签);decode_contents(不含当前标签)

body = soup.find('body') v = body.decode() v = body.decode_contents() print(v)

1

2

3

4

9、encode,转换为字节(含当前标签);encode_contents(不含当前标签)

body = soup.find('body') v = body.encode() v = body.encode_contents() print(v)

1

2

3

4

10、find,获取匹配的第一个标签

tag = soup.find('a') print(tag) tag = soup.find(name='a', attrs={'class': 'sister'}, recursive=True, text='Lacie') tag = soup.find(name='a', class_='sister', recursive=True, text='Lacie') print(tag)

1

2

3

4

5

6

7

8

9

11、find_all,获取匹配的所有标签

tags = soup.find_all('a') print(tags) tags = soup.find_all('a',limit=1) print(tags) tags = soup.find_all(name='a', attrs={'class': 'sister'}, recursive=True, text='Lacie') tags = soup.find_all(name='a', class_='sister', recursive=True, text='Lacie') print(tags) ####### 列表 ####### v = soup.find_all(name=['a','div']) print(v) v = soup.find_all(class_=['sister0', 'sister']) print(v) v = soup.find_all(text=['Tillie']) print(v, type(v[0])) v = soup.find_all(id=['link1','link2']) print(v) v = soup.find_all(href=['link1','link2']) print(v) ####### 正则 ####### import re rep = re.compile('p') rep = re.compile('^p') # 所有以p开头 v = soup.find_all(name=rep) print(v) rep = re.compile('sister.*') v = soup.find_all(class_=rep) print(v) rep = re.compile('http://www.oldboy.com/static/.*') v = soup.find_all(href=rep) print(v) ####### 方法筛选 ####### def func(tag): return tag.has_attr('class') and tag.has_attr('id') v = soup.find_all(name=func) print(v) ## get,获取标签属性 tag = soup.find('a') v = tag.get('id') print(v)

1

2

3

4

5

6

7

8

9

10

11

12

13

14

15

16

17

18

19

20

21

22

23

24

25

26

27

28

29

30

31

32

33

34

35

36

37

38

39

40

41

42

43

44

45

46

47

48

49

50

51

52

53

54

55

56

57

58

59

60

12、has_attr,检查标签是否具有该属性

tag = soup.find('a') v = tag.has_attr('id') print(v)

1

2

3

13、get_text,获取标签内部文本内容

tag = soup.find('a') v = tag.get_text() print(v)

1

2

3

14、index,检查标签在某标签中的索引位置

tag = soup.find('body') v = tag.index(tag.find('div')) print(v) tag = soup.find('body') for i, v in enumerate(tag): print(i,v)

1

2

3

4

5

6

7

15、 is_empty_element,是否是空标签(是否可以是空)或者自闭合标签,

# 判断是否是如下标签: # 'br' , 'hr', 'input', 'img', 'meta','spacer', 'link', 'frame', 'base' tag = soup.find('br') v = tag.is_empty_element print(v)

1

2

3

4

5

6

16、 当前的关联标签

tag.next tag.next_element tag.next_elements tag.next_sibling tag.next_siblings tag.previous tag.previous_element tag.previous_elements tag.previous_sibling tag.previous_siblings tag.parent tag.parents tag.children tag.descendants

1

2

3

4

5

6

7

8

9

10

11

12

13

14

15

16

17

17、查找某标签的关联标签

tag.find_next(...) tag.find_all_next(...) tag.find_next_sibling(...) tag.find_next_siblings(...) tag.find_previous(...) tag.find_all_previous(...) tag.find_previous_sibling(...) tag.find_previous_siblings(...) tag.find_parent(...) tag.find_parents(...) # 参数同find_all

1

2

3

4

5

6

7

8

9

10

11

12

13

14

18、 select,select_one, CSS选择器

soup.select("title") soup.select("p nth-of-type(3)") soup.select("body a") soup.select("html head title") tag = soup.select("span,a") soup.select("head > title") soup.select("p > a") soup.select("p > a:nth-of-type(2)") soup.select("p > #link1") soup.select("body > a") soup.select("#link1 ~ .sister") soup.select("#link1 + .sister") soup.select(".sister") soup.select("[class~=sister]") soup.select("#link1") soup.select("a#link2") soup.select('a[href]') soup.select('a[href="http://example.com/elsie"]') soup.select('a[href^="http://example.com/"]') soup.select('a[href$="tillie"]') soup.select('a[href*=".com/el"]') from bs4.element import Tag def default_candidate_generator(tag): for child in tag.descendants: if not isinstance(child, Tag): continue if not child.has_attr('href'): continue yield child tags = soup.find('body').select("a", _candidate_generator=default_candidate_generator) print(type(tags), tags) from bs4.element import Tag def default_candidate_generator(tag): for child in tag.descendants: if not isinstance(child, Tag): continue if not child.has_attr('href'): continue yield child tags = soup.find('body').select("a", _candidate_generator=default_candidate_generator, limit=1) print(type(tags), tags)

1

2

3

4

5

6

7

8

9

10

11

12

13

14

15

16

17

18

19

20

21

22

23

24

25

26

27

28

29

30

31

32

33

34

35

36

37

38

39

40

41

42

43

44

45

46

47

48

49

50

51

52

53

54

55

56

57

58

59

60

61

62

63

64

65

66

67

68

19、 标签的内容

tag = soup.find('span') print(tag.string) # 获取 tag.string = 'new content' # 设置 print(soup) tag = soup.find('body') print(tag.string) tag.string = 'xxx' print(soup) tag = soup.find('body') v = tag.stripped_strings # 递归内部获取所有标签的文本 print(v)

1

2

3

4

5

6

7

8

9

10

11

12

13

20、append在当前标签内部追加一个标签

tag = soup.find('body') tag.append(soup.find('a')) print(soup) from bs4.element import Tag obj = Tag(name='i',attrs={'id': 'it'}) obj.string = '我是一个新来的' tag = soup.find('body') tag.append(obj) print(soup)

1

2

3

4

5

6

7

8

9

10

11

21、insert在当前标签内部指定位置插入一个标签

from bs4.element import Tag obj = Tag(name='i', attrs={'id': 'it'}) obj.string = '我是一个新来的' tag = soup.find('body') tag.insert(2, obj) print(soup)

1

2

3

4

5

6

7

22、 insert_after,insert_before 在当前标签后面或前面插入

from bs4.element import Tag obj = Tag(name='i', attrs={'id': 'it'}) obj.string = '我是一个新来的' tag = soup.find('body') tag.insert_before(obj) tag.insert_after(obj) print(soup)

1

2

3

4

5

6

7

8

23、 replace_with 在当前标签替换为指定标签

from bs4.element import Tag obj = Tag(name='i', attrs={'id': 'it'}) obj.string = '我是一个新来的' tag = soup.find('div') tag.replace_with(obj) print(soup)

1

2

3

4

5

6

7

24、 创建标签之间的关系

tag = soup.find('div') a = soup.find('a') tag.setup(previous_sibling=a) print(tag.previous_sibling)

1

2

3

4

25、wrap,将指定标签把当前标签包裹起来

Python爬虫入门BeautifulSoup模块

from bs4.element import Tag obj1 = Tag(name='div', attrs={'id': 'it'}) obj1.string = '我是一个新来的' tag = soup.find('a') v = tag.wrap(obj1) print(soup) tag = soup.find('a') v = tag.wrap(soup.find('p')) print(soup)

1

2

3

4

5

6

7

8

9

10

11

12

26、 unwrap,去掉当前标签,将保留其包裹的标签

tag = soup.find('a') v = tag.unwrap() print(soup)

1

2

3

参考:

武沛齐:http://www.cnblogs.com/wupeiqi/articles/6283017.html

官方文档:http://beautifulsoup.readthedocs.io/zh_CN/v4.4.0/

Python

版权声明:本文内容由网络用户投稿,版权归原作者所有,本站不拥有其著作权,亦不承担相应法律责任。如果您发现本站中有涉嫌抄袭或描述失实的内容,请联系我们jiasou666@gmail.com 处理,核实后本网站将在24小时内删除侵权内容。

上一篇:python爬虫入门requests模块
下一篇:JS逆向|使用express框架开启服务并替换加密字符串
相关文章