使用requests模組簡單獲取資料

1#1

2 url = '
'3#2.
4 response = requests.get(url=url)5#
3.6 page_text =response.text7#
4.8 with open('
./sogou.html
','w
',encoding='
utf-8
') as fp:
9 fp.write(page_text)

1

import
requests
2 url = "
'web
"3 wd = input("
請輸入搜尋關鍵字")
4 param =
78 response = requests.get(url=url,params=param).content
9 filename = wd+'
.html
'10 with open(filename,'
w',encoding='
utf8
') as f1:
11 f1.write(response)

儲存每頁獲取的資料的id，編輯new_url，獲取詳情的資訊

1

import
requests
2 url = '
'3 headers =
6 param =
15 id_list =
16 json_object = requests.post(url=url,headers=headers,params=param).json()
17print(json_object['
list'])
18for i in json_object['
list']:
id'])20
21 new_url = '
'22 filename = '
yaojians.text
'23 f = open(filename,'
w',encoding='
utf8')
24for id in
id_list:
25 param =
28 content_json = requests.post(url=new_url,params=param,headers=headers).json()
29 f.write(str(content_json)+'\n'
)303132

pip install bs4

pip install lxml

解析原理

1、將要進行解析的原始碼載入到bs物件

2、呼叫bs物件中相關的方法或屬性進行原始碼中的相關標籤的定位

3、將定位到的標籤之間存在的文字或屬性值獲取

1

import
requests
2from bs4 import
beautifulsoup
34 url = '
'5 headers =
8 res = requests.get(url=url, headers=headers).text
9 soup = beautifulsoup(res, '
lxml')
10 a_tags_list = soup.select('
.book-mulu > ul > li > a')
11 filename = '
snaguo.text
'12 fp = open(filename, '
w', encoding='
utf-8')
13for a_tag in
a_list:
14 title =a_tag.string
15 detail_url = "
"+a_tag["
href"] 
16 detail_content = requests.get(url=detail_url, headers=headers).text
17 soup = beautifulsoup(detail_content, "
lxml")
18 detail_text = soup.find('
div', class_="
chapter_content
").text
19 fp.write(title+'
\n'+detail_text)
20print(title, '')
21print('
over')
22fp.close()
23

1 url = '

'2 start_page = int(input("
請輸入起始頁:"))
3 end_page = int(input("
請輸入結束頁:"))
4 headers =
7for page in range(start_page,end_page+1):
8 new_url = format(url%page)
9 response = requests.get(url=new_url, headers=headers).text10#
每一頁的url
獲取到當前的二進位製流
17 content = requests.get(url=detail_url,headers=headers).content18#
切割 把路徑最後的字元作為名
19 image_name = image_url.split('
/')[-1]
20 with open('
./qiutu/
'+image_name,'wb'
)as f1:
21f1.write(content)
22print('
over')

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