关于requests库和json库在实战后的快速上手小结
一、requests模块
1.requests模块中text方法的使用
import requests
response = requests.get(url='https://www.baidu.com')
print(response.text) # 使用响应对象的text属性提取响应对象中的网页源代码字符串
2.requests模块中的json()方法的调用
import requests
url = 'https://movie.douban.com/j/chart/top_list'
headers = {
'User-Agent':'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/78.0.3904.108 Safari/537.36'
}
params = {
'type': '25',
'interval_id': '100:90',
'action': '',
'start': '0',
'limit': '1'
}
response = requests.get(url, headers = headers, params = params)
print(response.json())
3.requests模块中的content方法的调用
import requests
url = 'https://i2.hdslb.com/bfs/archive/3dbee6dd124569216ddd692ce5f16925c257e5f1.jpg@672w_378h_1c_100q.webp'
headers = {
'User-Agent':'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/78.0.3904.108 Safari/537.36'
}
response=requests.get(url,headers = headers)
content = response.content
print(content)
with open('图片.webp', 'wb') as fp:
fp.write(content)
二、json模块的应用
1. 示例代码
【json的基本使用】
json.loads() # json字符串转化为python数据类型
json.dumps() # python数据类型转化为json字符串
json.load() # 包含json的类文件对象转化为python数据类型
json.dump() # python数据类型转化为包含json的类文件对象
import requests
import json
url = 'https://movie.douban.com/j/chart/top_list'
headers = {
'User-Agent':'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/78.0.3904.108 Safari/537.36'
}
params = {
'type': '25',
'interval_id':'100:90',
'action': '',
'start':'0',
'limit': '1'}
response = requests.get(url = url, params = params, headers = headers)
content = response.json()
for i in content:
print(json.dumps(i, indent = 4, ensure_ascii = False, separators = (', ', ': ')))
break
with open('豆瓣电影动画排行榜.txt', 'w', encoding = 'utf-8') as fp:
for i in content:
title = i['title'] # 取出键名为title对应的值
score = i['score'] # 取出键名为score对应的值
fp.write(title + ' ' + score + '\n')