Requests 中有一个内置的 JSON 解码器 response.json(),处理返回的 JSON 数据。使用后,会把返回的数据 作为一个python中的json数据对象看待。如果 JSON 解码失败, response.json() 就会抛出一个异常。 url = 'https://api.weixin.qq.com/cgi-bin/token' data = {'gran
import requestsheaders = {'User-Agent':'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_8_3) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/27.0.1453.93 Safari/537.36'}r = requests.get('http://httpbin.org/get', headers=headers)print(r.text) 1. 执行结果: { "args": {}, "headers": { "...
requests.get(‘https://github.com/timeline.json’)#GET请求requests.post(“http://httpbin.org/post”)#POST请求requests.put(“http://httpbin.org/put”,data = {'key':'value'})#PUT请求requests.delete(“http://httpbin.org/delete”)#DELETE请求requests.head(“http://httpbin.org/get”)#HEAD请...
import requests url = "https://fanyi.baidu.com/v2transapi"data = {"from": "zh", "to": "en", "query": "你叫什么名字", "transtype": "translang", "simple_means_flag": "3", "sign": "720330.925435", "token": "ada68d4d4032df7e374059e9fa70d184"}response = requests.post(url,...
response = requests.get("http://httpbin.org/get",params=data) print(response.text) 3.解析json Json用来保存一些键值对组成的数据,用于数据交换,也可用于前后端之间互相传递数据,比如前端发起请求,调用接口,后端返回一串json数据,处理数据,渲染到页面上。
1. requests库的几个主要方法1.1 requests.request方法1.2 requests.get方法1.3 requests.head方法1.4 requests.post方法1.5 requests.put方法1.6 requests.patch方法1.7 requests.delete方法1.8 requests.Session方法四、response的属性一、安装requests是Python第三方库,不会自带,需要额外安装pip install ...
如果我们想要在URL查询字符串传递数据,通常我们会通过httpbin.org/get?key=val方式传递。Requests模块允许使用params关键字传递参数,以一个字典来传递这些参数,例子如下: 代码语言:javascript 代码运行次数:0 运行 AI代码解释 importrequests data={"name":"zhaofan","age":22}response=requests.get("http://httpbin...
url = 'https://api.example.com/data' # 发送GET请求 response = requests.get(url) # 检查请求是否成功 if response.status_code == 200: # 请求成功,打印返回的内容 print(response.text) else: # 请求失败,打印错误信息 print(f"请求失败,状态码: {response.status_code}") ...
response = requests.post( 'https://app.dewu.com/api/v1/h5/commodity-pick-interfaces/pc/pick-rule-result/feeds/info', json=data, ) json_data = response.json() f = open('data.csv',mode='w',encoding='utf-8',newline='') csv_writer = csv.DictWriter(f,fieldnames=['logoUrl','title...
("parent"): response = requests.get(url='http://example.com')returnjson.dumps({'method': req.method,'response': response.status_code,'ctx_func_name': context.function_name,'ctx_func_dir': context.function_directory,'ctx_invocation_id': context.invocation_id,'ctx_trace_context_Traceparent...