like Gecko) Chrome/91.0.4472.124 Safari/537.36','Content-Type':'application/json',}# 要发送的数据data={'name':'ChatGPT','language':'Python',}# 发送POST请求response=requests.post(url,headers=headers,json=data)# 打印返回的结果print(
由于requests 默认以 content-type:application/x-www-form-urlencoded 发送 post 请求,所以这里我们不需要特殊处理。 同样,我们可以通过响应对象 r 查看请求和响应中的其他内容: 查看实际的请求数据: print(r.request.body)## username=showdoc&password=123456 1. 查看响应中的 cookie: print(r.cookies)## <Re...
requests.post('http://www.example.com', data=xml, headers=headers) 或者把xml作为一个文件来传输: importrequestsdefrequest_ws(request):withopen(archivo_request,"r")asarchivo: request_data = archivo.read() target_url ="http://127.0.0.1:8000/?wsdl"headers = {'Content-type':'text/xml'} d...
headers={"Proxy-Connection":"keep-alive","Pragma":"no-cache",#"DNT":"1","User-Agent":ua.random,"Accept-Language":"zh-CN,zh;q=0.8,en-US;q=0.6,en;q=0.4","Referer":"www.huixiaoer.com","Accept-Charset":"gb2312,gbk;q=0.7,utf-8;q=0.7,*;q=0.7","Accept":"text/html,applicatio...
(2)如果用Requests模拟post请求的话,请求可以这样构造: xml="""my xml"""headers={'Content-Type':'application/xml'}requests.post('http://www.example.com',data=xml,headers=headers) 或者把xml作为一个文件来传输: importrequestsdefrequest_ws(request):withopen(archivo_request,"r")asarchivo:request_...
1 Request Methods GET: Retrieve resources;POST: Submit data;PUT: Update resources;DELETE: Delete resources;HEAD: Get response headers;OPTIONS: Get supported request methods 2 高级功能 会话保持；文件上传下载；自动内容解码；SSL 证书验证；代理支持；超时设置 2 Advanced Features Session persistence;File ...
in the body of the :class:`Request`. :param \*\*kwargs: Optional arguments that ``request`` takes. :return: :class:`Response <Response>` object :rtype: requests.Response """ kwargs.setdefault('allow_redirects', True) return request('get', url, params=params, **kwargs) ...
:param json: (optional) json data to send in the body of the :class:Request. :param headers: (optional) Dictionary of HTTP Headers to send with the :class:Request. :param cookies: (optional) Dict or CookieJar object to send with the :class:Request. ...
网络爬虫的第一步就是根据URL,获取网页的HTML信息。在Python3中,可以使用urllib.request和requests进行网页爬取。 urllib库是python内置的,无需我们额外安装,只要安装了Python就可以使用这个库。 requests库是第三方库,需要我们自己安装。 requests库强大好用,所以本文使用requests库获取网页的HTML信息。requests库的github...
headers = {"User-Agent" : "Mozilla/5.0 (compatible; MSIE 9.0; Windows NT 6.1; Trident/5.0)"} #构造请求request = urllib.request.Request(url, headers = headers)#发送请求response = urllib.request.urlopen(request) 传入data参数 实现发送post请求(示例)import urllib.requestimport urllib.parseimport ...