JSON对象必须是str，而不是Response [英] JSON object must be str, not Response

问题描述

我正在请求返回JSON文件的URL，

I'm making a request to a URL that returns a JSON file,

response = requests.get(url)
response = json.loads(response)

然后，我尝试浏览一些数据，

And then, I am attempting to go through some of the data,

for documents in response["docs"]:
    # do something

现在，我得到的错误是

TypeError: the JSON object must be str, not 'Response'

为了避免这种情况，我尝试过

In order to avoid this, I tried,

response = requests.get(url).json()

但是，由于出现错误，我无法遍历响应:

But then, I can't traverse the response because I get the error:

KeyError: 'docs'

我是Python的新手，并不完全了解获取JSON数据并解析它的最佳方法.有建议吗?

I'm new to Python and not fully aware of the best way to get JSON data and parse it. Suggestions?

这里是接收到的数据的样本，

Here is a sample of the data being received,

{'status':'OK'，'response':{'meta':{'time':9，'hits':11，'offset':0}，'docs':[{'type_of_material' :'新闻'，'pub_date':'2017-01-01T09:12:04 + 0000'，'document_type':'article'，'_id':'5868c7e995d0e03926078885'，'lead_paragraph':'该国领导人自豪地谈到核武器和弹道导弹计划的进展.'，.....

{'status': 'OK', 'response': {'meta': {'time': 9, 'hits': 11, 'offset': 0}, 'docs': [{'type_of_material': 'News', 'pub_date': '2017-01-01T09:12:04+0000', 'document_type': 'article', '_id': '5868c7e995d0e03926078885', 'lead_paragraph': 'The country’s leader spoke proudly of the progress of its nuclear weapons and ballistic missile programs.', .....

推荐答案

您正在尝试将响应对象提供给json.loads().您在那里没有字符串，而必须访问.contents或.text属性:

You are trying to feed the response object to json.loads(). You don't get a string there, you'd have to access the .contents or .text attribute instead:

response = requests.get(url)
# Python 3
response = json.loads(response.text)
# Python 2
response = json.loads(response.content)

但是，这样做的工作量超出了您的需要； requests支持直接处理JSON，无需导入json模块:

However, that'd be doing more work than you need to; requests supports handling JSON directly, and there is no need to import the json module:

response = requests.get(url).json()

请参见 JSON响应内容requests快速入门文档的部分.

See the JSON Response Content section of the requests Quickstart documentation.

加载后，您可以在嵌套词典中的doc键上键入response:

Once loaded, you can get the doc key in the nested dictionary keyed on response:

for documents in response['response']['docs']:

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