Python 将REST API返回的响应转换为CSV

我正在尝试将RESTAPI返回的响应写入csv文件。由于有多个请求，我正在逐个调用请求上的API。因此，会有多种反应。我无法实现所需的格式

所需格式：

代码：

import requests

url ='https://reqres.in/api/users'
data =[{
    "name": "morpheus",
    "job": "leader"
},
    {"name":"Mark",
    "job":"SSE"},

    {"name":"Taylor",
    "job":"SE"}
]

with open('response.csv','w') as f:
    for element in data:
        r=requests.post(url,json=element)
        response = json.loads(r.text)
        for key in response.keys():
            #f.write("%s,%s"%(key,response[key]))

---

假设您从服务器获取的数据具有您要查找的确切密钥，类似这样的方法应该可以工作：

data = [] # Your data here.
url = 'https://reqres.in/api/users'

desired_columns = ['name', 'job', 'id', 'createdAt']
with open('response.csv', 'w') as f:

    # First we need to write the column names to the file
    f.write(','.join(desired_columns) + '\n')

    for element in data:
        r = requests.post(url, json=element)

        response = json.loads(r.text)

        # Here, I will assume response has 'name', 'job', 'id' and 'createdAt'
        # as keys to the dictionary. We will save them to the list 'data_to_write'
        # And then write that out the same way we did above.
        data_to_write = []
        for column in desired_columns:
            data_to_write.append(response[column])

        f.write(','.join(data_to_write) + '\n')

---

Python内置了对csv读写的支持，允许您使用不同的分隔符和转义逻辑定义方言

包含分隔符、换行符或转义符的单元格值需要转义，否则生成的csv将被破坏-csv模块将为您执行此操作。您可以选择不同的格式（excel在加载csv时可能很挑剔），也可以定义自己的格式

---

您正在编写csv：首先写出响应的标题，一次，然后写出没有标题的数据。如果您可以导入外部包，pandas有一个很好的构造函数，它将从json记录创建一个表，然后是一个很好的方法来编写csv文件。如果每次都严格格式化json数据，则需要编写两行代码。感谢您的回复。我已将+“\n”添加到标题和记录中的拆分行中。如果值包含您选择的分隔符，则如何转义？这将破坏您的csv。使用内置的python csv编写器。

data = [] # Your data here.
url = 'https://reqres.in/api/users'

desired_columns = ['name', 'job', 'id', 'createdAt']
with open('response.csv', 'w') as f:

    # First we need to write the column names to the file
    f.write(','.join(desired_columns) + '\n')

    for element in data:
        r = requests.post(url, json=element)

        response = json.loads(r.text)

        # Here, I will assume response has 'name', 'job', 'id' and 'createdAt'
        # as keys to the dictionary. We will save them to the list 'data_to_write'
        # And then write that out the same way we did above.
        data_to_write = []
        for column in desired_columns:
            data_to_write.append(response[column])

        f.write(','.join(data_to_write) + '\n')