Python 如何从另一个网站向正确的json对象添加新元素？

目前，我使用ParseHub来获取一些关于一个列表县的基本数据，下面可以看到用于此的json文件。我还想刮取每个国家的当前时间，这意味着如果可以找到这些信息，可以访问其他网站，但该网站上的县列表的顺序完全不同，这意味着每个国家最终的时间都不正确

是否有一个was我可以刮取每个国家的时间，并将其附加到正确的国家json对象中，或者我的想法是错误的

country.json

{
 "country": [
  {
   "name": "China",
   "pop": "1,438,801,917",
   "area": "9,706,961 km²",
   "growth": "0.39%",
   "worldPer": "18.47%",
   "rank": "1"
  },
  {
   "name": "India",
   "pop": "1,378,687,736",
   "area": "3,287,590 km²",
   "growth": "0.99%",
   "worldPer": "17.70%",
   "rank": "2"
  },
  {
   "name": "United States",
   "pop": "330,812,025",
   "area": "9,372,610 km²",
   "growth": "0.59%",
   "worldPer": "4.25%",
   "rank": "3"
  }
{

{
    "country": [
        {
            "name": "China",
            "pop": "1,438,801,917",
            "area": "9,706,961 km²",
            "growth": "0.39%",
            "worldPer": "18.47%",
            "rank": "1",
            "time": "18:36"
        },
        {
            "name": "India",
            "pop": "1,378,687,736",
            "area": "3,287,590 km²",
            "growth": "0.99%",
            "worldPer": "17.70%",
            "rank": "2"
        },
        {
            "name": "United States",
            "pop": "330,812,025",
            "area": "9,372,610 km²",
            "growth": "0.59%",
            "worldPer": "4.25%",
            "rank": "3"
        }
    ]
}

time.json

{
 "country": [
  {
   "name": "china",
   "time": "18:36"
  }
{

如何将这些数据添加到country.json中的China对象

{
 "country": [
  {
   "name": "China",
   "pop": "1,438,801,917",
   "area": "9,706,961 km²",
   "growth": "0.39%",
   "worldPer": "18.47%",
   "rank": "1"
  },
  {
   "name": "India",
   "pop": "1,378,687,736",
   "area": "3,287,590 km²",
   "growth": "0.99%",
   "worldPer": "17.70%",
   "rank": "2"
  },
  {
   "name": "United States",
   "pop": "330,812,025",
   "area": "9,372,610 km²",
   "growth": "0.59%",
   "worldPer": "4.25%",
   "rank": "3"
  }
{

import json

with open('country.json') as f1, open('time.json') as f2:
    country = json.loads(f1.read())
    time = json.loads(f2.read())

country = {x['name'].lower(): x for x in country['country']}

for y in time['country']:
    if y['name'].lower() in country:
        country[y['name'].lower()]['time'] = y['time']

country = {'country': list(country.values())}

with open('country.json', 'w') as fw:
    json.dump(country, fw)

{
    "country": [
        {
            "name": "China",
            "pop": "1,438,801,917",
            "area": "9,706,961 km²",
            "growth": "0.39%",
            "worldPer": "18.47%",
            "rank": "1",
            "time": "18:36"
        },
        {
            "name": "India",
            "pop": "1,378,687,736",
            "area": "3,287,590 km²",
            "growth": "0.99%",
            "worldPer": "17.70%",
            "rank": "2"
        },
        {
            "name": "United States",
            "pop": "330,812,025",
            "area": "9,372,610 km²",
            "growth": "0.59%",
            "worldPer": "4.25%",
            "rank": "3"
        }
    ]
}

输出： country.json

{
 "country": [
  {
   "name": "China",
   "pop": "1,438,801,917",
   "area": "9,706,961 km²",
   "growth": "0.39%",
   "worldPer": "18.47%",
   "rank": "1"
  },
  {
   "name": "India",
   "pop": "1,378,687,736",
   "area": "3,287,590 km²",
   "growth": "0.99%",
   "worldPer": "17.70%",
   "rank": "2"
  },
  {
   "name": "United States",
   "pop": "330,812,025",
   "area": "9,372,610 km²",
   "growth": "0.59%",
   "worldPer": "4.25%",
   "rank": "3"
  }
{

{
    "country": [
        {
            "name": "China",
            "pop": "1,438,801,917",
            "area": "9,706,961 km²",
            "growth": "0.39%",
            "worldPer": "18.47%",
            "rank": "1",
            "time": "18:36"
        },
        {
            "name": "India",
            "pop": "1,378,687,736",
            "area": "3,287,590 km²",
            "growth": "0.99%",
            "worldPer": "17.70%",
            "rank": "2"
        },
        {
            "name": "United States",
            "pop": "330,812,025",
            "area": "9,372,610 km²",
            "growth": "0.59%",
            "worldPer": "4.25%",
            "rank": "3"
        }
    ]
}