弗朗索瓦给出的答案是列出一个国家的所有城市。但如果要求列出一个国家的所有地区(城市+州+其他地区等)或该国的机构，则可以通过更改类型相应地过滤结果。

只列出国内的城市

 var options = {
  types: ['(cities)'],
  componentRestrictions: {country: "us"}
 };

列出国内所有的城市、州和地区

 var options = {
  types: ['(regions)'],
  componentRestrictions: {country: "us"}
 };

列出这个国家所有的机构，比如餐馆、商店和办公室

  var options = {
      types: ['establishment'],
      componentRestrictions: {country: "us"}
     };

同样，你可以像这样向结果过滤器添加多种类型:

列出所有相当于学校和药店的机构，以及社区、地点和次地点的类型

  var options = {
      types: ['school','drugstore','neighborhood', 'locality', 'sublocality'],
      componentRestrictions: {country: "us"}
     };

注意:查看可用的类型，并注意只能组合表1和表2中的项目，最多可以组合5个项目。表3不允许结合。

更多信息和选项可在

https://developers.google.com/maps/documentation/javascript/places-autocomplete

希望这对别人有用

对于城市，你可以试试这个方法

https://maps.googleapis.com/maps/api/place/autocomplete/json?input=new delhi&types=locality&key=Your_API_Key

响应

 {
    "predictions": [
        {
            "description": "New Delhi, Delhi, India",
            "matched_substrings": [
                {
                    "length": 9,
                    "offset": 0
                }
            ],
            "place_id": "ChIJLbZ-NFv9DDkRzk0gTkm3wlI",
            "reference": "ChIJLbZ-NFv9DDkRzk0gTkm3wlI",
            "structured_formatting": {
                "main_text": "New Delhi",
                "main_text_matched_substrings": [
                    {
                        "length": 9,
                        "offset": 0
                    }
                ],
                "secondary_text": "Delhi, India"
            },
            "terms": [
                {
                    "offset": 0,
                    "value": "New Delhi"
                },
                {
                    "offset": 11,
                    "value": "Delhi"
                },
                {
                    "offset": 18,
                    "value": "India"
                }
            ],
            "types": [
                "locality",
                "political",
                "geocode"
            ]
        },
        {
            "description": "New Delhi, Madhya Pradesh, India",
            "matched_substrings": [
                {
                    "length": 9,
                    "offset": 0
                }
            ],
            "place_id": "ChIJF6eOnlmqhTkR2f8IfiLL4bs",
            "reference": "ChIJF6eOnlmqhTkR2f8IfiLL4bs",
            "structured_formatting": {
                "main_text": "New Delhi",
                "main_text_matched_substrings": [
                    {
                        "length": 9,
                        "offset": 0
                    }
                ],
                "secondary_text": "Madhya Pradesh, India"
            },
            "terms": [
                {
                    "offset": 0,
                    "value": "New Delhi"
                },
                {
                    "offset": 11,
                    "value": "Madhya Pradesh"
                },
                {
                    "offset": 27,
                    "value": "India"
                }
            ],
            "types": [
                "locality",
                "political",
                "geocode"
            ]
        },
        {
            "description": "Delhi, NY, USA",
            "matched_substrings": [
                {
                    "length": 5,
                    "offset": 0
                }
            ],
            "place_id": "ChIJVS4Od-R43IkRReeLGEBFcv8",
            "reference": "ChIJVS4Od-R43IkRReeLGEBFcv8",
            "structured_formatting": {
                "main_text": "Delhi",
                "main_text_matched_substrings": [
                    {
                        "length": 5,
                        "offset": 0
                    }
                ],
                "secondary_text": "NY, USA"
            },
            "terms": [
                {
                    "offset": 0,
                    "value": "Delhi"
                },
                {
                    "offset": 7,
                    "value": "NY"
                },
                {
                    "offset": 11,
                    "value": "USA"
                }
            ],
            "types": [
                "locality",
                "political",
                "geocode"
            ]
        }
    ],
    "status": "OK"
}

<html> <head> <style type="text/css"> body { font-family: sans-serif; font-size: 14px; } </style> <title>Google Maps JavaScript API v3 Example: Places Autocomplete</title> <script src="https://maps.googleapis.com/maps/api/js?sensor=false&libraries=places" type="text/javascript"></script> <script type="text/javascript"> function initialize() { var input = document.getElementById('searchTextField'); var options = { types: ['geocode'] //this should work ! }; var autocomplete = new google.maps.places.Autocomplete(input, options); } google.maps.event.addDomListener(window, 'load', initialize); </script> </head> <body> <div> <input id="searchTextField" type="text" size="50" placeholder="Enter a location" autocomplete="on"> </div> </body> </html>

var options = {
  types: ['geocode'] //this should work !
};
var autocomplete = new google.maps.places.Autocomplete(input, options);

其他类型的参考:http://code.google.com/apis/maps/documentation/places/supported_types.html#table2

你可以试试国家限制

function initialize() {

 var options = {
  types: ['(cities)'],
  componentRestrictions: {country: "us"}
 };

 var input = document.getElementById('searchTextField');
 var autocomplete = new google.maps.places.Autocomplete(input, options);
}

更多信息:

ISO 3166-1 alpha-2可用于将结果限制到特定的组。目前，您可以使用componentRestrictions按国家进行过滤。 国家必须作为两个字符传递，ISO 3166-1 Alpha-2兼容的国家代码。 官方指定的国家代码

我一直在玩谷歌自动补全API有点，这是我能找到的最好的解决方案，限制你的结果只有国家:

var autocomplete = new google.maps.places.Autocomplete(input, options);
var result = autocomplete.getPlace();
console.log(result); // take a look at this result object
console.log(result.address_components); // a result has multiple address components

for(var i = 0; i < result.address_components.length; i += 1) {
  var addressObj = result.address_components[i];
  for(var j = 0; j < addressObj.types.length; j += 1) {
    if (addressObj.types[j] === 'country') {
      console.log(addressObj.types[j]); // confirm that this is 'country'
      console.log(addressObj.long_name); // confirm that this is the country name
    }
  }
}

如果您查看返回的结果对象，您将看到有一个address_components数组，它将包含表示地址的不同部分的几个对象。在这些对象中，它将包含一个'types'数组，在这个'types'数组中，您将看到与地址相关的不同标签，包括一个国家。

try this <html> <head> <style type="text/css"> body { font-family: sans-serif; font-size: 14px; } </style> <title>Google Maps JavaScript API v3 Example: Places Autocomplete</title> <script src="https://maps.googleapis.com/maps/api/js?sensor=false&amp;libraries=places&region=in" type="text/javascript"></script> <script type="text/javascript"> function initialize() { var input = document.getElementById('searchTextField'); var autocomplete = new google.maps.places.Autocomplete(input); } google.maps.event.addDomListener(window, 'load', initialize); </script> </head> <body> <div> <input id="searchTextField" type="text" size="50" placeholder="Enter a location" autocomplete="on"> </div> </body> </html>

http://maps.googleapis.com/maps/api/js?sensor=false&libraries=places“ type=”text/javascript”

将其更改为:"region=in" (in=india)

“http://maps.googleapis.com/maps/api/js?sensor=false&libraries=places&region=in” type=“text/javascript”