如何搜尋國家/地區內的地點 - Amazon Location Service
潛在的使用案例範例

本文為英文版的機器翻譯版本，如內容有任何歧義或不一致之處，概以英文版為準。

如何搜尋國家/地區內的地點

SearchText API 可讓您將搜尋結果限制在一個或多個國家/地區內。此功能適用於在邊界區域或彼此相鄰的較小國家/地區進行搜尋。

使用 SearchText API 的一種方法是讓使用者執行任意文字搜尋和應用程式集的偏差位置。這些偏差位置可以是裝置位置、IP 位置或地圖的檢視連接埠中心。此外，最終使用者可以提供城市名稱或位置，而應用程式可以根據地理座標偏差結果。

潛在的使用案例

  • 對於具有附近國際邊界的區域，請將搜尋結果限制在某個國家/地區內。

  • 使用多個國家/地區篩選結果至 。

範例

在此範例中，偏差位置接近美國和加拿大邊界。如果不指定 IncludeCountries": ["CAN"]，API 會傳回加拿大和美國的結果。

Sample request
{
    "QueryText": "Starbucks",
    "BiasPosition": [
                -122.741803, 
                 49.002478
            ]
}
Sample response
{
    "ResultItems": [
        {
            "PlaceId": "<Redacted>",
            "PlaceType": "PointOfInterest",
            "Title": "STARBUCKS",
            "Address": {
                "Label": "STARBUCKS, 16010 24 Ave, Surrey, BC V3Z 0R5, Canada",
                "Country": {
                    "Code2": "CA",
                    "Code3": "CAN",
                    "Name": "Canada"
                },
                "Region": {
                    "Code": "BC",
                    "Name": "British Columbia"
                },
                "SubRegion": {
                    "Name": "Metro Vancouver"
                },
                "Locality": "Surrey",
                "District": "South Surrey",
                "PostalCode": "V3Z 0R5",
                "Street": "24 Ave",
                "StreetComponents": [
                    {
                        "BaseName": "24",
                        "Type": "Ave",
                        "TypePlacement": "AfterBaseName",
                        "TypeSeparator": " ",
                        "Language": "en"
                    }
                ],
                "AddressNumber": "16010"
            },
            "Position": [
                -122.77867,
                49.04482
            ],
            "Distance": 5422,
            "Categories": [
                {
                    "Id": "coffee_shop",
                    "Name": "Coffee Shop",
                    "LocalizedName": "Coffee Shop",
                    "Primary": true
                }
            ]
        },
        {
            "PlaceId": "<Redacted>",
            "PlaceType": "PointOfInterest",
            "Title": "STARBUCKS",
            "Address": {
                "Label": "STARBUCKS, 1730 152 St, Surrey, BC V4A 4N4, Canada",
                "Country": {
                    "Code2": "CA",
                    "Code3": "CAN",
                    "Name": "Canada"
                },
                "Region": {
                    "Code": "BC",
                    "Name": "British Columbia"
                },
                "SubRegion": {
                    "Name": "Metro Vancouver"
                },
                "Locality": "Surrey",
                "District": "South Surrey",
                "PostalCode": "V4A 4N4",
                "Street": "152 St",
                "StreetComponents": [
                    {
                        "BaseName": "152",
                        "Type": "St",
                        "TypePlacement": "AfterBaseName",
                        "TypeSeparator": " ",
                        "Language": "en"
                    }
                ],
                "AddressNumber": "1730"
            },
            "Position": [
                -122.80096,
                49.03341
            ],
            "Distance": 5517,
            "Categories": [
                {
                    "Id": "coffee_shop",
                    "Name": "Coffee Shop",
                    "LocalizedName": "Coffee Shop",
                    "Primary": true
                }
            ],
            "BusinessChains": [
                {
                    "Name": "Starbucks",
                    "Id": "Starbucks"
                }
            ]
        },
        ...
        ...
    ]
}
cURL
curl --request POST \
  --url 'https://places.geo.eu-central-1.amazonaws.com/v2/search-text?key=Your_Key' \
  --header 'Content-Type: application/json' \
  --data '{
    "QueryText": "Starbucks",
    "BiasPosition": [
                -122.741803, 
                49.002478
            ]
}'
AWS CLI
aws geo-places search-text --key ${YourKey} --query-text "Starbucks" --bias-position -122.741803 49.002478