查詢自動完成

Query Autocomplete 服務可在您輸入時傳回建議的查詢,以針對文字型地理區域搜尋提供查詢預測。

Query Autocomplete 要求

Query Autocomplete 服務是 Places API 的一部分,並與 Places API 共用 API 金鑰和配額。

透過 Query Autocomplete 服務,您可以在應用程式中加入即時地理查詢預測結果。使用者不會搜尋特定地點,而不用搜尋特定地點,只要輸入類別搜尋 (例如「臺北附近的披薩」),服務就會傳回符合該字串的建議查詢清單。Query Autocomplete 服務可以同時比對完整字詞和子字串,因此應用程式可在使用者輸入內容時傳送查詢,即時提供預測結果。

「查詢自動完成」要求是採用下列格式的 HTTP 網址:

https://maps.googleapis.com/maps/api/place/queryautocomplete/output?parameters

其中 output 可以是 jsonxml

您必須加入某些參數,才能提出 Query Autocomplete 要求。 依照網址標準,所有參數都會以 & 字元分隔。參數清單和其可能的值列舉如下。

Required parameters

  • input

    The text string on which to search. The Place Autocomplete service will return candidate matches based on this string and order results based on their perceived relevance.

Optional parameters

  • language

    The language in which to return results.

    • See the list of supported languages. Google often updates the supported languages, so this list may not be exhaustive.
    • If language is not supplied, the API attempts to use the preferred language as specified in the Accept-Language header.
    • The API does its best to provide a street address that is readable for both the user and locals. To achieve that goal, it returns street addresses in the local language, transliterated to a script readable by the user if necessary, observing the preferred language. All other addresses are returned in the preferred language. Address components are all returned in the same language, which is chosen from the first component.
    • If a name is not available in the preferred language, the API uses the closest match.
    • The preferred language has a small influence on the set of results that the API chooses to return, and the order in which they are returned. The geocoder interprets abbreviations differently depending on language, such as the abbreviations for street types, or synonyms that may be valid in one language but not in another. For example, utca and tér are synonyms for street in Hungarian.
  • location

    The point around which to retrieve place information. This must be specified as latitude,longitude.

    The location parameter may be overriden if the query contains an explicit location such as Market in Barcelona. Using quotes around the query may also influence the weight given to the location and radius.
  • offset

    The position, in the input term, of the last character that the service uses to match predictions. For example, if the input is Google and the offset is 3, the service will match on Goo. The string determined by the offset is matched against the first word in the input term only. For example, if the input term is Google abc and the offset is 3, the service will attempt to match against Goo abc. If no offset is supplied, the service will use the whole term. The offset should generally be set to the position of the text caret.

  • radius

    Defines the distance (in meters) within which to return place results. You may bias results to a specified circle by passing a location and a radius parameter. Doing so instructs the Places service to prefer showing results within that circle; results outside of the defined area may still be displayed.

    The radius will automatically be clamped to a maximum value depending on the type of search and other parameters.

    • Autocomplete: 50,000 meters
    • Nearby Search:
      • with keyword or name: 50,000 meters
      • without keyword or name
        • Up to 50,000 meters, adjusted dynamically based on area density, independent of rankby parameter.
        • When using rankby=distance, the radius parameter will not be accepted, and will result in an INVALID_REQUEST.
    • Query Autocomplete: 50,000 meters
    • Text Search: 50,000 meters

查詢自動完成範例

網址

https://maps.googleapis.com/maps/api/place/queryautocomplete/json
  ?input=pizza%20near%20par
  &key=YOUR_API_KEY

cURL

curl -L -X GET 'https://maps.googleapis.com/maps/api/place/queryautocomplete/json?input=pizza%20near%20par&key=YOUR_API_KEY'

要求「附近的披薩店」,其中含有法文結果:

網址

https://maps.googleapis.com/maps/api/place/queryautocomplete/json
  ?input=pizza%20near%20par
  &language=fr
  &key=YOUR_API_KEY

cURL

curl -L -X GET 'https://maps.googleapis.com/maps/api/place/queryautocomplete/json?input=pizza%20near%20par&language=fr&key=YOUR_API_KEY'

請注意,您必須將這些範例中的 API 金鑰換成您自己的金鑰。

Query Autocomplete 回應

查詢自動完成回應傳回的格式會以網址要求路徑中的 output 旗標來表示。系統會使用下列參數的查詢傳回以下結果:

網址

https://maps.googleapis.com/maps/api/place/queryautocomplete/json
  ?input=pizza%20near%20par
  &key=YOUR_API_KEY

cURL

curl -L -X GET 'https://maps.googleapis.com/maps/api/place/queryautocomplete/json?input=pizza%20near%20par&key=YOUR_API_KEY'

JSON

{
  "predictions":
    [
      {
        "description": "pizza near Paris, France",
        "matched_substrings":
          [{ "length": 5, "offset": 0 }, { "length": 3, "offset": 11 }],
        "structured_formatting":
          {
            "main_text": "pizza",
            "main_text_matched_substrings": [{ "length": 5, "offset": 0 }],
            "secondary_text": "near Paris, France",
            "secondary_text_matched_substrings": [{ "length": 3, "offset": 5 }],
          },
        "terms":
          [
            { "offset": 0, "value": "pizza" },
            { "offset": 6, "value": "near" },
            { "offset": 11, "value": "Paris" },
            { "offset": 18, "value": "France" },
          ],
      },
      {
        "description": "pizza near Pari Chowk, NRI City, Omega II, Noida, Uttar Pradesh, India",
        "matched_substrings":
          [{ "length": 5, "offset": 0 }, { "length": 3, "offset": 11 }],
        "structured_formatting":
          {
            "main_text": "pizza",
            "main_text_matched_substrings": [{ "length": 5, "offset": 0 }],
            "secondary_text": "near Pari Chowk, NRI City, Omega II, Noida, Uttar Pradesh, India",
            "secondary_text_matched_substrings": [{ "length": 3, "offset": 5 }],
          },
        "terms":
          [
            { "offset": 0, "value": "pizza" },
            { "offset": 6, "value": "near" },
            { "offset": 11, "value": "Pari Chowk" },
            { "offset": 23, "value": "NRI City" },
            { "offset": 33, "value": "Omega II" },
            { "offset": 43, "value": "Noida" },
            { "offset": 50, "value": "Uttar Pradesh" },
            { "offset": 65, "value": "India" },
          ],
      },
      {
        "description": "pizza near Disneyland Park, Disneyland Drive, Anaheim, CA, USA",
        "matched_substrings":
          [{ "length": 5, "offset": 0 }, { "length": 3, "offset": 22 }],
        "structured_formatting":
          {
            "main_text": "pizza",
            "main_text_matched_substrings": [{ "length": 5, "offset": 0 }],
            "secondary_text": "near Disneyland Park, Disneyland Drive, Anaheim, CA, USA",
            "secondary_text_matched_substrings":
              [{ "length": 3, "offset": 16 }],
          },
        "terms":
          [
            { "offset": 0, "value": "pizza" },
            { "offset": 6, "value": "near" },
            { "offset": 11, "value": "Disneyland Park" },
            { "offset": 28, "value": "Disneyland Drive" },
            { "offset": 46, "value": "Anaheim" },
            { "offset": 55, "value": "CA" },
            { "offset": 59, "value": "USA" },
          ],
      },
      {
        "description": "pizza near Cathédrale Notre-Dame de Paris, Parvis Notre-Dame - place Jean-Paul-II, Paris, France",
        "matched_substrings":
          [{ "length": 5, "offset": 0 }, { "length": 3, "offset": 36 }],
        "structured_formatting":
          {
            "main_text": "pizza",
            "main_text_matched_substrings": [{ "length": 5, "offset": 0 }],
            "secondary_text": "near Cathédrale Notre-Dame de Paris, Parvis Notre-Dame - place Jean-Paul-II, Paris, France",
            "secondary_text_matched_substrings":
              [{ "length": 3, "offset": 30 }],
          },
        "terms":
          [
            { "offset": 0, "value": "pizza" },
            { "offset": 6, "value": "near" },
            { "offset": 11, "value": "Cathédrale Notre-Dame de Paris" },
            { "offset": 43, "value": "Parvis Notre-Dame - place Jean-Paul-II" },
            { "offset": 83, "value": "Paris" },
            { "offset": 90, "value": "France" },
          ],
      },
      {
        "description": "pizza near Paris Beauvais Airport, Route de l'Aéroport, Tillé, France",
        "matched_substrings":
          [{ "length": 5, "offset": 0 }, { "length": 3, "offset": 11 }],
        "structured_formatting":
          {
            "main_text": "pizza",
            "main_text_matched_substrings": [{ "length": 5, "offset": 0 }],
            "secondary_text": "near Paris Beauvais Airport, Route de l'Aéroport, Tillé, France",
            "secondary_text_matched_substrings": [{ "length": 3, "offset": 5 }],
          },
        "terms":
          [
            { "offset": 0, "value": "pizza" },
            { "offset": 6, "value": "near" },
            { "offset": 11, "value": "Paris Beauvais Airport" },
            { "offset": 35, "value": "Route de l'Aéroport" },
            { "offset": 56, "value": "Tillé" },
            { "offset": 63, "value": "France" },
          ],
      },
    ],
  "status": "OK",
}

XML

<AutocompletionResponse>
 <status>OK</status>
 <prediction>
  <description>pizza near Paris, France</description>
  <term>
   <value>pizza</value>
   <offset>0</offset>
  </term>
  <term>
   <value>near</value>
   <offset>6</offset>
  </term>
  <term>
   <value>Paris</value>
   <offset>11</offset>
  </term>
  <term>
   <value>France</value>
   <offset>18</offset>
  </term>
  <matched_substring>
   <offset>0</offset>
   <length>5</length>
  </matched_substring>
  <matched_substring>
   <offset>11</offset>
   <length>3</length>
  </matched_substring>
  <structured_formatting>
   <description>pizza</description>
   <subdescription>near Paris, France</subdescription>
   <description_matched_substring>
    <offset>0</offset>
    <length>5</length>
   </description_matched_substring>
   <subdescription_matched_substring>
    <offset>5</offset>
    <length>3</length>
   </subdescription_matched_substring>
  </structured_formatting>
 </prediction>
 <prediction>
  <description>pizza near Pari Chowk, NRI City, Omega II, Noida, Uttar Pradesh, India</description>
  <term>
   <value>pizza</value>
   <offset>0</offset>
  </term>
  <term>
   <value>near</value>
   <offset>6</offset>
  </term>
  <term>
   <value>Pari Chowk</value>
   <offset>11</offset>
  </term>
  <term>
   <value>NRI City</value>
   <offset>23</offset>
  </term>
  <term>
   <value>Omega II</value>
   <offset>33</offset>
  </term>
  <term>
   <value>Noida</value>
   <offset>43</offset>
  </term>
  <term>
   <value>Uttar Pradesh</value>
   <offset>50</offset>
  </term>
  <term>
   <value>India</value>
   <offset>65</offset>
  </term>
  <matched_substring>
   <offset>0</offset>
   <length>5</length>
  </matched_substring>
  <matched_substring>
   <offset>11</offset>
   <length>3</length>
  </matched_substring>
  <structured_formatting>
   <description>pizza</description>
   <subdescription>near Pari Chowk, NRI City, Omega II, Noida, Uttar Pradesh, India</subdescription>
   <description_matched_substring>
    <offset>0</offset>
    <length>5</length>
   </description_matched_substring>
   <subdescription_matched_substring>
    <offset>5</offset>
    <length>3</length>
   </subdescription_matched_substring>
  </structured_formatting>
 </prediction>
 <prediction>
  <description>pizza near Disneyland Park, Disneyland Drive, Anaheim, CA, USA</description>
  <term>
   <value>pizza</value>
   <offset>0</offset>
  </term>
  <term>
   <value>near</value>
   <offset>6</offset>
  </term>
  <term>
   <value>Disneyland Park</value>
   <offset>11</offset>
  </term>
  <term>
   <value>Disneyland Drive</value>
   <offset>28</offset>
  </term>
  <term>
   <value>Anaheim</value>
   <offset>46</offset>
  </term>
  <term>
   <value>CA</value>
   <offset>55</offset>
  </term>
  <term>
   <value>USA</value>
   <offset>59</offset>
  </term>
  <matched_substring>
   <offset>0</offset>
   <length>5</length>
  </matched_substring>
  <matched_substring>
   <offset>22</offset>
   <length>3</length>
  </matched_substring>
  <structured_formatting>
   <description>pizza</description>
   <subdescription>near Disneyland Park, Disneyland Drive, Anaheim, CA, USA</subdescription>
   <description_matched_substring>
    <offset>0</offset>
    <length>5</length>
   </description_matched_substring>
   <subdescription_matched_substring>
    <offset>16</offset>
    <length>3</length>
   </subdescription_matched_substring>
  </structured_formatting>
 </prediction>
 <prediction>
  <description>pizza near Cathédrale Notre-Dame de Paris, Parvis Notre-Dame - place Jean-Paul-II, Paris, France</description>
  <term>
   <value>pizza</value>
   <offset>0</offset>
  </term>
  <term>
   <value>near</value>
   <offset>6</offset>
  </term>
  <term>
   <value>Cathédrale Notre-Dame de Paris</value>
   <offset>11</offset>
  </term>
  <term>
   <value>Parvis Notre-Dame - place Jean-Paul-II</value>
   <offset>43</offset>
  </term>
  <term>
   <value>Paris</value>
   <offset>83</offset>
  </term>
  <term>
   <value>France</value>
   <offset>90</offset>
  </term>
  <matched_substring>
   <offset>0</offset>
   <length>5</length>
  </matched_substring>
  <matched_substring>
   <offset>36</offset>
   <length>3</length>
  </matched_substring>
  <structured_formatting>
   <description>pizza</description>
   <subdescription>near Cathédrale Notre-Dame de Paris, Parvis Notre-Dame - place Jean-Paul-II, Paris, France</subdescription>
   <description_matched_substring>
    <offset>0</offset>
    <length>5</length>
   </description_matched_substring>
   <subdescription_matched_substring>
    <offset>30</offset>
    <length>3</length>
   </subdescription_matched_substring>
  </structured_formatting>
 </prediction>
 <prediction>
  <description>pizza near Paris Beauvais Airport, Route de l'Aéroport, Tillé, France</description>
  <term>
   <value>pizza</value>
   <offset>0</offset>
  </term>
  <term>
   <value>near</value>
   <offset>6</offset>
  </term>
  <term>
   <value>Paris Beauvais Airport</value>
   <offset>11</offset>
  </term>
  <term>
   <value>Route de l'Aéroport</value>
   <offset>35</offset>
  </term>
  <term>
   <value>Tillé</value>
   <offset>56</offset>
  </term>
  <term>
   <value>France</value>
   <offset>63</offset>
  </term>
  <matched_substring>
   <offset>0</offset>
   <length>5</length>
  </matched_substring>
  <matched_substring>
   <offset>11</offset>
   <length>3</length>
  </matched_substring>
  <structured_formatting>
   <description>pizza</description>
   <subdescription>near Paris Beauvais Airport, Route de l'Aéroport, Tillé, France</subdescription>
   <description_matched_substring>
    <offset>0</offset>
    <length>5</length>
   </description_matched_substring>
   <subdescription_matched_substring>
    <offset>5</offset>
    <length>3</length>
   </subdescription_matched_substring>
  </structured_formatting>
 </prediction>
</AutocompletionResponse>

當地點介面集服務傳回搜尋的 JSON 結果時,會將結果置於 predictions 陣列中。即使服務未傳回任何結果 (例如 location 是遠端),仍會傳回空白的 predictions 陣列。XML 回應由零或多個 <prediction> 元素組成。

PlacesQueryAutocompleteResponse

FieldRequiredTypeDescription
required Array<PlaceAutocompletePrediction>

Contains an array of predictions.

See PlaceAutocompletePrediction for more information.

requiredPlacesAutocompleteStatus

Contains the status of the request, and may contain debugging information to help you track down why the request failed.

See PlacesAutocompleteStatus for more information.

optionalstring

When the service returns a status code other than OK, there may be an additional error_message field within the response object. This field contains more detailed information about thereasons behind the given status code. This field is not always returned, and its content is subject to change.

optionalArray<string>

When the service returns additional information about the request specification, there may be an additional info_messages field within the response object. This field is only returned for successful requests. It may not always be returned, and its content is subject to change.

PlacesAutocompleteStatus

Status codes returned by service.

  • OK indicating the API request was successful.
  • ZERO_RESULTS indicating that the search was successful but returned no results. This may occur if the search was passed a bounds in a remote location.
  • INVALID_REQUEST indicating the API request was malformed, generally due to the missing input parameter.
  • OVER_QUERY_LIMIT indicating any of the following:
    • You have exceeded the QPS limits.
    • Billing has not been enabled on your account.
    • The monthly $200 credit, or a self-imposed usage cap, has been exceeded.
    • The provided method of payment is no longer valid (for example, a credit card has expired).
    See the Maps FAQ for more information about how to resolve this error.
  • REQUEST_DENIED indicating that your request was denied, generally because:
    • The request is missing an API key.
    • The key parameter is invalid.
  • UNKNOWN_ERROR indicating an unknown error.

PlaceAutocompletePrediction

FieldRequiredTypeDescription
requiredstring

Contains the human-readable name for the returned result. For establishment results, this is usually the business name. This content is meant to be read as-is. Do not programmatically parse the formatted address.

required Array<PlaceAutocompleteMatchedSubstring>

A list of substrings that describe the location of the entered term in the prediction result text, so that the term can be highlighted if desired.

See PlaceAutocompleteMatchedSubstring for more information.

requiredPlaceAutocompleteStructuredFormat

Provides pre-formatted text that can be shown in your autocomplete results. This content is meant to be read as-is. Do not programmatically parse the formatted address.

See PlaceAutocompleteStructuredFormat for more information.

required Array<PlaceAutocompleteTerm>

Contains an array of terms identifying each section of the returned description (a section of the description is generally terminated with a comma). Each entry in the array has a value field, containing the text of the term, and an offset field, defining the start position of this term in the description, measured in Unicode characters.

See PlaceAutocompleteTerm for more information.

optionalinteger

The straight-line distance in meters from the origin. This field is only returned for requests made with an origin.

optionalstring

A textual identifier that uniquely identifies a place. To retrieve information about the place, pass this identifier in the placeId field of a Places API request. For more information about place IDs, see the Place IDs overview.

optionalstring

See place_id.

optionalArray<string>

Contains an array of types that apply to this place. For example: [ "political", "locality" ] or [ "establishment", "geocode", "beauty_salon" ]. The array can contain multiple values. Learn more about Place types.

PlaceAutocompleteMatchedSubstring

FieldRequiredTypeDescription
requirednumber

Length of the matched substring in the prediction result text.

requirednumber

Start location of the matched substring in the prediction result text.

PlaceAutocompleteStructuredFormat

FieldRequiredTypeDescription
requiredstring

Contains the main text of a prediction, usually the name of the place.

required Array<PlaceAutocompleteMatchedSubstring>

Contains an array with offset value and length. These describe the location of the entered term in the prediction result text, so that the term can be highlighted if desired.

See PlaceAutocompleteMatchedSubstring for more information.

optionalstring

Contains the secondary text of a prediction, usually the location of the place.

optional Array<PlaceAutocompleteMatchedSubstring>

Contains an array with offset value and length. These describe the location of the entered term in the prediction result text, so that the term can be highlighted if desired.

See PlaceAutocompleteMatchedSubstring for more information.

PlaceAutocompleteTerm

FieldRequiredTypeDescription
requirednumber

Defines the start position of this term in the description, measured in Unicode characters

requiredstring

The text of the term.