哪里是一个很好的地址解析器

本文介绍了哪里是一个很好的地址解析器的处理方法，对大家解决问题具有一定的参考价值，需要的朋友们下面随着小编来一起学习吧！

问题描述

我在找一个很好的工具，可以采取一个完整的邮寄地址，格式为显示或邮寄标签的使用，并将其转换成一个结构化的对象。

I'm looking for a good tool that can take a full mailing address, formatted for display or use with a mailing label, and convert it into a structured object.

因此，例如：

// Start with a formatted address in a single string
string f = "18698 E. Main Street\r\nBig Town, AZ, 86011";

// Parse into address
Address addr = new Address(f);

addr.Street; // 18698 E. Main Street
addr.Locality; // Big Town
addr.Region; // AZ
addr.PostalCode; // 86011

现在，我可以做到这一点使用正则表达式。但棘手的部分是保持它足够通用在世界上处理任何地址！

Now I could do this using RegEx. But the tricky part is keeping it general enough to handle any address in the world!

我敢肯定，必须有东西在那里，可以做到这一点。

I'm sure there has to be something out there that can do it.

如果有人注意到，这其实是对<一个格式href=\"http://$c$c.google.com/apis/opensocial/docs/0.8/reference/#opensocial.Address\">opensocial.address对象。

If anyone noticed, this is actually the format of the opensocial.address object.

推荐答案

该GOOGLEMAPS API的工作pretty好这一点。例如，假设您将得到字符串120瓦特45 ST NYC。它传递到像这样的GoogleMaps API： http://maps.google.com/maps/geo?q=120+w+45+st+nyc ，你会得到这样的响应：

The Googlemaps API works pretty well for this. E.g., suppose you are given the string "120 w 45 st nyc". Pass it into the Googlemaps API like so: http://maps.google.com/maps/geo?q=120+w+45+st+nyc and you get this response:

{
  "name": "120 w 45 st nyc",
  "Status": {
    "code": 200,
    "request": "geocode"
  },
  "Placemark": [ {
    "id": "p1",
    "address": "120 W 45th St, New York, NY 10036, USA",
    "AddressDetails": {"Country": {"CountryNameCode": "US","CountryName": "USA","AdministrativeArea": {"AdministrativeAreaName": "NY","Locality": {"LocalityName": "New York","Thoroughfare":{"ThoroughfareName": "120 W 45th St"},"PostalCode": {"PostalCodeNumber": "10036"}}}},"Accuracy": 8},
    "ExtendedData": {
      "LatLonBox": {
        "north": 40.7603883,
        "south": 40.7540931,
        "east": -73.9807141,
        "west": -73.9870093
      }
    },
    "Point": {
      "coordinates": [ -73.9838617, 40.7572407, 0 ]
    }
  } ]
}

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GEO