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Search results

When requesting results from Mapzen Search, you will always get back GeoJSON results, unless something goes terribly wrong, in which case you'll get an error message.

Tip: You can go to http://geojson.org/geojson-spec.html to learn more about the GeoJSON data format specification.

The top-level structure to every response looks like this:

{
  "geocoding":{...},
  "type":"FeatureCollection",
  "features":[...],
  "bbox":[...]
}

##List of features returned

The features property of the result is where you will find the list of results that best matched your input parameters.

Each item in this list will contain all the information needed to find it in human-readable format in the properties block, as well as computer friendly coordinates in the geometry property.

{
  "type":"Feature",
  "properties":{
    "gid":"...",
    "layer":"address",
    "source":"osm",
    "name":"30 West 26th Street",
    "housenumber":"30",
    "street":"West 26th Street",
    "postalcode":"10010",
    "country_a":"USA",
    "country":"United States",
    "region":"New York",
    "region_a":"NY",
    "county":"New York County",
    "localadmin":"Manhattan",
    "locality":"New York",
    "neighbourhood":"Flatiron District",
    "confidence":0.9624939994613662,
    "label":"30 West 26th Street, Manhattan, NY"
  },
  "geometry":{
    "type":"Point",
    "coordinates":[
      -73.990342,
      40.744243
    ]
  }
}

Notable features

GID

This is a "global id" that can be used to reference a result with the /place endpoint. It consists of an identifier for the dataset, a layer, and finally an id for the individual record. This id corresponds to stable ids from datasets wherever possible (such as the ID of an OpenStreetMap Node or Way), but not all datasets have them.

Label

The label is a human-friendly representation of the place, ready to be displayed to an end user. The label field attempts to use a format that is right for the region the result is in, although Mapzen Search only supports a few countries at the moment.

Confidence

The confidence score is an estimation of how accurately this result matches the query.

For the /reverse endpoint, the confidence score is determined solely by its distance from the coordinate specified. Closer results get a higher score.

For the /search endpoint, it primarily takes into account how well properties in the result match what was expected from parsing the input text. For example, if the input text looks like an address, but the house number of the result doesn't match the house number that was parsed from the input text, the confidence score will be lower.

Additionally, the confidence score can optionally be biased along with other results, like test scores in a classroom might be graded on a curve. This takes into account both the property matches described above and the distance between results. This relative scoring is enabled on Mapzen Search, but can be turned off when hosting your own Pelias instance.

Result count

By default, Mapzen Search results 10 places, unless otherwise specified. If you want a different number of results, set the size parameter to the desired number. This example shows returning only the first result.

parameter	value
`api_key`	get yours here
`text`	YMCA
`size`	1

/v1/search?api_key=search-XXXXXXX&text=YMCA&size=1

If you want 25 results, you can build the query where size is 25.

/v1/search?api_key=search-XXXXXXX&text=YMCA&size=25

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