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Parse and geolocate an address automatically
Parse and geolocate an address automatically

How to extract the street, city, state, zip code, coordinates and more from an address location

Updated over a week ago


This article assumes you know how to use field formats to normalize and format your data in Parseur. Check out this article for more information.

Address format

Parseur can automatically parse and normalize an address location. It can also fill in the gaps for partial addresses, determine coordinates, and provide a Google Maps link.

Example: Say you have the following address in your document: 500 Chartres Street Appt 34, New Orleans

Capturing that address in a field named "Location" with an Address format will give you the following results:

  • Location.original: 500 Chartres Street Appt 34, New Orleans

  • Location.normalized: 500 Chartres St #34, New Orleans, LA 70130, USA

  • Location.number: 500

  • Location.street: Chartres St

  • Location.address1: 500 Chartres St

  • Location.address2: #34

  • New Orleans

  • 70130

  • Location.county: Orleans Parish

  • Location.state: Louisiana

  • Location.state_code: LA

  • United States

  • Location.country_code: US

  • Location.found: True

  • 29.9558754

  • Location.lng: -90.065056

  • link

In the event that Parseur is not able to determine the address, it will set the found flag to false. The result will look like this:

  • Location.original: 220 Strangely named road

  • Location.found: False

  • Location.normalized: 220 Strangely named road

My address wasn't located correctly, what can I do?

For best results, make sure you capture the full address, including street number and name, city, state, zip, and country. If you only capture a partial address, it is possible that your address won't be found or that it will be wrongly geolocated.

Parseur uses the Google Maps API under the hood to locate and geocode addresses. You can test the address geolocation feature on this page:

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