In the dynamic landscape of modern technology, Location Lookup API have become indispensable tools that bridge the gap between geographic coordinates and meaningful location information. These APIs are a crucial component of location-based services, providing users with the ability to convert latitude and longitude data into human-readable addresses, opening up a myriad of applications across industries.
In essence, reverse geocoding is the process of converting geographic coordinates into a comprehensible address. While geocoding consists of transforming addresses into coordinates, reverse geocoding performs the reverse operation. The reverse geocoding API becomes the key enabler of this transformation, providing users with the means to integrate this functionality seamlessly into their applications.
Location Lookup API operate by taking latitude and longitude values as input and returning detailed address information as output. These APIs tap into extensive databases containing mapping and location data, allowing them to accurately pinpoint the corresponding address for a given set of coordinates. The process involves matching the input coordinates with the nearest known location, drawing from a vast repository of geographical information.
Precision and Accuracy: Location Lookup API are designed to deliver precise and accurate results, ensuring that the converted addresses reflect the actual location. This level of accuracy is crucial for applications where location details play a critical role, such as navigation, logistics, and emergency services.
In conclusion, Location Lookup API are a testament to the evolving landscape of location-based services. Their ability to seamlessly translate coordinates into meaningful addresses has far-reaching implications across industries, driving innovation and efficiency in applications that rely on precise location information. As technology continues to advance, the role of Location Lookup API is poised to expand, opening up new possibilities for both all types of users.
It will receive parameters and provide you with a JSON.
Navigation Apps: Enhance turn-by-turn directions by converting coordinates to readable addresses for a seamless user experience.
Logistics and Delivery: Optimize route planning and streamline delivery operations by translating coordinates into precise addresses.
Emergency Services: Swiftly pinpoint the location of incidents for rapid and accurate emergency response.
E-commerce Platforms: Offer location-specific services like local promotions, store locators, and personalized recommendations based on geographic data.
Weather Apps: Improve location-specific weather reporting by associating coordinates with accurate addresses.
Besides the number of API calls, there are no other limitations.
To use this endpoint you must indicate a latitude and longitude in the parameters.
Reverse Geocode - Endpoint Features
Object | Description |
---|---|
lat |
[Required] |
lon |
[Required] |
{"type":"FeatureCollection","features":[{"type":"Feature","properties":{"datasource":{"sourcename":"openstreetmap","attribution":"Β© OpenStreetMap contributors","license":"Open Database License","url":"https://www.openstreetmap.org/copyright"},"name":"White House","country":"United States","country_code":"us","state":"District of Columbia","city":"Washington","postcode":"20500","district":"Ward 2","street":"Pennsylvania Avenue Northwest","housenumber":"1600","lon":-77.03655315,"lat":38.897699700000004,"state_code":"DC","distance":0,"result_type":"amenity","formatted":"White House, 1600 Pennsylvania Avenue Northwest, Washington, DC 20500, United States of America","address_line1":"White House","address_line2":"1600 Pennsylvania Avenue Northwest, Washington, DC 20500, United States of America","timezone":{"name":"America/New_York","offset_STD":"-05:00","offset_STD_seconds":-18000,"offset_DST":"-04:00","offset_DST_seconds":-14400,"abbreviation_STD":"EST","abbreviation_DST":"EDT"},"plus_code":"87C4VXX7+39","rank":{"importance":0.6347211541681101,"popularity":8.615793062435909},"place_id":"5136f405e3564253c0598490e2d2e7724340f00102f901fe44330e00000000c0020192030b576869746520486f757365"},"geometry":{"type":"Point","coordinates":[-77.03655315,38.897699700000004]},"bbox":[-77.0368537,38.8974908,-77.0362519,38.897911]}],"query":{"lat":38.897675,"lon":-77.036547,"plus_code":"87C4VXX7+39"}}
curl --location --request GET 'https://zylalabs.com/api/3046/location+lookup+api/3221/reverse+geocode?lat=38.897675&lon=-77.036547' --header 'Authorization: Bearer YOUR_API_KEY'
To use this endpoint you must specify an address in the parameter.
Geocode - Endpoint Features
Object | Description |
---|---|
address |
[Required] |
{"type":"FeatureCollection","features":[{"type":"Feature","geometry":{"type":"Point","coordinates":[-77.036547,38.897675]},"properties":{"country_code":"us","housenumber":"1600","street":"Pennsylvania Avenue NW","country":"United States","county":"District of Columbia","datasource":{"sourcename":"openaddresses","attribution":"Β© OpenAddresses contributors","license":"BSD-3-Clause License"},"postcode":"20500","state":"District of Columbia","city":"Washington","suburb":"White House Grounds","state_code":"DC","lon":-77.036547,"lat":38.897675,"formatted":"1600 Pennsylvania Avenue NW, Washington, DC 20500, United States of America","address_line1":"1600 Pennsylvania Avenue NW","address_line2":"Washington, DC 20500, United States of America","timezone":{"name":"America/New_York","offset_STD":"-05:00","offset_STD_seconds":-18000,"offset_DST":"-04:00","offset_DST_seconds":-14400,"abbreviation_STD":"EST","abbreviation_DST":"EDT"},"plus_code":"87C4VXX7+39","result_type":"building","rank":{"popularity":8.615793062435909,"confidence":0.7,"confidence_city_level":1,"confidence_street_level":0.7,"match_type":"full_match"},"place_id":"5115713ac9564253c059e9b7af03e7724340c00203e203496f70656e6164647265737365733a616464726573733a75732f64632f7374617465776964652d6164647265737365732d636974792e6373763a61613533643462643066653239356265"}},{"type":"Feature","geometry":{"type":"Point","coordinates":[-76.981976,38.879213]},"properties":{"country_code":"us","housenumber":"1600","street":"Pennsylvania Avenue SE","country":"United States","county":"District of Columbia","datasource":{"sourcename":"openaddresses","attribution":"Β© OpenAddresses contributors","license":"BSD-3-Clause License"},"postcode":"20003","state":"District of Columbia","city":"Washington","suburb":"Barney Circle","state_code":"DC","lon":-76.981976,"lat":38.879213,"formatted":"1600 Pennsylvania Avenue SE, Washington, DC 20003, United States of America","address_line1":"1600 Pennsylvania Avenue SE","address_line2":"Washington, DC 20003, United States of America","timezone":{"name":"America/New_York","offset_STD":"-05:00","offset_STD_seconds":-18000,"offset_DST":"-04:00","offset_DST_seconds":-14400,"abbreviation_STD":"EST","abbreviation_DST":"EDT"},"plus_code":"87C5V2H9+M6","result_type":"building","rank":{"popularity":6.391268404135374,"confidence":0.7,"confidence_city_level":1,"confidence_street_level":0.7,"match_type":"full_match"},"place_id":"513e5dddb1d83e53c059e99b340d8a704340c00203e203496f70656e6164647265737365733a616464726573733a75732f64632f7374617465776964652d6164647265737365732d636974792e6373763a36396530353933646261343435366566"}},{"type":"Feature","geometry":{"type":"Point","coordinates":[-77.0280685,38.8951022]},"properties":{"country_code":"us","housenumber":"1600","street":"Pennsylvania Avenue Northwest","country":"United States","county":"District of Columbia","datasource":{"sourcename":"mixed"},"state":"District of Columbia","city":"Washington","suburb":"National Mall","state_code":"DC","lon":-77.0280685,"lat":38.8951022,"postcode":"20004","formatted":"1600 Pennsylvania Avenue Northwest, Washington, DC 20004, United States of America","address_line1":"1600 Pennsylvania Avenue Northwest","address_line2":"Washington, DC 20004, United States of America","timezone":{"name":"America/New_York","offset_STD":"-05:00","offset_STD_seconds":-18000,"offset_DST":"-04:00","offset_DST_seconds":-14400,"abbreviation_STD":"EST","abbreviation_DST":"EDT"},"plus_code":"87C4VXWC+2Q","result_type":"building","rank":{"popularity":8.06250055951683,"confidence":0.7,"confidence_city_level":1,"confidence_street_level":0.7,"match_type":"full_match"},"place_id":"510f63d2dfcb4153c059f0c979b592724340c00203e2031f6d697865643a616464726573733a706f6c796c696e653a3239353030343533"}},{"type":"Feature","properties":{"datasource":{"sourcename":"openstreetmap","attribution":"Β© OpenStreetMap contributors","license":"Open Database License","url":"https://www.openstreetmap.org/copyright"},"name":"Pennsylvania Avenue","country":"United States","country_code":"us","state":"District of Columbia","city":"Washington","postcode":"20045","district":"Ward 2","street":"Pennsylvania Avenue","lon":-77.0307713,"lat":38.895865,"state_code":"DC","formatted":"Pennsylvania Avenue, Washington, DC 20045, United States of America","address_line1":"Pennsylvania Avenue","address_line2":"Washington, DC 20045, United States of America","timezone":{"name":"America/New_York","offset_STD":"-05:00","offset_STD_seconds":-18000,"offset_DST":"-04:00","offset_DST_seconds":-14400,"abbreviation_STD":"EST","abbreviation_DST":"EDT"},"plus_code":"87C4VXW9+8M","result_type":"street","rank":{"importance":0.37500999999999995,"popularity":8.485326670419871,"confidence":0.5,"confidence_city_level":1,"confidence_street_level":1,"match_type":"match_by_street"},"place_id":"51f2c92f28f84153c059c6504eb4ab724340f00102f901e62cac2100000000c0020492031350656e6e73796c76616e6961204176656e7565"},"geometry":{"type":"Point","coordinates":[-77.0307713,38.895865]},"bbox":[-77.0308089,38.8958545,-77.0307313,38.8958753]},{"type":"Feature","geometry":{"type":"Point","coordinates":[-77.045926,38.901586]},"properties":{"country_code":"us","housenumber":"2019","street":"Pennsylvania Avenue","country":"United States","county":"District of Columbia","datasource":{"sourcename":"openstreetmap","attribution":"Β© OpenStreetMap contributors","license":"Open Database License","url":"https://www.openstreetmap.org/copyright"},"state":"District of Columbia","city":"Washington","suburb":"Downtown","state_code":"DC","lon":-77.045926,"lat":38.901586,"postcode":"20045","formatted":"2019 Pennsylvania Avenue, Washington, DC 20045, United States of America","address_line1":"2019 Pennsylvania Avenue","address_line2":"Washington, DC 20045, United States of America","timezone":{"name":"America/New_York","offset_STD":"-05:00","offset_STD_seconds":-18000,"offset_DST":"-04:00","offset_DST_seconds":-14400,"abbreviation_STD":"EST","abbreviation_DST":"EDT"},"plus_code":"87C4WX23+JJ","result_type":"building","rank":{"popularity":8.294584012183657,"confidence":0.5,"confidence_city_level":1,"confidence_street_level":1,"match_type":"full_match"},"place_id":"514f029b73f04253c0590744882b67734340f00102f901f878f90300000000c00203e203226f70656e7374726565746d61703a616464726573733a7761792f3636363831303830"}}],"query":{"text":"1600 Pennsylvania Ave Washington DC","parsed":{"housenumber":"1600","street":"pennsylvania ave","city":"washington","state":"dc","expected_type":"building"}}}
curl --location --request GET 'https://zylalabs.com/api/3046/location+lookup+api/3222/geocode?address=1600 Pennsylvania Ave Washington DC' --header 'Authorization: Bearer YOUR_API_KEY'
Header | Description |
---|---|
Authorization
|
[Required] Should be Bearer access_key . See "Your API Access Key" above when you are subscribed. |
No long term commitments. One click upgrade/downgrade or cancellation. No questions asked.
To use this API, users must enter a latitude and longitude or an address.
The Location Lookup API is a powerful tool that enables the conversion of geographic coordinates (latitude and longitude) into human-readable addresses and location-based information.
There are different plans suits everyone including a free trial for small amount of requests, but itβs rate is limit to prevent abuse of the service.
Zyla provides a wide range of integration methods for almost all programming languages. You can use these codes to integrate with your project as you need.
The GET Reverse Geocode endpoint returns detailed address information, including the formatted address, city, state, country, and postal code. The GET Geocode endpoint provides geographic coordinates (latitude and longitude) along with the formatted address and additional location details.
Key fields in the response include "formatted" (full address), "city," "state," "country," "postcode," "lat," and "lon." These fields help users identify the precise location and its human-readable address.
The response data is structured as a JSON object containing a "FeatureCollection." Each feature includes properties like address details and geographic coordinates, allowing for easy parsing and integration into applications.
The GET Reverse Geocode endpoint provides human-readable addresses from coordinates, while the GET Geocode endpoint returns coordinates from addresses. Both endpoints include additional metadata like country codes and time zones.
The API utilizes data from reputable sources such as OpenStreetMap and OpenAddresses. These sources ensure comprehensive and up-to-date geographic information for accurate address conversion.
Users can customize requests by specifying latitude and longitude for reverse geocoding or an address for geocoding. Additional parameters may include filters for specific data types or regions, depending on the API's capabilities.
Users can extract key fields like "formatted" for display purposes, "lat" and "lon" for mapping, and "city" or "state" for location-based services. This data can enhance applications in navigation, logistics, and emergency response.
Typical use cases include enhancing navigation apps with readable addresses, optimizing delivery routes, providing location-specific services in e-commerce, and improving emergency response by quickly identifying incident locations.
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