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.
| Object | Description |
|---|---|
lat |
[Required] |
lon |
[Required] |
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{"type":"FeatureCollection","features":[{"type":"Feature","properties":{"datasource":{"sourcename":"openstreetmap","attribution":"© 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.
| 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":"© 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":"© 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":"© 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":"© 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'
After signing up, every developer is assigned a personal API access key, a unique combination of letters and digits provided to access to our API endpoint. To authenticate with the Location Lookup API REST API, simply include your bearer token in the Authorization header.
| 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 it’s rate is limit to prevent abuse of the service.
Sure, you can use it and pay only when you use it. The credit can’t be expired.
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.
Zyla API Hub is, in other words, an API MarketPlace. An all-in-one solution for your developing needs. You will be accessing our extended list of APIs with only your user. Also, you won't need to worry about storing API keys, only one API key for all our products is needed.
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Prices are based on a recurring monthly subscription depending on the plan selected — plus overage fees applied when a developer exceeds a plan’s quota limits. In this example, you'll see the base plan amount as well as a quota limit of API requests. Be sure to notice the overage fee because you will be charged for each additional request.
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