The Nearby Sites By Coordinates API is a powerful tool that enables developers to easily retrieve a list of nearby places based on a set of origin coordinates. This API allows users to filter search results by categories and radius, making it an excellent resource for location-based applications that need to display nearby points of interest to users.
One of the key benefits of the Nearby Sites By Coordinates API is its ability to sort results in ascending order based on distance from the specified coordinates. This feature allows users to quickly and easily identify the closest points of interest, making it an essential tool for navigation and mapping applications.
Additionally, the API's ability to filter results by category and radius provides a high degree of flexibility for developers. Whether you're building a travel app that needs to display nearby restaurants and attractions, or a real estate app that needs to display nearby homes for sale, this API can help you provide users with accurate and relevant search results.
Overall, the Nearby Sites By Coordinates API is a valuable resource for any developer building a location-based application. With its powerful search capabilities and flexible filtering options, it's an essential tool for providing users with accurate and relevant information about nearby places of interest.
It will receive parameters and provide you with a JSON.
Travel apps: Display nearby hotels, restaurants, and tourist attractions to help travelers navigate new cities.
Real estate apps: Show nearby homes and apartments for sale or rent to help users find a new place to live.
Event apps: Display nearby concerts, festivals, and other events to help users plan their weekends.
Fitness apps: Show nearby gyms, parks, and hiking trails to help users find places to exercise.
Ride-hailing apps: Display nearby pickup points and drop-off locations for riders and drivers.
Emergency services: Help first responders locate nearby hospitals, police stations, and fire departments.
Retail apps: Show nearby stores and shopping centers to help users find what they're looking for.
Social networking apps: Display nearby friends and potential matches to help users connect with others.
Delivery apps: Display nearby restaurants and stores for users to order food and products from.
Navigation apps: Show nearby gas stations, rest stops, and other points of interest to help users on long trips.
Basic Plan: 5,000 API Calls Per Month. 200 / Day
Pro Plan: 10,000 API Calls. 500 / Day
Pro Plus Plan: 30,000 API Calls. 1,500 / Day
The Fetch Categories Of Sites endpoint is a useful feature of the Nearby Sites By Coordinates API. This endpoint allows users to retrieve a list of all available categories that can be used in conjunction with the Fetch Nearby Sites By Coordinates endpoint. By providing users with a comprehensive list of categories, developers can ensure that their location-based applications are accurately displaying nearby points of interest that are relevant to their users. The Fetch Categories Of Sites endpoint is an essential tool for any developer looking to incorporate accurate and relevant location-based data into their applications.
["accommodation","accommodation.hotel","accommodation.hut","accommodation.apartment","accommodation.chalet","accommodation.guest_house","accommodation.hostel","accommodation.motel","activity","activity.community_center","activity.sport_club","commercial","commercial.supermarket","commercial.marketplace","commercial.shopping_mall","commercial.department_store","commercial.elektronics","commercial.outdoor_and_sport","commercial.outdoor_and_sport.water_sports","commercial.outdoor_and_sport.ski","commercial.outdoor_and_sport.diving","commercial.outdoor_and_sport.hunting","commercial.outdoor_and_sport.bicycle","commercial.outdoor_and_sport.fishing","commercial.outdoor_and_sport.golf","commercial.vehicle","commercial.hobby","commercial.hobby.model","commercial.hobby.anime","commercial.hobby.collecting","commercial.hobby.games","commercial.hobby.brewing","commercial.hobby.photo","commercial.hobby.music","commercial.hobby.sewing_and_knitting","commercial.hobby.art","commercial.books","commercial.gift_and_souvenir","commercial.stationery","commercial.newsagent","commercial.tickets_and_lottery","commercial.clothing","commercial.clothing.shoes","commercial.clothing.clothes","commercial.clothing.underwear","commercial.clothing.sport","commercial.clothing.men","commercial.clothing.women","commercial.clothing.kids","commercial.clothing.accessories","commercial.bag","commercial.baby_goods","commercial.agrarian","commercial.garden","commercial.houseware_and_hardware","commercial.houseware_and_hardware.doityourself","commercial.houseware_and_hardware.hardware_and_tools","commercial.houseware_and_hardware.building_materials","commercial.houseware_and_hardware.building_materials.paint","commercial.houseware_and_hardware.building_materials.glaziery","commercial.houseware_and_hardware.building_materials.doors","commercial.houseware_and_hardware.building_materials.tiles","commercial.houseware_and_hardware.building_materials.windows","commercial.houseware_and_hardware.building_materials.flooring","commercial.houseware_and_hardware.fireplace","commercial.houseware_and_hardware.swimming_pool","commercial.florist","commercial.furniture_and_interior","commercial.furniture_and_interior.lighting","commercial.furniture_and_interior.curtain","commercial.furniture_and_interior.carpet","commercial.furniture_and_interior.kitchen","commercial.furniture_and_interior.bed","commercial.furniture_and_interior.bathroom","commercial.chemist","commercial.health_and_beauty","commercial.health_and_beauty.pharmacy","commercial.health_and_beauty.optician","commercial.health_and_beauty.medical_supply","commercial.health_and_beauty.hearing_aids","commercial.health_and_beauty.herbalist","commercial.health_and_beauty.cosmetics","commercial.health_and_beauty.wigs","commercial.toy_and_game","commercial.pet","commercial.food_and_drink","commercial.food_and_drink.bakery","commercial.food_and_drink.deli","commercial.food_and_drink.frozen_food","commercial.food_and_drink.pasta","commercial.food_and_drink.spices","commercial.food_and_drink.organic","commercial.food_and_drink.honey","commercial.food_and_drink.rice","commercial.food_and_drink.nuts","commercial.food_and_drink.health_food","commercial.food_and_drink.ice_cream","commercial.food_and_drink.seafood","commercial.food_and_drink.fruit_and_vegetable","commercial.food_and_drink.farm","commercial.food_and_drink.confectionery","commercial.food_and_drink.chocolate","commercial.food_and_drink.butcher","commercial.food_and_drink.cheese_and_dairy","commercial.food_and_drink.drinks","commercial.food_and_drink.coffee_and_tea","commercial.convenience","commercial.discount_store","commercial.smoking","commercial.second_hand","commercial.gas","commercial.weapons","commercial.pyrotechnics","commercial.energy","commercial.wedding","commercial.jewelry","commercial.watches","commercial.art","commercial.antiques","commercial.video_and_music","commercial.erotic","commercial.trade","commercial.kiosk","catering","catering.restaurant","catering.restaurant.pizza","catering.restaurant.burger","catering.restaurant.regional","catering.restaurant.italian","catering.restaurant.chinese","catering.restaurant.sandwich","catering.restaurant.chicken","catering.restaurant.mexican","catering.restaurant.japanese","catering.restaurant.american","catering.restaurant.kebab","catering.restaurant.indian","catering.restaurant.asian","catering.restaurant.sushi","catering.restaurant.french","catering.restaurant.german","catering.restaurant.thai","catering.restaurant.greek","catering.restaurant.seafood","catering.restaurant.fish_and_chips","catering.restaurant.steak_house","catering.restaurant.international","catering.restaurant.tex-mex","catering.restaurant.vietnamese","catering.restaurant.turkish","catering.restaurant.korean","catering.restaurant.noodle","catering.restaurant.barbecue","catering.restaurant.spanish","catering.restaurant.fish","catering.restaurant.ramen","catering.restaurant.mediterranean","catering.restaurant.friture","catering.restaurant.beef_bowl","catering.restaurant.lebanese","catering.restaurant.wings","catering.restaurant.georgian","catering.restaurant.tapas","catering.restaurant.indonesian","catering.restaurant.arab","catering.restaurant.portuguese","catering.restaurant.russian","catering.restaurant.filipino","catering.restaurant.african","catering.restaurant.malaysian","catering.restaurant.caribbean","catering.restaurant.peruvian","catering.restaurant.bavarian","catering.restaurant.brazilian","catering.restaurant.curry","catering.restaurant.dumpling","catering.restaurant.persian","catering.restaurant.argentinian","catering.restaurant.oriental","catering.restaurant.balkan","catering.restaurant.moroccan","catering.restaurant.pita","catering.restaurant.ethiopian","catering.restaurant.taiwanese","catering.restaurant.latin_american","catering.restaurant.hawaiian","catering.restaurant.irish","catering.restaurant.austrian","catering.restaurant.croatian","catering.restaurant.danish","catering.restaurant.tacos","catering.restaurant.bolivian","catering.restaurant.hungarian","catering.restaurant.western","catering.restaurant.european","catering.restaurant.jamaican","catering.restaurant.cuban","catering.restaurant.soup","catering.restaurant.uzbek","catering.restaurant.nepalese","catering.restaurant.czech","catering.restaurant.syrian","catering.restaurant.afghan","catering.restaurant.malay","catering.restaurant.chili","catering.restaurant.belgian","catering.restaurant.ukrainian","catering.restaurant.swedish","catering.restaurant.pakistani","catering.fast_food","catering.fast_food.pizza","catering.fast_food.burger","catering.fast_food.sandwich","catering.fast_food.kebab","catering.fast_food.fish_and_chips","catering.fast_food.noodle","catering.fast_food.ramen","catering.fast_food.wings","catering.fast_food.tapas","catering.fast_food.pita","catering.fast_food.tacos","catering.fast_food.soup","catering.fast_food.salad","catering.fast_food.hot_dog","catering.cafe","catering.cafe.waffle","catering.cafe.ice_cream","catering.cafe.coffee_shop","catering.cafe.donut","catering.cafe.crepe","catering.cafe.bubble_tea","catering.cafe.cake","catering.cafe.frozen_yogurt","catering.cafe.dessert","catering.cafe.coffee","catering.cafe.tea","catering.food_court","catering.bar","catering.pub","catering.ice_cream","catering.biergarten","education","education.school","education.driving_school","education.music_school","education.language_school","education.library","education.college","education.university","childcare","childcare.kindergarten","entertainment","entertainment.culture","entertainment.culture.theatre","entertainment.culture.arts_centre","entertainment.culture.gallery","entertainment.zoo","entertainment.aquarium","entertainment.planetarium","entertainment.museum","entertainment.cinema","entertainment.amusement_arcade","entertainment.escape_game","entertainment.miniature_golf","entertainment.bowling_alley","entertainment.flying_fox","entertainment.theme_park","entertainment.water_park","healthcare","healthcare.clinic_or_praxis","healthcare.clinic_or_praxis.allergology","healthcare.clinic_or_praxis.vascular_surgery","healthcare.clinic_or_praxis.urology","healthcare.clinic_or_praxis.trauma","healthcare.clinic_or_praxis.rheumatology","healthcare.clinic_or_praxis.radiology","healthcare.clinic_or_praxis.pulmonology","healthcare.clinic_or_praxis.psychiatry","healthcare.clinic_or_praxis.paediatrics","healthcare.clinic_or_praxis.otolaryngology","healthcare.clinic_or_praxis.orthopaedics","healthcare.clinic_or_praxis.ophthalmology","healthcare.clinic_or_praxis.occupational","healthcare.clinic_or_praxis.gynaecology","healthcare.clinic_or_praxis.general","healthcare.clinic_or_praxis.gastroenterology","healthcare.clinic_or_praxis.endocrinology","healthcare.clinic_or_praxis.dermatology","healthcare.clinic_or_praxis.cardiology","healthcare.dentist","healthcare.dentist.orthodontics","healthcare.hospital","healthcare.pharmacy","heritage","heritage.unesco","leisure","leisure.picnic","leisure.picnic.picnic_site","leisure.picnic.picnic_table","leisure.picnic.bbq","leisure.playground","leisure.spa","leisure.spa.public_bath","leisure.spa.sauna","leisure.park","leisure.park.garden","leisure.park.nature_reserve","man_made","man_made.pier","man_made.breakwater","man_made.tower","man_made.water_tower","man_made.bridge","man_made.lighthouse","man_made.windmill","man_made.watermill","natural","natural.forest","natural.water","natural.water.spring","natural.water.reef","natural.water.hot_spring","natural.water.geyser","natural.water.sea","natural.mountain","natural.mountain.peak","natural.mountain.glacier","natural.mountain.cliff","natural.mountain.rock","natural.mountain.cave_entrance","natural.sand","natural.sand.dune","natural.protected_area","national_park","office","office.government","office.government.administrative","office.government.register_office","office.government.tax","office.government.public_service","office.government.ministry","office.government.healthcare","offic...
curl --location --request GET 'https://zylalabs.com/api/1746/nearby+sites+by+coordinates+api/1359/fetch+categories+of+sites' --header 'Authorization: Bearer YOUR_API_KEY'
The Fetch Nearby Sites By Coordinates endpoint is a powerful feature of the Nearby Sites By Coordinates API. This endpoint allows users to retrieve a list of nearby places based on a set of origin coordinates, sorted by the distance in ascending order. Additionally, users can filter results by categories and radius to ensure that search results are relevant and accurate. This endpoint is ideal for developers building location-based applications that need to display nearby points of interest to users, whether it be for travel, real estate, social networking, or emergency services. The Fetch Nearby Sites By Coordinates endpoint is a valuable tool for any developer looking to incorporate accurate and relevant location-based data into their applications.
NOTE: Returns up to 60 sites per request.
Fetch Nearby Sites By Coordinates - Endpoint Features
| Object | Description |
|---|---|
lat |
[Required] Latitude. For example: 40.748817 |
lon |
[Required] Longitude. For example: -73.985428 |
categories |
[Optional] This can be found in the endpoint Fetch Categories Of Sites. If it is not specified it will take catering.cafe by default. |
radius |
[Optional] In meters. If it is not specified it will take 200 by default. The maximum is 50000. |
{"status":"OK","results":[{"location":{"lat":"40.7481846","lng":"-73.9856870"},"name":"Starbucks","country":"United States","state":"New York","postal_code":"10118","city":"New York","street":"5th Avenue","address":"350 5th Avenue, New York, NY 10118, United States of America","formatted_address":"Starbucks, 350 5th Avenue, New York, NY 10118, United States of America","distanceMeter":"74.00","place_id":"51e845ed7e157f52c0590ef75283c45f4440f00103f901641ca53400000000920309537461726275636b73"},{"location":{"lat":"40.7485816","lng":"-73.9863247"},"name":"Kawande Martin Cafe","country":"United States","state":"New York","postal_code":"10001","city":"New York","street":"West 33rd Street","address":"West 33rd Street, New York, NY 10001, United States of America","formatted_address":"Kawande Martin Cafe, West 33rd Street, New York, NY 10001, United States of America","distanceMeter":"80.00","place_id":"512a6fa2f11f7f52c05935f99985d15f4440f00103f901261d6435010000009203134b6177616e6465204d617274696e2043616665"},{"location":{"lat":"40.7491000","lng":"-73.9839030"},"name":"Starbucks","country":"United States","state":"New York","postal_code":"10016","city":"New York","street":"East 35th Street","address":"East 35th Street, New York, NY 10016, United States of America","formatted_address":"Starbucks, East 35th Street, New York, NY 10016, United States of America","distanceMeter":"133.00","place_id":"51ecdb4944f87e52c059277f4182e25f4440f00103f9010247a43400000000920309537461726275636b73"},{"location":{"lat":"40.7476635","lng":"-73.9864189"},"name":"Tea Makers","country":"United States","state":"New York","postal_code":"10001","city":"New York","street":"West 32nd Street","address":"15 West 32nd Street, New York, NY 10001, United States of America","formatted_address":"Tea Makers, 15 West 32nd Street, New York, NY 10001, United States of America","distanceMeter":"153.00","place_id":"5101eabc7c217f52c059683c0570b35f4440f00103f901917c911a0200000092030a546561204d616b657273"},{"location":{"lat":"40.7476872","lng":"-73.9864866"},"name":"Grace Street","country":"United States","state":"New York","postal_code":"10001","city":"New York","street":"West 32nd Street","address":"17 West 32nd Street, New York, NY 10001, United States of America","formatted_address":"Grace Street, 17 West 32nd Street, New York, NY 10001, United States of America","distanceMeter":"154.00","place_id":"514f3cb198227f52c0593399d436b45f4440f00103f9013c92090c0200000092030c477261636520537472656574"},{"location":{"lat":"40.7479431","lng":"-73.9871020"},"name":"Machi Machi","country":"United States","state":"New York","postal_code":"10001","city":"New York","street":"West 32nd Street","address":"33 West 32nd Street, New York, NY 10001, United States of America","formatted_address":"Machi Machi, 33 West 32nd Street, New York, NY 10001, United States of America","distanceMeter":"171.00","place_id":"513cf4ddad2c7f52c059fda97999bc5f4440f00103f901af04dc3e0200000092030b4d61636869204d61636869"},{"location":{"lat":"40.7473548","lng":"-73.9862282"},"name":"Paris Baguette","country":"United States","state":"New York","postal_code":"10001","city":"New York","street":"West 32nd Street","address":"6 West 32nd Street, New York, NY 10001, United States of America","formatted_address":"Paris Baguette, 6 West 32nd Street, New York, NY 10001, United States of America","distanceMeter":"176.00","place_id":"512659e25c1e7f52c059a4087552a95f4440f00103f901a02869730100000092030e5061726973204261677565747465"},{"location":{"lat":"40.7474567","lng":"-73.9865203"},"name":"Gong Cha","country":"United States","state":"New York","postal_code":"10001","city":"New York","street":"West 32nd Street","address":"12 West 32nd Street, New York, NY 10001, United States of America","formatted_address":"Gong Cha, 12 West 32nd Street, New York, NY 10001, United States of America","distanceMeter":"177.00","place_id":"51c4550a26237f52c059159e41a9ac5f4440f00103f901277a1c7501000000920308476f6e6720436861"},{"location":{"lat":"40.7480440","lng":"-73.9873353"},"name":"caffé bene","country":"United States","state":"New York","postal_code":"10001","city":"New York","street":"West 32nd Street","address":"39 West 32nd Street, New York, NY 10001, United States of America","formatted_address":"caffé bene, 39 West 32nd Street, New York, NY 10001, United States of America","distanceMeter":"183.00","place_id":"51edeb6580307f52c059a0c3e2e7bf5f4440f00103f9015d0a3a730100000092030b63616666c3a92062656e65"}]}
curl --location --request GET 'https://zylalabs.com/api/1746/nearby+sites+by+coordinates+api/1360/fetch+nearby+sites+by+coordinates?lat=40.748817&lon=-73.985428' --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 commitment. Upgrade, downgrade, or cancel anytime. Free Trial includes up to 50 requests.
The "Fetch Categories Of Sites" endpoint returns a list of available categories for filtering nearby sites. The "Fetch Nearby Sites By Coordinates" endpoint returns detailed information about nearby places, including their names, locations, addresses, and distances from the specified coordinates.
Key fields in the response include "name" (place name), "location" (latitude and longitude), "address" (formatted address), "distanceMeter" (distance from origin), and "place_id" (unique identifier for the place).
The response data is structured in JSON format. For nearby sites, it includes a "status" field and a "results" array containing objects with details about each site, such as location, name, and address.
Users can customize requests using parameters like "coordinates" (latitude and longitude), "radius" (search distance), and "category" (specific types of places) to filter results according to their needs.
The "Fetch Categories Of Sites" endpoint provides a comprehensive list of categories for filtering, while the "Fetch Nearby Sites By Coordinates" endpoint offers detailed information about nearby places, including their names, locations, and distances.
Data accuracy is maintained through regular updates and quality checks from reliable sources. The API aggregates information from various databases to ensure that the data reflects current locations and categories.
Typical use cases include travel apps displaying nearby attractions, real estate apps showing homes for sale, and fitness apps locating gyms or parks. The API is versatile for any location-based application.
Users can leverage the returned data to display relevant nearby places in their applications. By sorting results by distance and filtering by category, developers can enhance user experience with accurate and timely information.
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