Endpoint Playground

Try the Find nearby stored Starbucks stores API

Test Crawlora's Find nearby stored Starbucks stores API with realistic prefilled filters. Generate a cURL request, inspect stored structured JSON records, and open the full docs or pricing page when you are ready to integrate dataset search. Dataset Playground requests query indexed data and do not apply proxy routing.

Endpoint facts

Method: GET
API path: /datasets/starbucks-stores/nearby
Platform: Datasets
Auth: apiKey
Credits: 2 credits/request
Required params: lat, lon, radius_m
Common optional params: country, amenity, page, page_size

Find nearby stored Starbucks stores API documentation Datasets platform page Crawlora API pricing Try Stored Datasets List API Try Airbnb Markets Dataset Facets API Try Airbnb Markets Dataset Country API Try Nearby Airbnb Markets Dataset API Try Airbnb Markets Dataset Search API

Prefilled cURL

curl "https://api.crawlora.net/api/v1/datasets/starbucks-stores/nearby?lat=<lat>&lon=<lon>&radius_m=<radius_m>" \
  -H "x-api-key: $CRAWLORA_API_KEY"

Request parameters visible to crawlers

Parameter	Type	Required	Description
lat	number	Yes	Center latitude, from -90 through 90
lon	number	Yes	Center longitude, from -180 through 180
radius_m	integer	Yes	Search radius in meters, 1 through 50000
country	string	No	ISO-3166-1 alpha-2 country filter
amenity	string	No	Amenity code filter, e.g. DT
page	integer	No	Page number, defaults to 1
page_size	integer	No	Page size, defaults to 20 and maxes at 100

Example JSON response

{
  "code": 200,
  "msg": "OK",
  "data": {
    "dataset": "starbucks-stores",
    "items": [
      {
        "store_number": "101-54",
        "name": "Columbia Center - 4th & Cherry",
        "country": "US",
        "latitude": 47.60422,
        "longitude": -122.33078,
        "distance_meters": 220.5
      }
    ],
    "page": 1,
    "page_size": 20,
    "total": 1,
    "sort": "distance_asc"
  }
}

Public Playground

Preview the endpoint before sending a live request

Sample responses, schemas, request previews, and code snippets are visible before sign in. Create an account when you are ready to save an API key and run authenticated requests.

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Endpoint

Choose one catalog endpoint for this request.

1 shown

Group

Method

Auth

Endpoint

GETapiKey2 credits/requestdatasets.starbucksStoresSearchResponseDocDatasets

GET /datasets/starbucks-stores/nearby

Find nearby stored Starbucks stores

API key required. Paste a full key or rotate one from the API Keys page.

Set up API key

View docs

API key

API key required for live requests. Your key is only used to send requests from this Playground.

not configured

Active Playground key: not configured

Manage API keys in Console

Required query parameters

lat

requirednumber

Center latitude, from -90 through 90lon

requirednumber

Center longitude, from -180 through 180radius_m

requiredinteger

Search radius in meters, 1 through 50000

Add an API key to send a live request.

If an active API key is configured, Copy cURL includes it. Share links never include API keys.

View docs

Sample responseGET

Shown before your first request. Add an API key and send a request to see the live response, status, latency, and headers.

{
  "code": 200,
  "msg": "OK",
  "data": {
    "dataset": "starbucks-stores",
    "items": [
      {
        "store_number": "101-54",
        "name": "Columbia Center - 4th & Cherry",
        "country": "US",
        "latitude": 47.60422,
        "longitude": -122.33078,
        "distance_meters": 220.5
      }
    ],
    "page": 1,
    "page_size": 20,
    "total": 1,
    "sort": "distance_asc"
  }
}

Endpoint details

Returns stored Starbucks stores within a radius of a point, nearest first, from dataset id `starbucks-stores`. lat, lon, and radius_m are required. Unlike the live /starbucks/stores endpoint (which caps at 50 near a point), this queries the full grid-tiled directory, so it can return every store in the radius. Dataset endpoints are built for repeatable structured search, facets, geo queries, pagination, and item lookup over indexed records. They do not trigger live scraping or proxy routing.

Method: GET
Path: /datasets/starbucks-stores/nearby
Authentication: apiKey
Credit cost: 2 credits/request
Platform: Datasets
Parameters: 8 documented fields

Request parameters

lat:querylon:queryradius_m:querycountry:queryamenity:querypage:querypage_size:queryx-api-key:header

Response schema fields

codedatadata.datasetdata.itemsdata.items[].addressdata.items[].amenitiesdata.items[].amenity_namesdata.items[].citydata.items[].countrydata.items[].crawled_atdata.items[].distance_metersdata.items[].first_seen_at

Sample response summary

{
  "code": 200,
  "msg": "OK",
  "data": {
    "dataset": "starbucks-stores",
    "items": [
      {
        "store_number": "101-54",
        "name": "Columbia Center - 4th & Cherry",
        "country": "US",
        "latitude": 47.60422,
        "longitude": -122.33078,
        "distance_meters": 220.5
      }
    ],
    "page": 1,
    "page_size": 20,
    "total": 1,
    "sort": "distance_asc"
  }
}

cURL example

curl "https://api.crawlora.net/api/v1/datasets/starbucks-stores/nearby?lat=<lat>&lon=<lon>&radius_m=<radius_m>" \
  -H "x-api-key: $CRAWLORA_API_KEY"

View endpoint docs Open platform page Browse all endpoints Pricing List stored scraped datasets Facet the Airbnb markets dataset Get an Airbnb market from the dataset Airbnb market density near a coordinate Search the Airbnb markets dataset

Endpoint Playground

Try the Find nearby stored Starbucks stores API

Endpoint facts

Method: GET
API path: /datasets/starbucks-stores/nearby
Platform: Datasets
Auth: apiKey
Credits: 2 credits/request
Required params: lat, lon, radius_m
Common optional params: country, amenity, page, page_size

Prefilled cURL

curl "https://api.crawlora.net/api/v1/datasets/starbucks-stores/nearby?lat=<lat>&lon=<lon>&radius_m=<radius_m>" \
  -H "x-api-key: $CRAWLORA_API_KEY"

Request parameters visible to crawlers

Parameter	Type	Required	Description
lat	number	Yes	Center latitude, from -90 through 90
lon	number	Yes	Center longitude, from -180 through 180
radius_m	integer	Yes	Search radius in meters, 1 through 50000
country	string	No	ISO-3166-1 alpha-2 country filter
amenity	string	No	Amenity code filter, e.g. DT
page	integer	No	Page number, defaults to 1
page_size	integer	No	Page size, defaults to 20 and maxes at 100

Example JSON response

{
  "code": 200,
  "msg": "OK",
  "data": {
    "dataset": "starbucks-stores",
    "items": [
      {
        "store_number": "101-54",
        "name": "Columbia Center - 4th & Cherry",
        "country": "US",
        "latitude": 47.60422,
        "longitude": -122.33078,
        "distance_meters": 220.5
      }
    ],
    "page": 1,
    "page_size": 20,
    "total": 1,
    "sort": "distance_asc"
  }
}

Public Playground

Preview the endpoint before sending a live request

Sample responses, schemas, request previews, and code snippets are visible before sign in. Create an account when you are ready to save an API key and run authenticated requests.

Set up API key Endpoint docs

Endpoint

Choose one catalog endpoint for this request.

1 shown

Group

Method

Auth

Endpoint

GETapiKey2 credits/requestdatasets.starbucksStoresSearchResponseDocDatasets

GET /datasets/starbucks-stores/nearby

Find nearby stored Starbucks stores

API key required. Paste a full key or rotate one from the API Keys page.

Set up API key

View docs

API key

API key required for live requests. Your key is only used to send requests from this Playground.

not configured

Active Playground key: not configured

Manage API keys in Console

Required query parameters

lat

requirednumber

Center latitude, from -90 through 90lon

requirednumber

Center longitude, from -180 through 180radius_m

requiredinteger

Search radius in meters, 1 through 50000

Add an API key to send a live request.

If an active API key is configured, Copy cURL includes it. Share links never include API keys.

View docs

Sample responseGET

Shown before your first request. Add an API key and send a request to see the live response, status, latency, and headers.

{
  "code": 200,
  "msg": "OK",
  "data": {
    "dataset": "starbucks-stores",
    "items": [
      {
        "store_number": "101-54",
        "name": "Columbia Center - 4th & Cherry",
        "country": "US",
        "latitude": 47.60422,
        "longitude": -122.33078,
        "distance_meters": 220.5
      }
    ],
    "page": 1,
    "page_size": 20,
    "total": 1,
    "sort": "distance_asc"
  }
}

Endpoint details

Method: GET
Path: /datasets/starbucks-stores/nearby
Authentication: apiKey
Credit cost: 2 credits/request
Platform: Datasets
Parameters: 8 documented fields

Request parameters

lat:querylon:queryradius_m:querycountry:queryamenity:querypage:querypage_size:queryx-api-key:header

Response schema fields

Sample response summary

{
  "code": 200,
  "msg": "OK",
  "data": {
    "dataset": "starbucks-stores",
    "items": [
      {
        "store_number": "101-54",
        "name": "Columbia Center - 4th & Cherry",
        "country": "US",
        "latitude": 47.60422,
        "longitude": -122.33078,
        "distance_meters": 220.5
      }
    ],
    "page": 1,
    "page_size": 20,
    "total": 1,
    "sort": "distance_asc"
  }
}

cURL example

curl "https://api.crawlora.net/api/v1/datasets/starbucks-stores/nearby?lat=<lat>&lon=<lon>&radius_m=<radius_m>" \
  -H "x-api-key: $CRAWLORA_API_KEY"