If you have the location name and address for a POI, use lookup: location_name & address to retrieve the geospatial coordinates for that place.
query {
lookup(
query: {
location_name: "Pier 39"
street_address: "39 Pier 39"
city: "San Francisco"
region: "CA"
iso_country_code: "US"
}
) {
placekey
safegraph_core {
location_name
street_address
city
region
iso_country_code
postal_code
latitude
longitude
}
}
}
curl --location --request POST 'https://api.safegraph.com/v1/graphql' \
--header 'apikey: {your-api-key}' \
--header 'content-type: application/json' \
--data-raw '{"query":"query {\n\tlookup(\n query: {\n location_name: \"Pier 39\"\n street_address: \"39 Pier 39\"\n city: \"San Francisco\"\n region: \"CA\"\n iso_country_code: \"US\"\n }\n ) {\n placekey\n safegraph_core {\n location_name\n street_address\n city\n region\n iso_country_code\n postal_code\n latitude\n longitude\n \t}\n }\n}","variables":{}}'
# pip install safegraphQL
import safegraphql.client as sgql
sgql_client = sgql.HTTP_Client(apikey = 'your-api-key')
location_name = 'Pier 39'
street_address = '39 Pier 39'
city = 'San Francisco'
region = 'CA'
iso_country_code = 'US'
cols = [
'location_name',
'street_address',
'city',
'region',
'iso_country_code',
'postal_code',
'latitude',
'longitude'
]
sgql_client.lookup_by_name(
product = 'core',
location_name = location_name,
street_address = street_address,
city = city,
region = region,
iso_country_code = iso_country_code,
columns = cols
)
{
"data": {
"lookup": {
"placekey": "[email protected]",
"safegraph_core": {
"location_name": "Pier 39",
"street_address": "39 Pier 39",
"city": "San Francisco",
"region": "CA",
"iso_country_code": "US",
"postal_code": "94133",
"latitude": 37.808961,
"longitude": -122.409856
}
}
},
"extensions": {
"row_count": 1,
"version_date": "1627739802__2021_07"
}
}