CODEWITHSUNDEEP
rgoogle-mapsgoogle-maps-api-2geocodeggmap
L P
L P

Reputation: 321

Increase the api limit in ggmap's geocode function (in R)

I'm trying to use the geocode function from the ggmaps library in R to get coordinates for specific locations. I'm able to use the function fine so far.

The issue I'm running into is that I would like to increase my daily limit from 2,500 to 100,000. The official Google documentation says that this is readily possible if you enable billing on the project, which I'm happy to do. When you proceed with this process, the Google Developers Console gives you a personalized API key.

However, the geocode function doesn't have an option to put in this personalized API key. Instead, it asks for the client (client ID for business users) and signature(signature for business users), which is how Google Maps API for Work customers can access the API. I get that this is also an option, but that seems to be a very use case, since Google Maps API for Work seems to be designed for large enterprise accounts:

Daily quota starting at 100,000 requests per 24 hours, based on annual contractual purchase.

So my question boils down to this: can I use the geocode function from the ggmapslibrary in R to ping the Google Maps Geocoding API?

Upvotes: 15

Views: 10270

Answers (4)

SymbolixAU
SymbolixAU

Reputation: 26258

I've written the package googleway to access google maps API where you can specify your api key.

For example

library(googleway)

key <- "your_api_key"

google_geocode(address = "San Francisco",
               key = key)

# $results
# address_components
# 1 San Francisco, San Francisco County, California, United States, SF, San Francisco County, CA, US, locality, political, administrative_area_level_2, political, administrative_area_level_1, political, country, political
# formatted_address geometry.bounds.northeast.lat geometry.bounds.northeast.lng geometry.bounds.southwest.lat
# 1 San Francisco, CA, USA                      37.92977                     -122.3279                      37.69313
# geometry.bounds.southwest.lng geometry.location.lat geometry.location.lng geometry.location_type
# 1                     -123.1661              37.77493             -122.4194            APPROXIMATE
# geometry.viewport.northeast.lat geometry.viewport.northeast.lng geometry.viewport.southwest.lat
# 1                          37.812                       -122.3482                         37.7034
# geometry.viewport.southwest.lng                    place_id               types
# 1                        -122.527 ChIJIQBpAG2ahYAR_6128GcTUEo locality, political
# 
# $status
# [1] "OK"

Upvotes: 14

Olivier
Olivier

Reputation: 376

With ggmap version 2.7 or greater (as of 13 Dec, not yet available on Cran, but you can install with devtools::install_github("dkahle/ggmap"), you simply need to run register_google(key = 'LONG KEY STRING') and then you can call any of the ggmap functions such as geocode or mutate_geocode and use your API key.

Upvotes: 14

L P
L P

Reputation: 321

I didn't find a way to use the existing geocode function (from the ggmap library) to answer this question, so I just created a new function to just do this myself using the existing getURL function (from the RCurl library) and the fromJSON function (from the RJSONIO library).

Write the new function:

library(RJSONIO)
library(RCurl)

getGeoData <- function(location){
  location <- gsub(' ','+',location)
  geo_data <- getURL(paste("https://maps.googleapis.com/maps/api/geocode/json?address=",location,"&key=**[YOUR GOOGLE API KEY HERE]**", sep=""))
  raw_data_2 <- fromJSON(geo_data)
  return(raw_data_2)
}

Test: getGeoData("San Francisco")

This gives you a list with the same data that's almost (but not quite) in the same exact format as the list produced by geocode("San Francisco").

Upvotes: 5

R. Jutras
R. Jutras

Reputation: 331

Thanks for this! It helped me along immensely. Your solution is pretty specific, so I wanted to include the adaptations I made of your function. It threw bugs because raw_data and geo_data_list are undefined. I'm guessing these were specific to your local environment.

For me, inputting a location and returning the lat, lon worked with this:

 getGeoData <- function(location, api_key){
  location <- gsub(' ','+',location)
  geo_data <- getURL(paste("https://maps.googleapis.com/maps/api/geocode/json?address=",location,sprintf("&key=%s",api_key), sep=""))
  geo_data <- fromJSON(geo_data)
  return(geo_data$results[[1]]$geometry$location)
}

You can modify the return statement to index into geo_data to get different properties other than lat lon too.

Hope this helps someone.

R

Upvotes: 6

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