これは単なる関数ラッパーのために物乞いされます。また、この答えはpaste()
対sprintf()
を使用し、貼り付けられたURL文字列対実際のAPIのようなAPIを扱い、スクリプトで裸のAPIキーを持つ回避しようとします:
library(httr)
library(jsonlite)
library(purrr)
find_places <- function(query, lon, lat, radius, api_key=Sys.getenv("GOOGLE_API_KEY")) {
res <- GET("https://maps.googleapis.com/maps/api/place/textsearch/json",
query=list(query=query,
location=sprintf("%s,%s", lat, lon),
radius=radius,
key=api_key))
fromJSON(content(res, as="text"), flatten=TRUE)
}
df <- data.frame(lat=c(42.3675294, 43.6615, 43.2081),
lon=c(-71.186966, -70.2553, 71.5376))
map2(df$lon, df$lat, ~find_places("123 Main St", .x, .y, 10000)) %>%
map_df(out, "results") -> places
dplyr::glimpse(places)
## Observations: 11
## Variables: 18
## $ formatted_address <chr> "123 Main St, Watertown, MA 02472, USA"...
## $ icon <chr> "https://maps.gstatic.com/mapfiles/plac...
## $ id <chr> "b2ac1cc162773261571dd4b939b2e6c7ce4cb0...
## $ name <chr> "123 Main St", "123 Main St", "123 Main...
## $ place_id <chr> "ChIJ3aqMmgZ444kRgD5YevF7_tc", "EioxMjM...
## $ reference <chr> "CmRbAAAAo1HUpDIAKtCjc1DCe366g0ehMA_Od5...
## $ types <list> ["street_address", "street_address", "...
## $ geometry.location.lat <dbl> 42.36753, 43.63520, 43.67802, 42.36753,...
## $ geometry.location.lng <dbl> -71.18697, -70.28722, -70.33530, -71.18...
## $ geometry.viewport.northeast.lat <dbl> 42.36771, 43.63521, 43.67804, NA, 41.98...
## $ geometry.viewport.northeast.lng <dbl> -71.18689, -70.28721, -70.33529, NA, -8...
## $ geometry.viewport.southwest.lat <dbl> 42.36698, 43.63519, 43.67801, NA, 41.98...
## $ geometry.viewport.southwest.lng <dbl> -71.18720, -70.28724, -70.33530, NA, -8...
## $ photos <list> [NULL, NULL, NULL, <2112, <a href="htt...
## $ rating <dbl> NA, NA, NA, 4.7, 4.6, 4.5, 4.2, NA, 4.5...
## $ price_level <int> NA, NA, NA, NA, NA, 2, NA, NA, NA, NA, NA
## $ opening_hours.open_now <lgl> NA, NA, NA, FALSE, FALSE, FALSE, NA, NA...
## $ opening_hours.weekday_text <list> [NULL, NULL, NULL, [], [], [], NULL, N...
あなたはまた、言及したパッケージを使用することができるかもしれin this answer。