Help with nested lists in R

I've currently hit a dead end with a data cleaning problem in R. I've used the R package googleways to reverse geocode some lat long values with the code smallsample$address <- apply(smallsample, 1, function(x){ google_reverse_geocode(location = [login to view URL](c(x["[login to view URL]"], x["[login to view URL]"])), key = "xxx") }) It produces a series of nested lists inside the $address column of the smallsample data frame. The list is from the google maps API. One of the nested lists is as follows: smallsample$address$`2620`$results$address_components[[1]] long_name short_name types 1 2 2 street_number 2 Peacock Street Peacock St route 3 Brunswick West Brunswick West locality, political 4 Moreland City Moreland administrative_area_level_2, political 5 Victoria VIC administrative_area_level_1, political 6 Australia AU country, political 7 3055 3055 postal_code where 2620 is the row name. I'm interested in creating new variables in the original smallsample dataset that contains the list "types" as column names and the values of "long_name" as values. Please note that you cannot assume that the google API will return the exact same "type" values for each ping of the API. If you accept then I will send you the original R file.