Extracting JSON data from Google geocoding API in

2019-08-18 14:52发布

I'm quite new to Json data structure and so unable to extract data from it.

This is the sample rows from Json data which is stored in csv file

row1)   {"results":[{"address_components":[{"long_name":"16","short_name":"16","types":["street_number"]},{"long_name":"Bhagwan Tatyasaheb Kawade Road","short_name":"BT Kawde Road","types":["route"]},{"long_name":"Palmgrove Society","short_name":"Palmgrove Society","types":["neighborhood","political"]},{"long_name":"Uday Baug","short_name":"Uday Baug","types":["political","sublocality","sublocality_level_2"]},{"long_name":"Ghorpadi","short_name":"Ghorpadi","types":["political","sublocality","sublocality_level_1"]},{"long_name":"Pune","short_name":"Pune","types":["locality","political"]},{"long_name":"Pune","short_name":"Pune","types":["administrative_area_level_2","political"]},{"long_name":"Maharashtra","short_name":"MH","types":["administrative_area_level_1","political"]},{"long_name":"India","short_name":"IN","types":["country","political"]},{"long_name":"411001","short_name":"411001","types":["postal_code"]}],"formatted_address":"16, BT Kawade Road, Palmgrove Society, Uday Baug, Ghorpadi, Pune, Maharashtra 411001, India","geometry":{"location":{"lat":18.5132611,"lng":73.907346},"location_type":"ROOFTOP","viewport":{"northeast":{"lat":18.5146100802915,"lng":73.90869498029151},"southwest":{"lat":18.51191211970849,"lng":73.90599701970851}}},"place_id":"ChIJo1QsU7nBwjsRiewRdiNc2i4","types":["street_address"]},{"address_components":[{"long_name":"Jambhulkar Mala","short_name":"Jambhulkar Mala","types":["political","sublocality","sublocality_level_2"]},{"long_name":"Wanowrie","short_name":"Wanowrie","types":["political","sublocality","sublocality_level_1"]},{"long_name":"Pune","short_name":"Pune","types":["locality","political"]},{"long_name":"Pune","short_name":"Pune","types":["administrative_area_level_2","political"]},{"long_name":"Maharashtra","short_name":"MH","types":["administrative_area_level_1","political"]},{"long_name":"India","short_name":"IN","types":["country","political"]}],"formatted_address":"Jambhulkar Mala, Wanowrie, Pune, Maharashtra, India","geometry":{"bounds":{"northeast":{"lat":18.510584,"lng":73.9071699},"southwest":{"lat":18.5064841,"lng":73.89949709999999}},"location":{"lat":18.508659,"lng":73.9029138},"location_type":"APPROXIMATE","viewport":{"northeast":{"lat":18.510584,"lng":73.9071699},"southwest":{"lat":18.5064841,"lng":73.89949709999999}}},"place_id":"ChIJJ0lCDMfBwjsRrPmUq2ZOxd8","types":["political","sublocality","sublocality_level_2"]},{"address_components":[{"long_name":"Wanowrie","short_name":"Wanowrie","types":["political","sublocality","sublocality_level_1"]},{"long_name":"Pune","short_name":"Pune","types":["locality","political"]},{"long_name":"Pune","short_name":"Pune","types":["administrative_area_level_2","political"]},{"long_name":"Maharashtra","short_name":"MH","types":["administrative_area_level_1","political"]},{"long_name":"India","short_name":"IN","types":["country","political"]}],"formatted_address":"Wanowrie, Pune, Maharashtra, India","geometry":{"bounds":{"northeast":{"lat":18.512962,"lng":73.9174169},"southwest":{"lat":18.480897,"lng":73.8890401}},"location":{"lat":18.4828904,"lng":73.9016832},"location_type":"APPROXIMATE","viewport":{"northeast":{"lat":18.512962,"lng":73.9174169},"southwest":{"lat":18.480897,"lng":73.8890401}}},"place_id":"ChIJ8TQ7l8LBwjsROUGpMh25HMw","types":["political","sublocality","sublocality_level_1"]},{"address_components":[{"long_name":"Pune","short_name":"Pune","types":["locality","political"]},{"long_name":"Prabhag 36","short_name":"Prabhag 36","types":["administrative_area_level_3","political"]},{"long_name":"Pune","short_name":"Pune","types":["administrative_area_level_2","political"]},{"long_name":"Maharashtra","short_name":"MH","types":["administrative_area_level_1","political"]},{"long_name":"India","short_name":"IN","types":["country","political"]}],"formatted_address":"Pune, Maharashtra, India","geometry":{"bounds":{"northeast":{"lat":18.6357545,"lng":73.9864569},"southwest":{"lat":18.4134784,"lng":73.7394779}},"location":{"lat":18.5204303,"lng":73.8567437},"location_type":"APPROXIMATE","viewport":{"northeast":{"lat":18.6357545,"lng":73.9864569},"southwest":{"lat":18.4134784,"lng":73.7394779}}},"place_id":"ChIJARFGZy6_wjsRQ-Oenb9DjYI","types":["locality","political"]},{"address_components":[{"long_name":"411040","short_name":"411040","types":["postal_code"]},{"long_name":"Pune","short_name":"Pune","types":["locality","political"]},{"long_name":"Pune","short_name":"Pune","types":["administrative_area_level_2","political"]},{"long_name":"Maharashtra","short_name":"MH","types":["administrative_area_level_1","political"]},{"long_name":"India","short_name":"IN","types":["country","political"]}],"formatted_address":"Pune, Maharashtra 411040, India","geometry":{"bounds":{"northeast":{"lat":18.5105018,"lng":73.9287002},"southwest":{"lat":18.4785059,"lng":73.87890030000001}},"location":{"lat":18.492095,"lng":73.90017759999999},"location_type":"APPROXIMATE","viewport":{"northeast":{"lat":18.5105018,"lng":73.9287002},"southwest":{"lat":18.4785059,"lng":73.87890030000001}}},"place_id":"ChIJ-64DzdvBwjsRKzv08MBrn18","types":["postal_code"]},{"address_components":[{"long_name":"Pune","short_name":"Pune","types":["administrative_area_level_2","political"]},{"long_name":"Maharashtra","short_name":"MH","types":["administrative_area_level_1","political"]},{"long_name":"India","short_name":"IN","types":["country","political"]}],"formatted_address":"Pune, Maharashtra, India","geometry":{"bounds":{"northeast":{"lat":19.38404,"lng":75.16309},"southwest":{"lat":17.89324,"lng":73.32352}},"location":{"lat":18.6832564,"lng":74.0300122},"location_type":"APPROXIMATE","viewport":{"northeast":{"lat":19.38404,"lng":75.1447465},"southwest":{"lat":17.89324,"lng":73.32352}}},"place_id":"ChIJQ97RPE_AwjsR5zbDDbo3wHI","types":["administrative_area_level_2","political"]},{"address_components":[{"long_name":"Maharashtra","short_name":"MH","types":["administrative_area_level_1","political"]},{"long_name":"India","short_name":"IN","types":["country","political"]}],"formatted_address":"Maharashtra, India","geometry":{"bounds":{"northeast":{"lat":22.028441,"lng":80.890924},"southwest":{"lat":15.6024121,"lng":72.659363}},"location":{"lat":19.7514798,"lng":75.7138884},"location_type":"APPROXIMATE","viewport":{"northeast":{"lat":22.0279091,"lng":80.890924},"southwest":{"lat":15.6024121,"lng":72.659363}}},"place_id":"ChIJ-dacnB7EzzsRtk_gS5IiLxs","types":["administrative_area_level_1","political"]},{"address_components":[{"long_name":"India","short_name":"IN","types":["country","political"]}],"formatted_address":"India","geometry":{"bounds":{"northeast":{"lat":35.5087008,"lng":97.39535869999999},"southwest":{"lat":6.4626999,"lng":68.1097}},"location":{"lat":20.593684,"lng":78.96288},"location_type":"APPROXIMATE","viewport":{"northeast":{"lat":35.5087008,"lng":97.39498069999999},"southwest":{"lat":6.7535159,"lng":68.16288519999999}}},"place_id":"ChIJkbeSa_BfYzARphNChaFPjNc","types":["country","political"]},{"address_components":[{"long_name":"Uday Baug","short_name":"Uday Baug","types":["bus_station","establishment","point_of_interest","transit_station"]},{"long_name":"Uday Baug","short_name":"Uday Baug","types":["political","sublocality","sublocality_level_2"]},{"long_name":"Ghorpadi","short_name":"Ghorpadi","types":["political","sublocality","sublocality_level_1"]},{"long_name":"Pune","short_name":"Pune","types":["locality","political"]},{"long_name":"Pune","short_name":"Pune","types":["administrative_area_level_2","political"]},{"long_name":"Maharashtra","short_name":"MH","types":["administrative_area_level_1","political"]},{"long_name":"India","short_name":"IN","types":["country","political"]},{"long_name":"411001","short_name":"411001","types":["postal_code"]}],"formatted_address":"Uday Baug, Ghorpadi, Pune, Maharashtra 411001, India","geometry":{"location":{"lat":18.510892,"lng":73.906956},"location_type":"GEOMETRIC_CENTER","viewport":{"northeast":{"lat":18.5122409802915,"lng":73.9083049802915},"southwest":{"lat":18.5095430197085,"lng":73.90560701970848}}},"place_id":"ChIJ5YdfqcDBwjsR5VJutWLCsfA","types":["bus_station","establishment","point_of_interest","transit_station"]}],"status":"OK"}
row2) {"results":[{"address_components":[{"long_name":"Canal Road","short_name":"Canal Rd","types":["route"]},{"long_name":"Empress Garden View Society","short_name":"Empress Garden View Society","types":["political","sublocality","sublocality_level_3"]},{"long_name":"Uday Baug","short_name":"Uday Baug","types":["political","sublocality","sublocality_level_2"]},{"long_name":"Ghorpadi","short_name":"Ghorpadi","types":["political","sublocality","sublocality_level_1"]},{"long_name":"Pune","short_name":"Pune","types":["locality","political"]},{"long_name":"Pune","short_name":"Pune","types":["administrative_area_level_2","political"]},{"long_name":"Maharashtra","short_name":"MH","types":["administrative_area_level_1","political"]},{"long_name":"India","short_name":"IN","types":["country","political"]},{"long_name":"411001","short_name":"411001","types":["postal_code"]}],"formatted_address":"Canal Rd, Empress Garden View Society, Uday Baug, Ghorpadi, Pune, Maharashtra 411001, India","geometry":{"bounds":{"northeast":{"lat":18.510637,"lng":73.9070137},"southwest":{"lat":18.5102785,"lng":73.9016839}},"location":{"lat":18.510445,"lng":73.90438309999999},"location_type":"GEOMETRIC_CENTER","viewport":{"northeast":{"lat":18.5118067302915,"lng":73.9070137},"southwest":{"lat":18.50910876970849,"lng":73.9016839}}},"place_id":"ChIJ88lKe8fBwjsRCRKukkS6-nM","types":["route"]},{"address_components":[{"long_name":"Jambhulkar Mala","short_name":"Jambhulkar Mala","types":["political","sublocality","sublocality_level_2"]},{"long_name":"Wanowrie","short_name":"Wanowrie","types":["political","sublocality","sublocality_level_1"]},{"long_name":"Pune","short_name":"Pune","types":["locality","political"]},{"long_name":"Pune","short_name":"Pune","types":["administrative_area_level_2","political"]},{"long_name":"Maharashtra","short_name":"MH","types":["administrative_area_level_1","political"]},{"long_name":"India","short_name":"IN","types":["country","political"]}],"formatted_address":"Jambhulkar Mala, Wanowrie, Pune, Maharashtra, India","geometry":{"bounds":{"northeast":{"lat":18.510584,"lng":73.9071699},"southwest":{"lat":18.5064841,"lng":73.89949709999999}},"location":{"lat":18.508659,"lng":73.9029138},"location_type":"APPROXIMATE","viewport":{"northeast":{"lat":18.510584,"lng":73.9071699},"southwest":{"lat":18.5064841,"lng":73.89949709999999}}},"place_id":"ChIJJ0lCDMfBwjsRrPmUq2ZOxd8","types":["political","sublocality","sublocality_level_2"]},{"address_components":[{"long_name":"Wanowrie","short_name":"Wanowrie","types":["political","sublocality","sublocality_level_1"]},{"long_name":"Pune","short_name":"Pune","types":["locality","political"]},{"long_name":"Pune","short_name":"Pune","types":["administrative_area_level_2","political"]},{"long_name":"Maharashtra","short_name":"MH","types":["administrative_area_level_1","political"]},{"long_name":"India","short_name":"IN","types":["country","political"]}],"formatted_address":"Wanowrie, Pune, Maharashtra, India","geometry":{"bounds":{"northeast":{"lat":18.512962,"lng":73.9174169},"southwest":{"lat":18.480897,"lng":73.8890401}},"location":{"lat":18.4828904,"lng":73.9016832},"location_type":"APPROXIMATE","viewport":{"northeast":{"lat":18.512962,"lng":73.9174169},"southwest":{"lat":18.480897,"lng":73.8890401}}},"place_id":"ChIJ8TQ7l8LBwjsROUGpMh25HMw","types":["political","sublocality","sublocality_level_1"]},{"address_components":[{"long_name":"Pune","short_name":"Pune","types":["locality","political"]},{"long_name":"Prabhag 36","short_name":"Prabhag 36","types":["administrative_area_level_3","political"]},{"long_name":"Pune","short_name":"Pune","types":["administrative_area_level_2","political"]},{"long_name":"Maharashtra","short_name":"MH","types":["administrative_area_level_1","political"]},{"long_name":"India","short_name":"IN","types":["country","political"]}],"formatted_address":"Pune, Maharashtra, India","geometry":{"bounds":{"northeast":{"lat":18.6357545,"lng":73.9864569},"southwest":{"lat":18.4134784,"lng":73.7394779}},"location":{"lat":18.5204303,"lng":73.8567437},"location_type":"APPROXIMATE","viewport":{"northeast":{"lat":18.6357545,"lng":73.9864569},"southwest":{"lat":18.4134784,"lng":73.7394779}}},"place_id":"ChIJARFGZy6_wjsRQ-Oenb9DjYI","types":["locality","political"]},{"address_components":[{"long_name":"411040","short_name":"411040","types":["postal_code"]},{"long_name":"Pune","short_name":"Pune","types":["locality","political"]},{"long_name":"Pune","short_name":"Pune","types":["administrative_area_level_2","political"]},{"long_name":"Maharashtra","short_name":"MH","types":["administrative_area_level_1","political"]},{"long_name":"India","short_name":"IN","types":["country","political"]}],"formatted_address":"Pune, Maharashtra 411040, India","geometry":{"bounds":{"northeast":{"lat":18.5105018,"lng":73.9287002},"southwest":{"lat":18.4785059,"lng":73.87890030000001}},"location":{"lat":18.492095,"lng":73.90017759999999},"location_type":"APPROXIMATE","viewport":{"northeast":{"lat":18.5105018,"lng":73.9287002},"southwest":{"lat":18.4785059,"lng":73.87890030000001}}},"place_id":"ChIJ-64DzdvBwjsRKzv08MBrn18","types":["postal_code"]},{"address_components":[{"long_name":"Pune","short_name":"Pune","types":["administrative_area_level_2","political"]},{"long_name":"Maharashtra","short_name":"MH","types":["administrative_area_level_1","political"]},{"long_name":"India","short_name":"IN","types":["country","political"]}],"formatted_address":"Pune, Maharashtra, India","geometry":{"bounds":{"northeast":{"lat":19.38404,"lng":75.16309},"southwest":{"lat":17.89324,"lng":73.32352}},"location":{"lat":18.6832564,"lng":74.0300122},"location_type":"APPROXIMATE","viewport":{"northeast":{"lat":19.38404,"lng":75.1447465},"southwest":{"lat":17.89324,"lng":73.32352}}},"place_id":"ChIJQ97RPE_AwjsR5zbDDbo3wHI","types":["administrative_area_level_2","political"]},{"address_components":[{"long_name":"Maharashtra","short_name":"MH","types":["administrative_area_level_1","political"]},{"long_name":"India","short_name":"IN","types":["country","political"]}],"formatted_address":"Maharashtra, India","geometry":{"bounds":{"northeast":{"lat":22.028441,"lng":80.890924},"southwest":{"lat":15.6024121,"lng":72.659363}},"location":{"lat":19.7514798,"lng":75.7138884},"location_type":"APPROXIMATE","viewport":{"northeast":{"lat":22.0279091,"lng":80.890924},"southwest":{"lat":15.6024121,"lng":72.659363}}},"place_id":"ChIJ-dacnB7EzzsRtk_gS5IiLxs","types":["administrative_area_level_1","political"]},{"address_components":[{"long_name":"India","short_name":"IN","types":["country","political"]}],"formatted_address":"India","geometry":{"bounds":{"northeast":{"lat":35.5087008,"lng":97.39535869999999},"southwest":{"lat":6.4626999,"lng":68.1097}},"location":{"lat":20.593684,"lng":78.96288},"location_type":"APPROXIMATE","viewport":{"northeast":{"lat":35.5087008,"lng":97.39498069999999},"southwest":{"lat":6.7535159,"lng":68.16288519999999}}},"place_id":"ChIJkbeSa_BfYzARphNChaFPjNc","types":["country","political"]}],"status":"OK"}
row3) {"results":[{"address_components":[{"long_name":"Canal Road","short_name":"Canal Rd","types":["route"]},{"long_name":"Empress Garden View Society","short_name":"Empress Garden View Society","types":["political","sublocality","sublocality_level_3"]},{"long_name":"Uday Baug","short_name":"Uday Baug","types":["political","sublocality","sublocality_level_2"]},{"long_name":"Ghorpadi","short_name":"Ghorpadi","types":["political","sublocality","sublocality_level_1"]},{"long_name":"Pune","short_name":"Pune","types":["locality","political"]},{"long_name":"Pune","short_name":"Pune","types":["administrative_area_level_2","political"]},{"long_name":"Maharashtra","short_name":"MH","types":["administrative_area_level_1","political"]},{"long_name":"India","short_name":"IN","types":["country","political"]},{"long_name":"411001","short_name":"411001","types":["postal_code"]}],"formatted_address":"Canal Rd, Empress Garden View Society, Uday Baug, Ghorpadi, Pune, Maharashtra 411001, India","geometry":{"bounds":{"northeast":{"lat":18.510637,"lng":73.9070137},"southwest":{"lat":18.5102785,"lng":73.9016839}},"location":{"lat":18.510445,"lng":73.90438309999999},"location_type":"GEOMETRIC_CENTER","viewport":{"northeast":{"lat":18.5118067302915,"lng":73.9070137},"southwest":{"lat":18.50910876970849,"lng":73.9016839}}},"place_id":"ChIJ88lKe8fBwjsRCRKukkS6-nM","types":["route"]},{"address_components":[{"long_name":"Jambhulkar Mala","short_name":"Jambhulkar Mala","types":["political","sublocality","sublocality_level_2"]},{"long_name":"Wanowrie","short_name":"Wanowrie","types":["political","sublocality","sublocality_level_1"]},{"long_name":"Pune","short_name":"Pune","types":["locality","political"]},{"long_name":"Pune","short_name":"Pune","types":["administrative_area_level_2","political"]},{"long_name":"Maharashtra","short_name":"MH","types":["administrative_area_level_1","political"]},{"long_name":"India","short_name":"IN","types":["country","political"]}],"formatted_address":"Jambhulkar Mala, Wanowrie, Pune, Maharashtra, India","geometry":{"bounds":{"northeast":{"lat":18.510584,"lng":73.9071699},"southwest":{"lat":18.5064841,"lng":73.89949709999999}},"location":{"lat":18.508659,"lng":73.9029138},"location_type":"APPROXIMATE","viewport":{"northeast":{"lat":18.510584,"lng":73.9071699},"southwest":{"lat":18.5064841,"lng":73.89949709999999}}},"place_id":"ChIJJ0lCDMfBwjsRrPmUq2ZOxd8","types":["political","sublocality","sublocality_level_2"]},{"address_components":[{"long_name":"Wanowrie","short_name":"Wanowrie","types":["political","sublocality","sublocality_level_1"]},{"long_name":"Pune","short_name":"Pune","types":["locality","political"]},{"long_name":"Pune","short_name":"Pune","types":["administrative_area_level_2","political"]},{"long_name":"Maharashtra","short_name":"MH","types":["administrative_area_level_1","political"]},{"long_name":"India","short_name":"IN","types":["country","political"]}],"formatted_address":"Wanowrie, Pune, Maharashtra, India","geometry":{"bounds":{"northeast":{"lat":18.512962,"lng":73.9174169},"southwest":{"lat":18.480897,"lng":73.8890401}},"location":{"lat":18.4828904,"lng":73.9016832},"location_type":"APPROXIMATE","viewport":{"northeast":{"lat":18.512962,"lng":73.9174169},"southwest":{"lat":18.480897,"lng":73.8890401}}},"place_id":"ChIJ8TQ7l8LBwjsROUGpMh25HMw","types":["political","sublocality","sublocality_level_1"]},{"address_components":[{"long_name":"Pune","short_name":"Pune","types":["locality","political"]},{"long_name":"Prabhag 36","short_name":"Prabhag 36","types":["administrative_area_level_3","political"]},{"long_name":"Pune","short_name":"Pune","types":["administrative_area_level_2","political"]},{"long_name":"Maharashtra","short_name":"MH","types":["administrative_area_level_1","political"]},{"long_name":"India","short_name":"IN","types":["country","political"]}],"formatted_address":"Pune, Maharashtra, 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I'm trying to extract the values from the first occurrence of address component

such that my dummy code looks like

I'm checking for these character vector

 chck_list=c("street_address","street_number","route","intersection","political","country","administrative_area_level_1","administrative_area_level_2","administrative_area_level_3","administrative_area_level_4","administrative_area_level_5","colloquial_area","locality","ward","sublocality","neighborhood","premise","subpremise","postal_code","natural_feature","airport","park","point_of_interest")

this is the trial code

 js <- fromJSON(as.character(json_data_df1[1:nrow(json_data_df1), 'Json_obj']))
    count_numb=list()
    Type=list()
    long_name=list()
    short_name=list()

    for(i in 1:nrows(js)){
    if(js$status=="ok"){
    count_numb[i] <- length(js[1:nrows(js)][grep("type",js$results[[1]]$address_components[[1]])]) #Counting number of times the word "type" occurs so that the loop can be iterated that many number of times.
    if(js$results[[1]]$address_components[[1]] %in% chck_list) {
    Type[i] = #print the word from the object chck_list that is present in data
    long_name[i] = #print the value of long_name from the data that corresponds to Type[i]
    short_name[i] = #print the value of short_name from the data that corresponds to Type[i]
    }
}

SO my o/p would look like

      Street_number  route                                neighborhood          sublocality_level_2     sublocality_level_1    Locality     Sub_locality_level_3             ....
1)      16            Bhagwan Tatyasaheb Kawade Road       Palmgrove Society     Uday Baug               Ghorpadi               Pune           NA                             ....
2)      NA            Canal Road                           NA                    Uday Baug               Ghorpadi               Pune         Empress Garden View Society                        
.       .                .
.       .                . 
.       .                .

P.S= json_data_df1 is the name of my data frame;; Json_obj is the name of the column in which Json object is present

Does anyone have any idea of how do I go for it.

Any help would be much appreciated.

Thanks.

2条回答
\"骚年 ilove
2楼-- · 2019-08-18 15:28

There are a few geocoding packages available that will make your life easier for you, such as my googleway package that queries various Google APIs and 'simplifies' the results into data.frames / lists. From there you can extract your required elements using standard list/data.frame subsetting methods.

library(googleway)

addresses <- c("Bhagwan Tatyasaheb Kawade Road", "Empress Garden View Society")
apiKey <- 'your_api_key'

lst_geocode <- lapply(addresses, function(x){
    google_geocode(address = x,
                                 key = apiKey)
})

lapply(lst_geocode, function(x){
    x[['results']][['address_components']]
})

# [[1]]
# [[1]][[1]]
# long_name    short_name                                  types
# 1 Bhagwan Tatyasaheb Kawade Road BT Kawde Road                                  route
# 2                           Pune          Pune                    locality, political
# 3                           Pune          Pune administrative_area_level_2, political
# 4                    Maharashtra            MH administrative_area_level_1, political
# 5                          India            IN                     country, political
# 
# 
# [[2]]
# [[2]][[1]]
# long_name         short_name                                       types
# 1    Sopan Baug Road      Sopan Baug Rd                                       route
# 2 Sopan Baug Society Sopan Baug Society political, sublocality, sublocality_level_3
# 3        Kavade Mala        Kavade Mala political, sublocality, sublocality_level_2
# 4           Ghorpadi           Ghorpadi political, sublocality, sublocality_level_1
# 5               Pune               Pune                         locality, political
# 6               Pune               Pune      administrative_area_level_2, political
# 7        Maharashtra                 MH      administrative_area_level_1, political
# 8              India                 IN                          country, political
# 9             411001             411001                                 postal_code
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啃猪蹄的小仙女
3楼-- · 2019-08-18 15:30

I think you have first to use simplifyDataFrame = FALSE in the fromJSON function in order to get the data as a list:

dat = jsonlite::fromJSON("your_example_data.json", simplifyDataFrame = FALSE)

Then use a nested lapply to receive the three items of each sublist (I modified the lapply() function taking into account your last comment),

res = lapply(dat, function(x) {

  lapply(x[["results"]], function(y) {

    do.call(rbind, lapply(y[['address_components']], function(z) {

      if (is.null(z)) {                            # if array is empty return NA's for all 3 output items

        c(rep(NA, 3))}

      else {

        tmp_array_type = z[['types']]               # temporarily get the json-array including "street_number", "route", "neighborhood" etc.

        if (length(tmp_array_type) == 0) {          # if array is of length 0 then return NA

          out_type = NA}

        else if (length(tmp_array_type) == 3) {     # it array is of length 3 return the 3rd item

          out_type = z[['types']][3]}

        else if (("political" %in% tmp_array_type) && length(tmp_array_type) > 1) {    # if array includes political and it's length is greater than 1 then remove political and then receive the 1st item

          tmp_array_type = tmp_array_type[-which(tmp_array_type == "political")]

          out_type = tmp_array_type[1]}

        else {

          out_type = tmp_array_type[1]                 # for all other cases return the 1st item of the array
        }

        c(out_type, z[['long_name']], z[['short_name']])
      }
    }))
  })
})

example output

[[1]]
[[1]][[1]]
      [,1]                          [,2]                             [,3]               
 [1,] "street_number"               "16"                             "16"               
 [2,] "route"                       "Bhagwan Tatyasaheb Kawade Road" "BT Kawde Road"    
 [3,] "neighborhood"                "Palmgrove Society"              "Palmgrove Society"
 [4,] "sublocality_level_2"         "Uday Baug"                      "Uday Baug"        
 [5,] "sublocality_level_1"         "Ghorpadi"                       "Ghorpadi"         
 [6,] "locality"                    "Pune"                           "Pune"             
 [7,] "administrative_area_level_2" "Pune"                           "Pune"             
 [8,] "administrative_area_level_1" "Maharashtra"                    "MH"               
 [9,] "country"                     "India"                          "IN"               
[10,] "postal_code"                 "411001"                         "411001"           

[[1]][[2]]
     [,1]                          [,2]              [,3]             
[1,] "sublocality_level_2"         "Jambhulkar Mala" "Jambhulkar Mala"
[2,] "sublocality_level_1"         "Wanowrie"        "Wanowrie"       
[3,] "locality"                    "Pune"            "Pune"           
[4,] "administrative_area_level_2" "Pune"            "Pune"           
[5,] "administrative_area_level_1" "Maharashtra"     "MH"             
[6,] "country"                

.....

If you want to modify the lapply() function or the ifelse statements then a good tutorial can be found here.

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