Obtaining data from Spotify Top Charts using spotifyr









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2
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I'm trying to obtain the audio features for the top 200 charts of all of 2017 using the spotifyr package on R, I tried:



days<- spotifycharts::chartdaily()
for (i in days)
spotifycharts::chart_top200_daily(region = "global",days = "days[i]")



to obtain the top 200 daily for all of 2017, but I was unable to do it.
Can someone help me? :(










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  • 1




    You have days within quotes. Try removing the quotes: chart_top200_daily(region = "global", days = days[i])
    – Harro Cyranka
    Nov 11 at 18:49











  • Tried that, but did not work... I'm trying to make a loop to obtain the entire year of top 200 daily
    – Gerardo Garza
    Nov 11 at 19:01














up vote
2
down vote

favorite












I'm trying to obtain the audio features for the top 200 charts of all of 2017 using the spotifyr package on R, I tried:



days<- spotifycharts::chartdaily()
for (i in days)
spotifycharts::chart_top200_daily(region = "global",days = "days[i]")



to obtain the top 200 daily for all of 2017, but I was unable to do it.
Can someone help me? :(










share|improve this question



















  • 1




    You have days within quotes. Try removing the quotes: chart_top200_daily(region = "global", days = days[i])
    – Harro Cyranka
    Nov 11 at 18:49











  • Tried that, but did not work... I'm trying to make a loop to obtain the entire year of top 200 daily
    – Gerardo Garza
    Nov 11 at 19:01












up vote
2
down vote

favorite









up vote
2
down vote

favorite











I'm trying to obtain the audio features for the top 200 charts of all of 2017 using the spotifyr package on R, I tried:



days<- spotifycharts::chartdaily()
for (i in days)
spotifycharts::chart_top200_daily(region = "global",days = "days[i]")



to obtain the top 200 daily for all of 2017, but I was unable to do it.
Can someone help me? :(










share|improve this question















I'm trying to obtain the audio features for the top 200 charts of all of 2017 using the spotifyr package on R, I tried:



days<- spotifycharts::chartdaily()
for (i in days)
spotifycharts::chart_top200_daily(region = "global",days = "days[i]")



to obtain the top 200 daily for all of 2017, but I was unable to do it.
Can someone help me? :(







r loops spotify






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share|improve this question








edited Nov 11 at 18:55









Harro Cyranka

1,045513




1,045513










asked Nov 11 at 18:31









Gerardo Garza

161




161







  • 1




    You have days within quotes. Try removing the quotes: chart_top200_daily(region = "global", days = days[i])
    – Harro Cyranka
    Nov 11 at 18:49











  • Tried that, but did not work... I'm trying to make a loop to obtain the entire year of top 200 daily
    – Gerardo Garza
    Nov 11 at 19:01












  • 1




    You have days within quotes. Try removing the quotes: chart_top200_daily(region = "global", days = days[i])
    – Harro Cyranka
    Nov 11 at 18:49











  • Tried that, but did not work... I'm trying to make a loop to obtain the entire year of top 200 daily
    – Gerardo Garza
    Nov 11 at 19:01







1




1




You have days within quotes. Try removing the quotes: chart_top200_daily(region = "global", days = days[i])
– Harro Cyranka
Nov 11 at 18:49





You have days within quotes. Try removing the quotes: chart_top200_daily(region = "global", days = days[i])
– Harro Cyranka
Nov 11 at 18:49













Tried that, but did not work... I'm trying to make a loop to obtain the entire year of top 200 daily
– Gerardo Garza
Nov 11 at 19:01




Tried that, but did not work... I'm trying to make a loop to obtain the entire year of top 200 daily
– Gerardo Garza
Nov 11 at 19:01












1 Answer
1






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It works, if you turn days from tibble into vector:



days <- unlist(chart_daily())

lapply(days[1:3], function(i) chart_top200_daily("global", days = i))


But it parse data badly, so there will be problems with variable names, etc:



# A tibble: 6 x 5
x1 x2 x3 note.that.these.figures.are.generated.… x5
<int> <chr> <chr> <int> <chr>
1 NA Track Name Artist NA URL
2 1 thank u, next Ariana… 8293841 https://open.spoti…
3 2 Taki Taki (with S… DJ Sna… 5467625 https://open.spoti…
4 3 MIA (feat. Drake) Bad Bu… 3955367 https://open.spoti…
5 4 Happier Marshm… 3357435 https://open.spoti…
6 5 BAD XXXTEN… 3131745 https://open.spoti…





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    up vote
    0
    down vote













    It works, if you turn days from tibble into vector:



    days <- unlist(chart_daily())

    lapply(days[1:3], function(i) chart_top200_daily("global", days = i))


    But it parse data badly, so there will be problems with variable names, etc:



    # A tibble: 6 x 5
    x1 x2 x3 note.that.these.figures.are.generated.… x5
    <int> <chr> <chr> <int> <chr>
    1 NA Track Name Artist NA URL
    2 1 thank u, next Ariana… 8293841 https://open.spoti…
    3 2 Taki Taki (with S… DJ Sna… 5467625 https://open.spoti…
    4 3 MIA (feat. Drake) Bad Bu… 3955367 https://open.spoti…
    5 4 Happier Marshm… 3357435 https://open.spoti…
    6 5 BAD XXXTEN… 3131745 https://open.spoti…





    share|improve this answer
























      up vote
      0
      down vote













      It works, if you turn days from tibble into vector:



      days <- unlist(chart_daily())

      lapply(days[1:3], function(i) chart_top200_daily("global", days = i))


      But it parse data badly, so there will be problems with variable names, etc:



      # A tibble: 6 x 5
      x1 x2 x3 note.that.these.figures.are.generated.… x5
      <int> <chr> <chr> <int> <chr>
      1 NA Track Name Artist NA URL
      2 1 thank u, next Ariana… 8293841 https://open.spoti…
      3 2 Taki Taki (with S… DJ Sna… 5467625 https://open.spoti…
      4 3 MIA (feat. Drake) Bad Bu… 3955367 https://open.spoti…
      5 4 Happier Marshm… 3357435 https://open.spoti…
      6 5 BAD XXXTEN… 3131745 https://open.spoti…





      share|improve this answer






















        up vote
        0
        down vote










        up vote
        0
        down vote









        It works, if you turn days from tibble into vector:



        days <- unlist(chart_daily())

        lapply(days[1:3], function(i) chart_top200_daily("global", days = i))


        But it parse data badly, so there will be problems with variable names, etc:



        # A tibble: 6 x 5
        x1 x2 x3 note.that.these.figures.are.generated.… x5
        <int> <chr> <chr> <int> <chr>
        1 NA Track Name Artist NA URL
        2 1 thank u, next Ariana… 8293841 https://open.spoti…
        3 2 Taki Taki (with S… DJ Sna… 5467625 https://open.spoti…
        4 3 MIA (feat. Drake) Bad Bu… 3955367 https://open.spoti…
        5 4 Happier Marshm… 3357435 https://open.spoti…
        6 5 BAD XXXTEN… 3131745 https://open.spoti…





        share|improve this answer












        It works, if you turn days from tibble into vector:



        days <- unlist(chart_daily())

        lapply(days[1:3], function(i) chart_top200_daily("global", days = i))


        But it parse data badly, so there will be problems with variable names, etc:



        # A tibble: 6 x 5
        x1 x2 x3 note.that.these.figures.are.generated.… x5
        <int> <chr> <chr> <int> <chr>
        1 NA Track Name Artist NA URL
        2 1 thank u, next Ariana… 8293841 https://open.spoti…
        3 2 Taki Taki (with S… DJ Sna… 5467625 https://open.spoti…
        4 3 MIA (feat. Drake) Bad Bu… 3955367 https://open.spoti…
        5 4 Happier Marshm… 3357435 https://open.spoti…
        6 5 BAD XXXTEN… 3131745 https://open.spoti…






        share|improve this answer












        share|improve this answer



        share|improve this answer










        answered Nov 11 at 22:45









        utubun

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        1,1741711



























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